Seatug Presentation (Excel to Data Viz culture) Seattle Tableau User GroupRussell Spangler
This document discusses a Tableau user group meeting focused on transitioning from Excel to data visualization using Tableau. The meeting will feature presentations from two Tableau experts at Amazon on their experience using Tableau. The objectives of the meeting are explained, including comparing Excel and Tableau, overcoming data obstacles, design tips, and real world examples. Tips are provided on leveraging Tableau's capabilities, assessing existing Excel reports, starting out with Tableau, and achieving the goal of transitioning to Tableau.
This document summarizes an event hosted by the Cincinnati Tableau User Group. The agenda includes a Tableau training session led by local users covering multiple Tableau topics and techniques. This will be followed by a Q&A panel where multiple Tableau users will answer questions about Tableau Desktop and Server. The document provides details on the event hosts, trainers, topics to be covered in the training, and information on how to join the Cincinnati Tableau User Group.
SeaTug Presentation (Viz & Share) Seattle Tableau User GroupRussell Spangler
This document summarizes a Tableau visualization contest entry on sushi inspired by a Seattle restaurant. The visualization uses custom polygons to represent individual pieces of sushi. It includes an interactive voting system embedded in the visualization using web technologies. Other features include custom shapes, icons, and a handbuilt dataset. The document provides details on techniques for creating the polygons in Illustrator and Tableau, designing the voting system using PHP and SQL Server, and other design elements in the visualization like tooltips and paging.
Tableau Tutorial For Beginners | Tableau Training For Beginners | Tableau Cer...Edureka!
This Edureka Tableau Tutorial (Tableau Tutorial Blog: https://goo.gl/DaqKvp) helps you understand about Tableau in detail. This Tableau Tutorial is ideal for both beginners as well as professionals who want to master up their Tableau concepts.
This Edureka Tableau Tutorial provides knowledge on what Business Intelligence is and get an introduction to Tableau as well.This Tableau tutorial also gives a sample use case using a data set containing state wise population and crime rate, to create a Horizontal bar graph and Symbol map to represent the data.
Your company is not-yet- ready for the cloud ?
How to refresh your BI solution by providing the beauty of Power BI reports on premises and the ability from the same place to consume your legacy reports or to share efficiently your data model through a unique place. Demo based session with an architecture introduction and a "from the field" real project feedback.
Data Visualization with Microsoft Reporting ServicesChris Price
This document discusses data visualization techniques using Microsoft Reporting Services. It begins with an introduction to data visualization as both an art and science. The document then covers principles of visual design, different types of charts like line charts and bar charts, and how to encode data visually. It provides examples of effective and ineffective data visualization. Finally, it demonstrates capabilities of Reporting Services for creating visualizations and data charts.
This document discusses extending Splunk data access through ODBC connectivity with Tableau. It provides an overview of Tableau software for visualizing and exploring data, and how Tableau can now connect to Splunk data sources through ODBC. The presentation demonstrates how Splunk data can be analyzed in Tableau dashboards and visualizations, highlighting use cases across different teams at Tableau including security, operations, development, marketing and executives.
DAX and Power BI Training - 001 OverviewWill Harvey
Course & Power BI Overview: This is the first session in a course that primarily focuses on DAX and PowerPivot, but also teaches the surrounding tools such as Power Query, Power BI Desktop and PowerBI.com.
Tableau is a data visualization software company founded in 2003 that was acquired by Salesforce in 2019. It offers a suite of products for data preparation, visualization, sharing, and analytics. The Tableau platform is powered by its VizQL technology and allows users to connect to various data sources, prepare data, create interactive visualizations, dashboards, and stories, and share workbooks on Tableau Server or Tableau Online. Key products include Tableau Desktop, Tableau Server, Tableau Online, Tableau Reader and Tableau Mobile.
Tableau provides self-service business intelligence software that allows users to easily connect to various data sources, perform analysis and visualization, and share insights. Their flagship products include Tableau Desktop for analysis and dashboard creation, Tableau Server for publishing to the web, and Tableau Reader for viewing reports. Tableau uses an in-memory data engine for fast query performance on large datasets and supports a variety of visualizations and charts that can be customized using their "Show Me" feature.
Learn Power BI with Power Pivot, Power Query, Power View, Power Map and Q&AVishal Pawar
The document appears to be a slide deck presentation about Microsoft Power BI. It includes slides on Power Query, Power Pivot, Power View and Power Map. The presentation provides overviews of these tools, describes their capabilities and functionality, and includes demos of how to use them. It discusses how Power BI allows users to discover, visualize and share insights from data.
This document provides an overview and introduction to Tableau. It outlines the basic steps for connecting to different data sources, building initial views, and creating dashboards. The document covers prerequisites, an introduction to the Tableau workspace, demo instructions for connecting to sample data files and modifying data connections, and includes lab exercises for readers to practice the concepts. The goal is to help readers understand the basics of visualizing and exploring data using Tableau.
Create Dynamic Interactive Reports Using Power View by Peter Serzo - SPTechConSPTechCon
This document summarizes information about Power View. Power View allows users to interact with reports in Excel, Excel Web App, and standalone in SharePoint. It utilizes tabular models from Analysis Services. Power View is supported in Excel 2013, Excel Web App in SharePoint 2013/Office 365, and standalone in SharePoint 2010/2013 Enterprise editions with SQL Server 2012 SP1 BI. DirectQuery mode allows keeping data in a SQL database while using Power View. Power View compares to Excel reporting but does not replace SQL Reporting Services, PerformancePoint, or cell-based calculation tools.
