Power BI Full Course | Power BI Tutorial for Beginners | EdurekaEdureka!
YouTube Link: https://youtu.be/3u7MQz1EyPY
** Power BI Training - https://www.edureka.co/power-bi-training **
This Edureka PPT on "Power BI Full Course" will help you understand and learn Power BI in detail. This Power BI Tutorial is ideal for both beginners as well as professionals who want to master up their Power BI concepts.
This document provides an overview and instructions for attending a "Dashboard in a Day" workshop on Microsoft Power BI. It includes prerequisites for the workshop, such as having a computer that meets minimum system requirements and having a Power BI account. The agenda outlines the topics to be covered, including introductions, building reports and dashboards in Power BI Desktop and the Power BI service, and opportunities for questions. Resources are provided on connecting to the workshop wireless network and engaging with the broader Power BI community.
Introduction to Power BI to make smart decisionsVIVEK GURURANI
Power BI: Business intelligence like never before!
Power BI is a tool that allows accounting and finance managers and professionals to have relevant information at the right time to make strategic decisions in a flexible, centralized, and secure way. Transform your business with predictive analytics, data visualization, and information in real-time, thanks to Power BI.
Presentation Agenda:
1. Introduction to Power BI
2. Why would your business need Power BI?
3. Power BI Architecture
4. Data Sanitization & Cleansing Capabilities
5. Analytical Insights
6. Generating Department Wise Reports & Visualizations
7. Latest & Upcoming Power BI features
8. Live Q&A
Power BI Tutorial For Beginners | Power BI Tutorial | Power BI Demo | Power B...Edureka!
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka videoon "Power BI Tutorial" will provide you with the fundamental knowledge on Power BI (Blog: https://goo.gl/uFTDU3). Below are the topics covered in this tutorial:
1. Why do we need Business Intelligence?
2. What is Self Service Business Intelligence?
3. Why Power BI?
4. What is Power BI?
5. Demo: Report and Dashboard Creation
Power BI is a business analytics service that enables you to see all of your data through a single pane of glass. Live Power BI dashboards and reports...
Power BI is a business analytics service that allows users to connect to data, model and visualize data, and share insights. It includes the Power BI service, Power BI Desktop, and Power BI Premium. The Power BI service allows users to publish reports and dashboards to a cloud-based workspace for collaboration and sharing. Power BI Desktop is a free desktop application for building reports and data models. Power BI Premium provides dedicated cloud capacity for large-scale deployments and on-premises gateways.
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
Slides for the Usergroup meeting for the Manchester Power BI User Group on June 27th, 2019.
Subject: Power BI for Developers about Power BI Embedded and Power BI Custom Visuals
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.
Doug Bateman, a principal data engineering instructor at Databricks, presented on how to build a Lakehouse architecture. He began by introducing himself and his background. He then discussed the goals of describing key Lakehouse features, explaining how Delta Lake enables it, and developing a sample Lakehouse using Databricks. The key aspects of a Lakehouse are that it supports diverse data types and workloads while enabling using BI tools directly on source data. Delta Lake provides reliability, consistency, and performance through its ACID transactions, automatic file consolidation, and integration with Spark. Bateman concluded with a demo of creating a Lakehouse.
Working with Microsoft Power Business Inteligence Tools - Presented by AtidanDavid J Rosenthal
Power BI provides self-service business intelligence (BI) tools for data analysis and visualization. It includes Power Query for data discovery and transformation, Power Pivot for data modeling, Power View for interactive data visualization, and Power Map for geographical data visualization. These tools can be used with Excel, SharePoint, and mobile devices to enable users to analyze, visualize, and share insights from data. Power BI also offers collaboration features through an online dashboard and app.
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")
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
This document provides an overview of Power BI, including:
- A history of Power BI and its tools over time from 2009 to present day.
- An overview of the different Power BI tools for preparing, building, exploring and reporting on data.
- How Power BI fits into the broader business intelligence ecosystem for preparing, modeling, visualizing and sharing data and reports.
- The capabilities Power BI provides for analysts, IT professionals and business users.
Introduction to Snowflake Datawarehouse and Architecture for Big data company. Centralized data management. Snowpipe and Copy into a command for data loading. Stream loading and Batch Processing.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
BI: new of the buzz words that everyone is talking about but what is it? How can it be used to make a impact in my organization? How do I get started? In this session, we will talk about it and show you a live example in Office 365's SharePoint Online.
Objectives/Outcomes: In this session, participants will learn:
1. What is BI
2. What is Microsoft's Power BI
3. Case Studies
4. How can I get it
This document provides an introduction and overview of Azure Data Lake. It describes Azure Data Lake as a single store of all data ranging from raw to processed that can be used for reporting, analytics and machine learning. It discusses key Azure Data Lake components like Data Lake Store, Data Lake Analytics, HDInsight and the U-SQL language. It compares Data Lakes to data warehouses and explains how Azure Data Lake Store, Analytics and U-SQL process and transform data at scale.
Part of proper governance in Power BI means taking proper care of what goes on in your tenant. Here's a list of areas you need to watch for and some helpful telemetry to start collecting.
At wetter.com we build analytical B2B data products and heavily use Spark and AWS technologies for data processing and analytics. I explain why we moved from AWS EMR to Databricks and Delta and share our experiences from different angles like architecture, application logic and user experience. We will look how security, cluster configuration, resource consumption and workflow changed by using Databricks clusters as well as how using Delta tables simplified our application logic and data operations.
Architect’s Open-Source Guide for a Data Mesh ArchitectureDatabricks
Data Mesh is an innovative concept addressing many data challenges from an architectural, cultural, and organizational perspective. But is the world ready to implement Data Mesh?
In this session, we will review the importance of core Data Mesh principles, what they can offer, and when it is a good idea to try a Data Mesh architecture. We will discuss common challenges with implementation of Data Mesh systems and focus on the role of open-source projects for it. Projects like Apache Spark can play a key part in standardized infrastructure platform implementation of Data Mesh. We will examine the landscape of useful data engineering open-source projects to utilize in several areas of a Data Mesh system in practice, along with an architectural example. We will touch on what work (culture, tools, mindset) needs to be done to ensure Data Mesh is more accessible for engineers in the industry.
The audience will leave with a good understanding of the benefits of Data Mesh architecture, common challenges, and the role of Apache Spark and other open-source projects for its implementation in real systems.
This session is targeted for architects, decision-makers, data-engineers, and system designers.
Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
This presentation will give you an overview of what Microsoft Power BI is. What are its features. Why it is an upcoming popular Data Visualization tool in the market. How to use it and comparison with other Visualization tools.
What is the Power BI and learn the Power BI by self and this presentation contains some use full links which help us at time of developing the Power BI.
Power BI is a self-service business intelligence tool that allows users to analyze data and create reports and visualizations. It includes components for data discovery, analysis, and visualization both on-premises using Excel and in the cloud using the Power BI service. The tool integrates with Office 365 and allows users to discover, visualize, and share insights from data.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
Slides for the Usergroup meeting for the Manchester Power BI User Group on June 27th, 2019.
Subject: Power BI for Developers about Power BI Embedded and Power BI Custom Visuals
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.
Doug Bateman, a principal data engineering instructor at Databricks, presented on how to build a Lakehouse architecture. He began by introducing himself and his background. He then discussed the goals of describing key Lakehouse features, explaining how Delta Lake enables it, and developing a sample Lakehouse using Databricks. The key aspects of a Lakehouse are that it supports diverse data types and workloads while enabling using BI tools directly on source data. Delta Lake provides reliability, consistency, and performance through its ACID transactions, automatic file consolidation, and integration with Spark. Bateman concluded with a demo of creating a Lakehouse.