Power BI is a business analytics service that allows users to analyze data and share insights through interactive reports and dashboards. It offers tools for data analysis, visualization, and reporting across desktop, web, and mobile devices. Power BI integrates with other Microsoft products like Excel, SQL Server, and SharePoint to deliver reports and dashboards to consumers through both cloud-based and on-premises deployment options.
Victoria Tableau User Group - Getting started with TableauDmitry Anoshin
This document provides an overview and agenda for a workshop on getting started with Tableau. It introduces the presenter and their experience. It then covers the basics of data visualization, the history and role of analytics. An overview of Tableau is provided, including the product offerings and how the different Tableau objects like data sources, dimensions, measures, worksheets and dashboards work. Real world examples are shown and learning resources are discussed. The document concludes with a planned hands-on Tableau desktop lab session to have participants connect data and create their own dashboards and workbooks.
Helping the business make sense of Business IntelligenceJohn White
Chances are, your role in IT has been changing as the needs of the business have changed. But the forces outside your company are now driving that change at an ever increasing pace. This environment means that you have a great opportunity to partner with your business colleagues to truly innovate rather than just do "break/fix". Understanding what business intelligence is and how it can help your business is a great place to start.
The world of business intelligence (BI) goes beyond what most think of as just "reporting". It has nuances and complexities that require a combination of skills and people. For example, are you ready to help your company understand the difference between analytical reporting and prescriptive reporting? What about "Big Data" and Data Mining? As a SharePoint Professional, you want to be aware of what is possible.
The document provides an overview of new data analytics capabilities in Excel including Power Query, Power Pivot, and Power View. It discusses three main steps to create insights with Power Query: 1) Get Data from various sources, 2) Shape Data by cleaning, filtering, and transforming it, and 3) Load Data into Excel, Power Pivot, or Power View. It then demonstrates how to build relationships and calculations with Power Pivot and visualize data with Power View and Power Map. The presentation aims to explain Microsoft's new focus on subscriptions, the cloud, and supporting analytics use cases.
This document provides an overview of Tableau, a data visualization software. It outlines the agenda for the presentation, which will cover connecting to data, visual analytics with Tableau, dashboards and stories, calculations, and mapping capabilities. Tableau allows users to connect to various data sources, transform raw data into interactive visualizations, and share dashboards or publish them online. It is a leading tool for data analysis and visualization.
This document discusses the importance of data modeling in Power BI and provides an agenda for a workshop on data modeling techniques. The agenda includes explaining why data modeling is important, relationships, cross filtering, many-to-many relationships, role playing dimensions, and using a calendar table. The workshop aims to explore the features of data modeling in Power BI and enable users to navigate data without having to rewrite queries each time.
Discover, Load, Transform and Mashup. Microsoft Power Query for Excel includes a powerful query engine and a formula language that enables self-service data integration and shaping over a diverse set of data sources. Power Query makes it possible for analysts to do basic ETL by themselves without much help from the IT department. Most common tasks can be accomplished within an intuitive user interface, but a powerful language called “M” can also be used to do some pretty sophisticated data preparation work. Come learn how to succeed and tackle your data and data-shaping needs.
Updated with the Power BI Designer (currently in preview) @ http://powerbi.com
Presented @ Ottawa SQL Server User Group (Ottawa PASS Chapter) Thursday February 19, 2015
This document discusses the new features in SQL Server 2016 related to business intelligence (BI). Key highlights include:
- Power BI integration, allowing paginated report items to be pinned to Power BI dashboards.
- Enhancements to SQL Server Reporting Services, including modern paginated reports with updated tools, mobile reports optimized for mobile devices, and a new web portal to consume both report types.
- The ability to export paginated reports to PowerPoint, pin report items to Power BI dashboards, and create interactive mobile reports accessed through a single mobile app.
This document provides an overview of Tableau, a data visualization tool. It discusses what Tableau is, how it allows users to transform raw data into understandable visual formats without coding. It also covers the benefits of data visualization for decision making, customer relationships, and performance. The document outlines Tableau's product suite, advantages like handling large data and mobile support, disadvantages like report scheduling. It provides requirements for Tableau Desktop and Server and considers Tableau alternatives.
Presented to The Ottawa IT Community Meetup Group (Ottawa SQL - PASS Chapter) on Thursday September 19
Powerful Self-Service BI in Excel 2013 - Data search and discovery with Power Query (formerly "Data Explorer"), analyzing and modeling with Power Pivot, visualizing and exploring with Power View and Power Map (formerly codename "GeoFlow")
Multidimensional or tabular points to considerDeepak Kumar
- Tabular cube solutions were created for self-service BI, low-latency real-time analytics, and compatibility with Power BI and competitors' in-memory solutions.
- Tabular uses columnar storage and can be deployed either with an in-memory or direct query model. Unlike MOLAP, it does not pre-aggregate data and stores data compressed on disk for backup.
- Tabular differs from multidimensional models in that it only uses tables instead of dimensions and facts, has a single model per database, and the model can pull from multiple data sources. Some functionality like ragged hierarchies is also missing.
To provide a self serviced, web based , cloud hosted, easy to use, quick to deploy and cost effective data visualization tool for business users in addition to BI application developers
Step-1 Tableau Introduction
Step-2 Connecting to Data
Step-3 Building basic views
Step-4 Data manipulations and Calculated fields
Step-5 Tableau Dashboards
Step-6 Advanced Data Options
Step-7 Advanced graph Options
This document discusses extending Splunk data access through ODBC connectivity with Tableau. It provides an overview of Tableau software for visualizing and exploring data, and how Tableau can now connect to Splunk data sources through ODBC. The presentation demonstrates how Splunk data can be analyzed in Tableau dashboards and visualizations, highlighting use cases across different teams at Tableau including security, operations, development, marketing and executives.
DAX and Power BI Training - 001 OverviewWill Harvey
Course & Power BI Overview: This is the first session in a course that primarily focuses on DAX and PowerPivot, but also teaches the surrounding tools such as Power Query, Power BI Desktop and PowerBI.com.
Tableau is a data visualization software company founded in 2003 that was acquired by Salesforce in 2019. It offers a suite of products for data preparation, visualization, sharing, and analytics. The Tableau platform is powered by its VizQL technology and allows users to connect to various data sources, prepare data, create interactive visualizations, dashboards, and stories, and share workbooks on Tableau Server or Tableau Online. Key products include Tableau Desktop, Tableau Server, Tableau Online, Tableau Reader and Tableau Mobile.
Tableau provides self-service business intelligence software that allows users to easily connect to various data sources, perform analysis and visualization, and share insights. Their flagship products include Tableau Desktop for analysis and dashboard creation, Tableau Server for publishing to the web, and Tableau Reader for viewing reports. Tableau uses an in-memory data engine for fast query performance on large datasets and supports a variety of visualizations and charts that can be customized using their "Show Me" feature.
Learn Power BI with Power Pivot, Power Query, Power View, Power Map and Q&AVishal Pawar
The document appears to be a slide deck presentation about Microsoft Power BI. It includes slides on Power Query, Power Pivot, Power View and Power Map. The presentation provides overviews of these tools, describes their capabilities and functionality, and includes demos of how to use them. It discusses how Power BI allows users to discover, visualize and share insights from data.
This document provides an overview and introduction to Tableau. It outlines the basic steps for connecting to different data sources, building initial views, and creating dashboards. The document covers prerequisites, an introduction to the Tableau workspace, demo instructions for connecting to sample data files and modifying data connections, and includes lab exercises for readers to practice the concepts. The goal is to help readers understand the basics of visualizing and exploring data using Tableau.
Create Dynamic Interactive Reports Using Power View by Peter Serzo - SPTechConSPTechCon
This document summarizes information about Power View. Power View allows users to interact with reports in Excel, Excel Web App, and standalone in SharePoint. It utilizes tabular models from Analysis Services. Power View is supported in Excel 2013, Excel Web App in SharePoint 2013/Office 365, and standalone in SharePoint 2010/2013 Enterprise editions with SQL Server 2012 SP1 BI. DirectQuery mode allows keeping data in a SQL database while using Power View. Power View compares to Excel reporting but does not replace SQL Reporting Services, PerformancePoint, or cell-based calculation tools.
Power BI is a business analytics service that allows users to analyze data and share insights through interactive reports and dashboards. It offers tools for data analysis, visualization, and reporting across desktop, web, and mobile devices. Power BI integrates with other Microsoft products like Excel, SQL Server, and SharePoint to deliver reports and dashboards to consumers through both cloud-based and on-premises deployment options.
Victoria Tableau User Group - Getting started with TableauDmitry Anoshin
This document provides an overview and agenda for a workshop on getting started with Tableau. It introduces the presenter and their experience. It then covers the basics of data visualization, the history and role of analytics. An overview of Tableau is provided, including the product offerings and how the different Tableau objects like data sources, dimensions, measures, worksheets and dashboards work. Real world examples are shown and learning resources are discussed. The document concludes with a planned hands-on Tableau desktop lab session to have participants connect data and create their own dashboards and workbooks.
Helping the business make sense of Business IntelligenceJohn White
Chances are, your role in IT has been changing as the needs of the business have changed. But the forces outside your company are now driving that change at an ever increasing pace. This environment means that you have a great opportunity to partner with your business colleagues to truly innovate rather than just do "break/fix". Understanding what business intelligence is and how it can help your business is a great place to start.
The world of business intelligence (BI) goes beyond what most think of as just "reporting". It has nuances and complexities that require a combination of skills and people. For example, are you ready to help your company understand the difference between analytical reporting and prescriptive reporting? What about "Big Data" and Data Mining? As a SharePoint Professional, you want to be aware of what is possible.
The document provides an overview of new data analytics capabilities in Excel including Power Query, Power Pivot, and Power View. It discusses three main steps to create insights with Power Query: 1) Get Data from various sources, 2) Shape Data by cleaning, filtering, and transforming it, and 3) Load Data into Excel, Power Pivot, or Power View. It then demonstrates how to build relationships and calculations with Power Pivot and visualize data with Power View and Power Map. The presentation aims to explain Microsoft's new focus on subscriptions, the cloud, and supporting analytics use cases.
This document provides an overview of Tableau, a data visualization software. It outlines the agenda for the presentation, which will cover connecting to data, visual analytics with Tableau, dashboards and stories, calculations, and mapping capabilities. Tableau allows users to connect to various data sources, transform raw data into interactive visualizations, and share dashboards or publish them online. It is a leading tool for data analysis and visualization.
This document discusses the importance of data modeling in Power BI and provides an agenda for a workshop on data modeling techniques. The agenda includes explaining why data modeling is important, relationships, cross filtering, many-to-many relationships, role playing dimensions, and using a calendar table. The workshop aims to explore the features of data modeling in Power BI and enable users to navigate data without having to rewrite queries each time.