Working with Microsoft Power Business Inteligence Tools - Presented by AtidanDavid J Rosenthal
Power BI provides self-service business intelligence (BI) tools for data analysis and visualization. It includes Power Query for data discovery and transformation, Power Pivot for data modeling, Power View for interactive data visualization, and Power Map for geographical data visualization. These tools can be used with Excel, SharePoint, and mobile devices to enable users to analyze, visualize, and share insights from data. Power BI also offers collaboration features through an online dashboard and app.
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")
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
This document provides an overview of Power BI, including:
- A history of Power BI and its tools over time from 2009 to present day.
- An overview of the different Power BI tools for preparing, building, exploring and reporting on data.
- How Power BI fits into the broader business intelligence ecosystem for preparing, modeling, visualizing and sharing data and reports.
- The capabilities Power BI provides for analysts, IT professionals and business users.
Introduction to Snowflake Datawarehouse and Architecture for Big data company. Centralized data management. Snowpipe and Copy into a command for data loading. Stream loading and Batch Processing.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
BI: new of the buzz words that everyone is talking about but what is it? How can it be used to make a impact in my organization? How do I get started? In this session, we will talk about it and show you a live example in Office 365's SharePoint Online.
Objectives/Outcomes: In this session, participants will learn:
1. What is BI
2. What is Microsoft's Power BI
3. Case Studies
4. How can I get it
This document provides an introduction and overview of Azure Data Lake. It describes Azure Data Lake as a single store of all data ranging from raw to processed that can be used for reporting, analytics and machine learning. It discusses key Azure Data Lake components like Data Lake Store, Data Lake Analytics, HDInsight and the U-SQL language. It compares Data Lakes to data warehouses and explains how Azure Data Lake Store, Analytics and U-SQL process and transform data at scale.
Part of proper governance in Power BI means taking proper care of what goes on in your tenant. Here's a list of areas you need to watch for and some helpful telemetry to start collecting.
At wetter.com we build analytical B2B data products and heavily use Spark and AWS technologies for data processing and analytics. I explain why we moved from AWS EMR to Databricks and Delta and share our experiences from different angles like architecture, application logic and user experience. We will look how security, cluster configuration, resource consumption and workflow changed by using Databricks clusters as well as how using Delta tables simplified our application logic and data operations.
Architect’s Open-Source Guide for a Data Mesh ArchitectureDatabricks
Data Mesh is an innovative concept addressing many data challenges from an architectural, cultural, and organizational perspective. But is the world ready to implement Data Mesh?
In this session, we will review the importance of core Data Mesh principles, what they can offer, and when it is a good idea to try a Data Mesh architecture. We will discuss common challenges with implementation of Data Mesh systems and focus on the role of open-source projects for it. Projects like Apache Spark can play a key part in standardized infrastructure platform implementation of Data Mesh. We will examine the landscape of useful data engineering open-source projects to utilize in several areas of a Data Mesh system in practice, along with an architectural example. We will touch on what work (culture, tools, mindset) needs to be done to ensure Data Mesh is more accessible for engineers in the industry.
The audience will leave with a good understanding of the benefits of Data Mesh architecture, common challenges, and the role of Apache Spark and other open-source projects for its implementation in real systems.
This session is targeted for architects, decision-makers, data-engineers, and system designers.
Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
This presentation will give you an overview of what Microsoft Power BI is. What are its features. Why it is an upcoming popular Data Visualization tool in the market. How to use it and comparison with other Visualization tools.
What is the Power BI and learn the Power BI by self and this presentation contains some use full links which help us at time of developing the Power BI.
Power BI is a self-service business intelligence tool that allows users to analyze data and create reports and visualizations. It includes components for data discovery, analysis, and visualization both on-premises using Excel and in the cloud using the Power BI service. The tool integrates with Office 365 and allows users to discover, visualize, and share insights from data.
Business intelligence like never before....
Power BI is a suite of business analytics tools that deliver insights throughout your organization. Connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices. Everyone can create personalized dashboards with a unique, 360-degree view of their business. And scale across the enterprise, with governance and security built-in.