Discover, Load, Transform and Mashup. Microsoft Power Query for Excel includes a powerful query engine and a formula language that enables self-service data integration and shaping over a diverse set of data sources. Power Query makes it possible for analysts to do basic ETL by themselves without much help from the IT department. Most common tasks can be accomplished within an intuitive user interface, but a powerful language called “M” can also be used to do some pretty sophisticated data preparation work. Come learn how to succeed and tackle your data and data-shaping needs.
Updated with the Power BI Designer (currently in preview) @ http://powerbi.com
Presented @ Ottawa SQL Server User Group (Ottawa PASS Chapter) Thursday February 19, 2015
This document discusses the new features in SQL Server 2016 related to business intelligence (BI). Key highlights include:
- Power BI integration, allowing paginated report items to be pinned to Power BI dashboards.
- Enhancements to SQL Server Reporting Services, including modern paginated reports with updated tools, mobile reports optimized for mobile devices, and a new web portal to consume both report types.
- The ability to export paginated reports to PowerPoint, pin report items to Power BI dashboards, and create interactive mobile reports accessed through a single mobile app.
This document provides an overview of Tableau, a data visualization tool. It discusses what Tableau is, how it allows users to transform raw data into understandable visual formats without coding. It also covers the benefits of data visualization for decision making, customer relationships, and performance. The document outlines Tableau's product suite, advantages like handling large data and mobile support, disadvantages like report scheduling. It provides requirements for Tableau Desktop and Server and considers Tableau alternatives.
Presented to The Ottawa IT Community Meetup Group (Ottawa SQL - PASS Chapter) on Thursday September 19
Powerful Self-Service BI in Excel 2013 - Data search and discovery with Power Query (formerly "Data Explorer"), analyzing and modeling with Power Pivot, visualizing and exploring with Power View and Power Map (formerly codename "GeoFlow")
Multidimensional or tabular points to considerDeepak Kumar
- Tabular cube solutions were created for self-service BI, low-latency real-time analytics, and compatibility with Power BI and competitors' in-memory solutions.
- Tabular uses columnar storage and can be deployed either with an in-memory or direct query model. Unlike MOLAP, it does not pre-aggregate data and stores data compressed on disk for backup.
- Tabular differs from multidimensional models in that it only uses tables instead of dimensions and facts, has a single model per database, and the model can pull from multiple data sources. Some functionality like ragged hierarchies is also missing.
To provide a self serviced, web based , cloud hosted, easy to use, quick to deploy and cost effective data visualization tool for business users in addition to BI application developers
Step-1 Tableau Introduction
Step-2 Connecting to Data
Step-3 Building basic views
Step-4 Data manipulations and Calculated fields
Step-5 Tableau Dashboards
Step-6 Advanced Data Options
Step-7 Advanced graph Options
Tableau Software - Business Analytics and Data Visualizationlesterathayde
Tableau boasts drag-and-drop features that allow users to visualize information from any structured format. Tableau is the only provider of data visualization and business intelligence software that can be installed and used by anyone while also adhering to IT standards making it the fastest growing tool on the planet for Business Intelligence. Gartner has recently named us in the magic Quadrant among the Top 27 vendors for BI tool. We are no 1 in ease of use, no 1 in reporting and dashboard creation, interactive visualization, etc.
. Feel free to download the product, see the sample reports & dashboards for other industries from
http://www.tableausoftware.com
Please use the below link to download a 15 Day trial version of Tableau Desktop and Server Versions.
http://www.tableausoftware.com/products/trial
You can also do a self-training by going through the Videos in the below link.
http://www.tableausoftware.com/learn/training.
The agenda outlines a morning event exploring the business analytics tool Tableau, including welcome remarks, two live demos by Ricardo Pires on exploring and sharing data with Tableau, a customer success story from Jornal Expresso, and a Q&A session. The event is organized by Xpand IT and will feature presentations from their staff as well as a client on how Tableau can change how people understand data.
Tableau is business intelligence software that was created in 1992 as VizQL and allows users to visualize data through drag-and-drop interfaces to create dashboards, charts, and maps. It has three main products - Tableau Desktop for personal use, Tableau Server for organizations, and Tableau Online for cloud-based offerings. Tableau can connect to different data sources and perform functions like mapping, filtering, and unlimited undo. It is an alternative to using Excel for data analysis and visualization, with pros like ease of use but potential cons around cost and capabilities. The business intelligence software market that Tableau operates in continues to grow.
Carnets de Voyage ~ By Stephanie Ledouxmaditabalnco
Stephanie Ledoux is an artist living in southern France who loves to travel and never leaves home without her sketchbook and pencils. She enjoys drawing people's faces as a way to meet them and get to know each other. After returning from her travels, she uses her collection of over 60 travel diaries as inspiration for larger art pieces she creates.
Capgemini reports on the major 2017 trends in the payments industry which revolve around three core areas of payment instruments, regulatory and industry initiatives, and key stakeholder strategies. Currently, the global payments industry is undergoing a paradigm shift with an influx of technology, demographic, and regulatory dynamics. While the customer facing part of the value chain continues to witness high levels of innovation, service providers are still grappling with back-end infrastructure enhancements. Trends such as new opportunities in the payments industry in terms of adoption of Open Application Programming Interfaces (APIs), growth in digital payments, innovation in cross-border payments, and challenges from the entry of alternative service providers are impacting the industry in terms of fostering competition, nurturing innovation, and enhancing process and system-related efficiencies.
Twitter gives B2B marketers a powerful opportunity to access broad networks of brands, companies and decision makers on Twitter. Supported by the latest research, we demonstrate why Twitter is not optional and why private and publicly listed brands are missing out on a solid opportunity if they do not incorporate Twitter into their marketing mix.
We demonstrate that Twitter is not optional for brands engaged with B2B marketing. We include the most recent data from multiple leading sources, including The Social Media Examiner, Inc.; Twitter, Inc.; Regalix, Inc. and others.
Twitter provides private and publicly-listed brands an opportunity to engage with broad networks of other brands, firms and key decision makers that also use Twitter. We note that Twitter's active user base is comprised of 250 million plus users and is growing.
When used effectively and in combination with communication strategy and tools, Twitter represents the optimal platform for deploying ongoing messaging. When viewed as a communications hub, Twitter is unrivaled through its ability to integrate other channels and information sources and to coordinate their priority and emphasis. Twitter is effective at relaying information on channels that include Websites, Press releases, Instragram, Facebook, Snapchat, URLs, and any other linkable source of information, and driving traffic to these same sources.
We note that press releases and awareness in general can be difficult for some brands and companies to generate but that Twitter is a proven solution.
Sky Alphabet is a social media marketing agency that utilizes Twitter to achieve growth, awareness and sales objectives through integrated forms of traditional and digital communications driven by Twitter. We understand that Twitter is "not easy" because of its unrelenting requirement for fresh and relevant content, but it is this same requirement that makes Twitter the ideal platform for brands, companies, people and products that are prepared to express themselves through such an advanced channel.
Author: Steve Yanor Aug 2016. @skyalphabet
Research sources: Regalix, Inc. Twitter, Inc. Social Media Examiner, Inc.
Presentation about data visualization and food, cooking, and recipes based off my Tableau public work. Presented at Fanalytics15 at the annual Tableau conference.
10 Things You Didn’t Know About Mobile Email from Litmus & HubSpotHubSpot
The document discusses key insights about mobile email usage and optimization. It shows that mobile email opens have grown 600% from 2011-2016, with over 70% of emails now being opened on mobile devices. When emails look bad on mobile, over 80% of users will still read them. The document provides tips for optimizing elements like preview text, links, text sizes, touch targets, and layouts for mobile. It also discusses different mobile email design approaches and resources for templates.
The document discusses the importance of connecting with buyers in an inbound way and how to execute the connect stage of the inbound sales methodology. It recommends defining buyer personas, outreach sequences for each persona, and personalized outreach content. It provides examples of developing buyer personas, sequences, and content for different lead sources like inbound leads and common connections. The document also provides examples of scripts for connect calls with different lead types and how to get buyer buy-in for longer exploratory conversations.
Modern Prospecting Techniques for Connecting with Prospects (from Sales Hacke...HubSpot
Sales is a difficult world to be in because buyers aren't putting up with salespeople anymore. Instead of helping and building relationships, sales reps are still focused on closing prospects - even when they aren't ready to buy! So buyers ignore them. Because of that, even great sales reps would be lucky to get on the phone with someone.
While buyers have evolved and become more sophisticated, sales reps and training programs have been slow to adapt to that change.
Learn actionable modern prospecting techniques you can apply immediately from two best selling authors and sales experts: Max Altschuler CEO of Sales Hacker, and Mark Roberge CRO of HubSpot.
Class 1: Email Marketing Certification course: Email Marketing and Your BusinessHubSpot
*From HubSpot Academy*
Over the past few decades, people have radically changed the way they live, work and buy. This class will give you an overview of an adaptive, inbound approach to sending emails that provide value and drive growth for your business. It will also teach you about the four big themes of a modern email marketing program: segmentation, personalization, mobile, and optimization.
This document summarizes diversity data from HubSpot in 2016. It shows the breakdown of employees by gender, age, ethnicity, and management level across different departments. While diversity is still lacking, especially in technical roles and leadership, progress was made in 2016 with increases in female representation and hiring of underrepresented ethnic groups. Continued efforts are needed to create a more inclusive workforce.
Why People Block Ads (And What It Means for Marketers and Advertisers) [New R...HubSpot
HubSpot Research shares new data on why people use ad blockers and what marketers and advertisers need to do to keep people from blocking out ads completely. Hint: it's stop using interruptive and annoying ads.
This document provides tips for optimizing performance in Power BI by focusing on different areas like data sources, the data model, visuals, dashboards, and using trace and log files. Some key recommendations include filtering data early, keeping the data model and queries simple, limiting visual complexity, monitoring resource usage, and leveraging log files to identify specific waits and bottlenecks. An overall approach of focusing on time-based optimization by identifying and addressing the areas contributing most to latency is advocated.
This document discusses techniques for optimizing Power BI performance. It recommends tracing queries using DAX Studio to identify slow queries and refresh times. Tracing tools like SQL Profiler and log files can provide insights into issues occurring in the data sources, Power BI layer, and across the network. Focusing on optimization by addressing wait times through a scientific process can help resolve long-term performance problems.
Webinar: Introducing the MongoDB Connector for BI 2.0 with TableauMongoDB
Pairing your real-time operational data stored in a modern database like MongoDB with first-class business intelligence platforms like Tableau enables new insights to be discovered faster than ever before.
Many leading organizations already use MongoDB in conjunction with Tableau including a top American investment bank and the world’s largest airline. With the Connector for BI 2.0, it’s never been easier to streamline the connection process between these two systems.
In this webinar, we will create a live connection from Tableau Desktop to a MongoDB cluster using the Connector for BI. Once we have Tableau Desktop and MongoDB connected, we will demonstrate the visual power of Tableau to explore the agile data storage of MongoDB.