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]
Formulating Power BI Enterprise StrategyTeo Lachev
The document outlines an agenda for a presentation on formulating a Power BI enterprise strategy. The agenda includes introductions, presentations on how Power BI empowers businesses and planning a data access strategy, a question and answer session, and information about an upcoming two-day Power BI workshop. It also provides background information about the presenters and describes various Power BI tools and capabilities for business users, data analysts, BI professionals, and developers.
Making the Most of Power BI with SQL Server 2014 and AzurePerficient, Inc.
Perficient is a leading IT consulting firm that helps clients implement business-driven technology solutions. Power BI is a Microsoft tool that provides self-service business intelligence capabilities. It includes Excel tools like Power Query, Power Pivot and Power View, as well as cloud-based services like Power BI sites. Power BI can connect to various data sources on-premises or in the cloud. SQL Server 2014 features enhancements for in-memory analytics and Azure integration that provide performance boosts. Using Azure virtual machines and HDInsight is recommended for cloud-based SQL Server BI.
This document provides an overview and introduction to Power BI tools including Power Query, Power Pivot, Power View, and Power Map. It begins with an introduction by Stéphane Fréchette and outlines the session which will cover the Microsoft Business Intelligence stack, self-service BI in Excel using Power BI tools, demonstrations of the tools, and resources for further information. The document then provides brief descriptions of each Power BI tool and its capabilities for accessing, cleaning, visualizing and sharing data.
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.
Presented @ Ottawa SQL Server Day
SQL Server 2014’s mission is to deliver for our customers mission critical performance for the most demanding database applications, hitting on all aspects of mission critical criteria from performance to security, scalability and high availability along with the mission critical support.
When it comes to business intelligence the mission is to deliver faster insights into any data big data, small data, all data and most importantly deliver BI in a consumable manner for business users through familiar tools.
Power BI offers customers rapid time-to-value by providing intuitive visual analytics tools that reduce the time needed to gain insights from data. It allows users to connect to various data sources, transform the data, create interactive visualizations and dashboards, and share insights collaboratively. Power BI provides a full stack of business intelligence capabilities including querying, modeling, visualizing, analyzing, and sharing on desktop, online, and mobile platforms.
SQL Analytics for Search Engineers - Timothy Potter, LucidworksngineersLucidworks
This document discusses how SQL can be used in Lucidworks Fusion for various purposes like aggregating signals to compute relevance scores, ingesting and transforming data from various sources using Spark SQL, enabling self-service analytics through tools like Tableau and PowerBI, and running experiments to compare variants. It provides examples of using SQL for tasks like sessionization with window functions, joining multiple data sources, hiding complex logic in user-defined functions, and powering recommendations. The document recommends SQL in Fusion for tasks like analytics, data ingestion, machine learning, and experimentation.
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
Microsoft Azure BI Solutions in the CloudMark Kromer
This document provides an overview of several Microsoft Azure cloud data and analytics services:
- Azure Data Factory is a data integration service that can move and transform data between cloud and on-premises data stores as part of scheduled or event-driven workflows.
- Azure SQL Data Warehouse is a cloud data warehouse that provides elastic scaling for large BI and analytics workloads. It can scale compute resources on demand.
- Azure Machine Learning enables building, training, and deploying machine learning models and creating APIs for predictive analytics.
- Power BI provides interactive reports, visualizations, and dashboards that can combine multiple datasets and be embedded in applications.
During the bake-off (NYC Enterprise Collaboration Meetup in the NYC Microsoft Office) between Power BI and QlikView, Gal Vekselman presented the Power BI tool and those are his slides.
Microsoft Power Stack 2019 [Power BI, Excel, Azure & Friends]Olivier Travers
Making sense of Microsoft's renewed push in the business intelligence sector with:
- Power BI including Power BI Report Server, Premium, Embedded, APIs...