You’ll walk away knowing:
- How to configure MongoDB with Tableau using the updated connector
- Best practices for working with documents in a BI environment
- How leading companies are using big data visualization strategies to transform their businesses
Tableau & MongoDB: Visual Analytics at the Speed of ThoughtMongoDB
This document discusses how Tableau and MongoDB can work together for visual analytics of big data. It describes how MongoDB is a NoSQL database that can handle unstructured and semi-structured data like JSON, and how Tableau allows users to connect to MongoDB through an ODBC driver and visualize the data without needing to write code. The document outlines scenarios where big data comes from human, machine, and process sources and how the combination of Tableau and MongoDB's schema-on-read approach reduces the need for ETL. It also previews demos of connecting Tableau to MongoDB using both the ODBC driver and a PostgreSQL interface.
DAS Slides: Data Architect vs. Data Engineer vs. Data ModelerDATAVERSITY
This document discusses the roles of data architect, data engineer, and data modeler. A data architect requires comprehensive experience and must work with both technical and business teams. Data engineers specialize in big data solutions using technologies like data lakes and warehouses. Data modelers translate business rules into data models and designs. Hiring good data modelers is important for projects.
Enterprise Data World 2018 - Building Cloud Self-Service Analytical SolutionDmitry Anoshin
This session will cover building the modern Data Warehouse by migration from the traditional DW platform into the cloud, using Amazon Redshift and Cloud ETL Matillion in order to provide Self-Service BI for the business audience. This topic will cover the technical migration path of DW with PL/SQL ETL to the Amazon Redshift via Matillion ETL, with a detailed comparison of modern ETL tools. Moreover, this talk will be focusing on working backward through the process, i.e. starting from the business audience and their needs that drive changes in the old DW. Finally, this talk will cover the idea of self-service BI, and the author will share a step-by-step plan for building an efficient self-service environment using modern BI platform Tableau.
Using OBIEE and Data Vault to Virtualize Your BI Environment: An Agile ApproachKent Graziano
This document discusses using Oracle Business Intelligence Enterprise Edition (OBIEE) and the Data Vault data modeling technique to virtualize a business intelligence environment in an agile way. Data Vault provides a flexible and adaptable modeling approach that allows for rapid changes. OBIEE allows for the virtualization of dimensional models built on a Data Vault foundation, enabling quick iteration and delivery of reports and dashboards to users. Together, Data Vault and OBIEE provide an agile approach to business intelligence.
Practical Business Intelligence with SharePoint 2013Ivan Sanders
This sessions provides an overview of the new features available to business users and the knowledge they need to start building their own Dashboards using the tools they already know Excel to implement Business Intelligence features they may not have used previously like SQL Analysis Service, SQL Reporting Services, PowerView, PowerPivot, and Excel Services
Solving Data Discovery Challenges at Lyft with Amundsen, an Open-source Metad...Databricks
Amundsen is the data discovery metadata platform that originated from Lyft which is recently donated to Linux Foundation AI. Since its open-sourced, Amundsen has been used and extended by many different companies within our community.
Data visualization is the process of visually representing information to help understand it more quickly. It is important because visuals allow humans to understand complex information instantly. Data visualization helps businesses make better decisions faster by communicating more information than tables and requiring less memory. Tableau is a popular business intelligence tool that allows users to interactively visualize and analyze data through drag-and-drop functionality. It can connect to various data sources and produce many chart types to provide rapid, real-time analysis of large datasets.
No doubt Visualization of Data is a key component of our industry. The path data travels since it is created till it takes shape in a chart is sometimes obscure and overlooked as it tends to live in the engineering side (when volume is relevant), an area where Data Scientist tend to visit but not the usual Web/Marketing Data Analyst. Nowadays the options to tame all that journey and make the best of it are many and they don't require extensive engineering knowledge. Small or Big Data, let's see what "Store, Extract, Transform, Load, Visualize" is all about.
Best practices to deliver data analytics to the business with power biSatya Shyam K Jayanty
Get your data to life with Power BI visualization and insights!
With the changing landscape of Power BI features it is essential to get hold of configuration and deployment practices within your data platform that will ensure you are on-par with compliance & security practices. In this session we will overview from the basics leading into advanced tricks on this landscape:
How to deploy Power BI?
How to implement configuration parameters and package BI features as a part of Office 365 roll out in your organisation?
What are newest features and enhancements on this Power BI landscape?
How to manage on-premise vs on-cloud connectivity?
How can you help and support the Power BI community as well?
Having said that within the objectives of this session, cloud computing is another aspect of this technology made is possible to get data within few clicks and ticks to the end-user. Let us review how to manage & connect on-premise data to cloud capabilities that can offer full advantage of data catalogue capabilities by keeping data secure as per Information Governance standards. Not just with nuts and bolts, performance is another aspect that every Admin is keeping up, let us look into few settings on how to maximize performance to optimize access to data as required. Gain understanding and insight into number of tools that are available for your Business Intelligence needs. There will be a showcase of events to demonstrate where to begin and how to proceed in BI world.
- D BI A Consulting
[email protected]
Microsoft BI reporting capabilities (on-prem solutions) Presentationjeromedoyen
Microsoft BI Reporting Solutions (on-prem) Presentation by OKTOPUS Consulting - Discover a complete presentation of MS BI reporting solution (for on-prem architecture) #data #datavizualization #microsoft #bi #Q12018
IBM's Big Data platform provides tools for managing and analyzing large volumes of data from various sources. It allows users to cost effectively store and process structured, unstructured, and streaming data. The platform includes products like Hadoop for storage, MapReduce for processing large datasets, and InfoSphere Streams for analyzing real-time streaming data. Business users can start with critical needs and expand their use of big data over time by leveraging different products within the IBM Big Data platform.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
SQL Server 2016 introduces several new features for In-Memory OLTP including support for up to 2 TB of user data in memory, system-versioned tables, row-level security, and Transparent Data Encryption. The in-memory processing has also been updated to support more T-SQL functionality such as foreign keys, LOB data types, outer joins, and subqueries. The garbage collection process for removing unused memory has also been improved.
Building Modern Data Platform with Microsoft AzureDmitry Anoshin
This document provides an overview of building a modern cloud analytics solution using Microsoft Azure. It discusses the role of analytics, a history of cloud computing, and a data warehouse modernization project. Key challenges covered include lack of notifications, logging, self-service BI, and integrating streaming data. The document proposes solutions to these challenges using Azure services like Data Factory, Kafka, Databricks, and SQL Data Warehouse. It also discusses alternative implementations using tools like Matillion ETL and Snowflake.
Seattle DAA - Data Visualization - Russell Spangler December 2019 Russell Spangler
I presented at the Seattle DAA conference on Microsoft's conference. Presentation goes over principals and tips of data visualization and talks about inspiration on how to build awesome visuals!
Data Visualization - UC Analytics Conference 2018Russell Spangler
Data visualization presentation provided during the University of Cincinnati Data and Analytics conference. Discusses how to build out a data visualization group from scratch.
London Tableau User Group November 2017 Presentation - How To Build Tableau T...Russell Spangler
Russell Spangler is a senior business intelligence manager at Amazon with over 6 years of experience using Tableau. He won the 2016 Iron Viz "Food Fight" competition with a visualization featuring custom polygons depicting sushi pieces. For his Tiger VIZ, he created a custom polygon tiger and used basic charts like area charts, dual-axis maps and bar graphs alongside custom icons to tell the story in a clean and impactful design. Russell emphasizes finding time for passion projects to challenge skills, develop creativity, and gain recognition in the data visualization community through competitions like Iron Viz.
Cincinnati Tableau User Group Event #8 (Mapping)Russell Spangler
This document summarizes an upcoming Tableau user group event focused on mapping. The event will include tips and tricks on spatial data preparation, dual axis maps, and custom geographies. Attendees can learn about custom maps and customization techniques. The group meets monthly to discuss Tableau topics and networking opportunities are provided.
The document summarizes an agenda for a Tableau user group meeting in Cincinnati. The summary is:
1. The meeting will include presentations on using Tableau at the University of Cincinnati and a collaboration project. Attendees are encouraged to socialize.
2. Future events will focus on topics like hands-on learning and work experiences with Tableau. Locations, times, and topics are open for input.
3. Attendees are invited to join the Cincinnati Tableau user group page to receive updates and connect with other members.
This document outlines the agenda and details for the Cincinnati Tableau User Group's Event #2, called the Cincinnati Iron Viz competition. The event will include time for attendees to network, a 30-minute competition period for teams to build visualizations (viz) using provided dam infrastructure data, and then teams will present their viz to judges. The document provides rules for the competition, information about the data set, scoring criteria for the judges, lists of competitor teams and judges. It also advertises future Tableau training courses and the next user group meeting.
This document outlines an agenda and goals for a Tableau user group meeting in Cincinnati. The agenda includes introductions, a discussion of data structuring best practices in Tableau, and a review of new features in Tableau 9. The goals of the user group are to build knowledge of data visualization using Tableau, create a local community for sharing expertise, and have fun. Future events are discussed, including topics of interest, location, time, format, and looking for volunteers. Data design best practices for Tableau like having each row represent one data point are also covered.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
3. CINCINNATI TO SEATTLE
Tableau helped me land
my job!
(My last 3 companies had purchased
Tableau and needed someone to lead
the growth)
Cincinnati to Seattle
2,327miles
Car: 35 hours
Train: 2 days 11 hours
Walking: 32 days
Biking: 9 days
FAR FROM HOME
https://www.yelp.com/biz/collective-espresso-cincinnati
4. HOWI GOT HERE
I’m a data person.
My Experience
Masters of Science, Information Systems
Bachelor of Science, Information Systems
MY BACKGROUND
Minitab
Excel
Crystal Reports
SSRS
Microstrategy
SAS/JMP
COBOL
Perl
VB6
Java
ASP.net/C#
SQL
SQL
Analytics (R)
Python
Data Visualization (Tableau)
Graphic Design
Cloud based tools (AWS / Azure)
Recommendations
10. 2016 Food Fight Iron Viz Feeder
Contest Winner
Currently 34K views
Learn how to build the viz:
http://www.slideshare.net/RussellSpangl
er/seatug-presentation-viz-amp-share-
seattle-tableau-user-group
Inspired by Sushi Kashiba http://www.yelp.com/biz/sushi-kashiba-seattle
PEOPLE LOVE TABLEAU
Notable Features
• Custom Polygons
• Interactive Voting System
• Custom Icons
• Graphic Design
• Hand built dataset
11. Visible Areas
• Charts & Graphs
• Tableau Workbooks
• Structured Datasets
• Tangible End Results
Note: The Awesome Part of Data Visualization
Non-Visible Areas
• Data Hygiene
• Data Management
• ETL
• Structuring Data
• Database Design & Management
• Organizing & Locating Data Sources
• Non-Tangible “Non-IT” End Results
Note: Non-Glorious Part of Data Visualization
DATA ICEBERG
12. Sketching or Wire Framing.
Recommended to help reduce
getting stuck during the
building process. Understand
the focus/goal of the report.
SKETCH & FOCUS
Connect to Data and Build.
Review your data before
building.
DEVELOPMENT
Revisit and Tweak.
Use end-user feedback to help
finalize your design. Make sure
your end-users are happy with
the report.
FEEDBACK
Review Your Creation.
Does your design make it
easy to answer the questions
you are trying to solve?
REVIEW
Tip: During development build the more difficult visuals first to confirm your data structure
MY PROCESS
13. WHAT IS TABLEAU
• Better charts and graphs
• Advanced analytics
• Requires data to be
structured
VISUALS
• Calculated measures
• Custom data connections
• Command line server
administration and automation
PROGRAMMING
• Data visualization tool
• Server product provides a
centralized reporting portal
• Scalable server architecture
Software
• R integration
• Basic forecasting
• Drag and drop interface
DATA MINING
• Interactive (dashboard actions)
• Allows discovery
Extras
• Copy & paste
• Live connection
• Extract (fast snapshot /
refreshable)
• Predefined data connections
(easy to setup data feeds)
DATA
WHY IS TABLEAU AWESOME
14. Leverage Tableau’s strengths
• Keep it Simple: basic chart types (lines & bars) with a high level of execution
• Design: Make it look great (at least better than Excel)
• Color: Use a modern but simple color palette
• Create Interactivity: Use dashboard actions
• Make it Meaningful: Focus on the end user and goals
• Build Trust: double check your data & numbers
The 30* second test
• Dashboards should be clear and easy to understand (if you don’t know what
you are looking at within 30 seconds, the design could be too complicated)
• *Exact timing target varies
FIRST REPORT STRATEGY
15. WAKE UP CALL
The Test
• Display a current report and ask questions regarding the data
• Time how long it takes for people to answer
• Display a newly designed report and ask similar questions regarding the data
• Time the results & compare
Time to Insight (quantify your return!)
• The time it take end users to answer their questions
• The value of time of end users and the reduction of time your reports can provide
• 1 report reduces 15 minutes of work for 20 end users each week = savings of 5 hrs/wk or 260
hrs/yr
• The higher up the end user is in the organization normally equates for the need for faster
insights
Tip: Reach the “AHA” moment when people realize current reports might not be the best
TEST YOUR VIZ
16. Non-analytical users want to use Tableau to understand their data
Areas of interest
• Self-service reporting
• Real-time reports
• Remove dependency on developers
• Centralized reporting portals
• Large amounts of data
• Variety of data sources
• Compatibility with AWS / cloud products
• Development speed / rapid prototypes
• Intuitive features for users
• Automation capability
• Interactive reports / data discovery
MY EXPERIENCE
Hurdles
• Legacy products and legacy reports
• Cultural change for better data
visualization practices
• Cost
• Large scale data management
• Security
• Trust in the data and the new product
17. EC2 (recommend minimum r3.2xlarge, <25 users)
Tableau Server CPU or user licensing structure
S3 (EBS for performance file storage)
File storage and expanding EC2 storage
RDS
General database requirements (Amazon Aurora for increased performance)
Redshift
Large amounts of data and high-end database performance
Data Pipeline
Scheduled automated ETL tasks
CloudWatch, Loading Balancing, Lambda, and SNS
Additional functionality
TABLEAU AWS architecture
18. Successful Implementation Benefits
• Reduced server administration
• Automated backups
• Scalable architecture
• High availability across multiple regions
• Automated alerts
• Scheduled data import & export processes
• Ability to handle large amounts of data (‘big data solution’)
• Triggerable processes based on custom criteria
• Downgrade or upgrade with only a few clicks
Having a strong data backend allows Tableau server to focus on rendering
visualizations
THE PAYOFF
19. Create a positive environment for data visualization growth
• Be a resource for internal tableau support
• Host open office hours and training sessions
• Encourage training and additional educational opportunities
Support growth in
• Data modeling & structure
• SQL
• Data visualization best practices
• Graphical design
• Data analytics
• Journalism
Tip: Spend time each week and visit a few websites & blogs
BUILD A CULTURE
20. Running Tableau Server on Amazon AWS
http://kb.tableau.com/articles/knowledgebase/running-tableau-server-on-amazon-aws
Distributed Tableau Server Environments
http://onlinehelp.tableau.com/current/server/en-us/distrib.htm
Tableau Server on AWS (AWS whitepaper)
https://d0.awsstatic.com/whitepapers/tableau-server-on-aws.pdf
Tableau Server System Requirements
http://www.tableau.com/products/techspecs#server
Tableau & Redshift Portal
http://www.tableau.com/stories/topic/amazon-redshift-and-aws
Tableau Enterprise Deployments
http://www.tableau.com/drive
AWS offers free-tier
usage for some
products!
https://aws.amazon.com/redshift/
AWS & TABLEAU RESOURCES
21. Modern Approach Enterprise Analytics
http://www.tableau.com/community/events/modern-approach-enterprise-analytics
Tableau Public Authors, Gallery, and Viz of the Day
https://public.tableau.com/s/gallery
Tableau Help Resources (Quick Start, Videos, and Forums)
http://www.tableau.com/learn
http://www.tableau.com/support/manuals/quickstart
Tableau Forums & User Groups
https://community.tableau.com/community/forums
https://community.tableau.com/community/groups
ADDITIONAL RESOURCES