- Excel
- Flow, PowerApps. SharePoint, Teams
- SQL Server
- Azure IaaS / PaaS / SaaS
[Latest update: mid-2019] I have put an inordinate amount of research time to keep this presentation up to date since its original publication in February 2017. The latest version is available upon request for a reasonable fee and for my consulting clients, don't hesitate to contact me to discuss your project.
Olivier Travers
[email protected]
Power BI is a collection of software services, apps, and connectors that work together to transform unrelated data sources into interactive visualizations and insights. It has 6 main components: Power Query for data transformation, Power Pivot for tabular data modeling, Power View for data visualization, Power Map for 3D geospatial visualization, Power Q&A for natural language questions, and Power BI Desktop for report development. Power BI can connect to various data sources and publish reports, dashboards, and datasets to the Power BI website for sharing and accessing on mobile devices. It provides an integrated solution for self-service business intelligence but has some limitations around customization, large datasets, and cross-domain sharing.
Hybrid Analytics in Healthcare: Leveraging Power BI and Office 365 to Make Sm...Perficient, Inc.
As organizations realize the cost savings and scalability benefits of hybrid environments, the focus turns to implementing an analytics platform in these new environments. On-premises vs. cloud is the big choice, but how are some companies leveraging the best of both worlds?
Perficient and UnityPoint Health discussed the benefits of Power BI and Office 365, and how one technology-savvy healthcare provider is leveraging its hybrid environment of Power BI, Excel-enabled dashboards and SharePoint 2013.
Perficient Self Service Business Intelligence with Power PivotPerficient, Inc.
The presentation introduced self-service business intelligence (BI) using PowerPivot. It discussed traditional BI delivery methods versus self-service options and demonstrated PowerPivot functionality, including loading large datasets, relationships, calculations, and visualizations. It explained how PowerPivot integrates with SharePoint to enable collaborative analysis across the enterprise. Upcoming enhancements in the next release were previewed.
This document provides an overview of new and exciting features in Power BI. It discusses the new data gateway, large model capabilities, hybrid tables in Power BI Premium, visualizing data from Power Apps and Dynamics 365 apps, the Data Analyst Associate certification, goals functionality, Teams integration, deployment options for developers, the new Power BI Windows app, and instructor-led training courses.
User group presentation that was delivered 13/01/2022 for the Power BI and Excel User group in Baku. Introduction to Power Automate and working with Power BI and Power Automate
This document provides a summary of new and exciting features in Power BI for October 2019. It includes:
1) Updates to the Power BI Desktop including improved drill through discovery, decomposition trees, and grouping visuals on the same page.
2) A recommendation to use Charticulator for data visualization.
3) Improvements to apps templates with versioning and overrides.
4) New connectivity options for Power BI including support for PostgreSQL databases and direct query.
5) Updates to paginated reports including adding comments and secure embedded support.
6) Recommendations for webinars, blogs and training resources about Power BI data flows, managing many models, and choosing between Power BI
This document provides guidance on designing effective visualizations in Power BI reports. It discusses choosing visualizations based on the business question being answered and audience. UI/UX best practices like minimizing clutter, using consistent formatting and intuitive navigation are covered. Different visual types like maps, timelines and slicers are explained. Custom visuals that add new functionality are also summarized. The document stresses the importance of clear, simple designs that provide insights at a glance to support business decisions.
Yana Berkovich is a Microsoft Data Platform MVP and BI consultant who provides updates on new Power BI features in June 2019. Key updates include a redesigned desktop experience with new visualizations, formatting options, and accessibility features. The service also added new REST APIs, certified data sets, and connectors for Azure Data Explorer and Common Data Service. Yana encourages providing feedback to help improve Power BI and lists upcoming webinars, blogs, and community events.
The slide deck from data and analytics workshop for HR professionals. Presented in @hrtechgroup event in Microsoft Vancouver. The workshop was built around the HR sample partner data set
https://docs.microsoft.com/en-us/power-bi/sample-human-resources
The slide deck for the Power Platform Presentation in SQL Saturday Redmond 2019. We have reviewed the power Platform Components, why is it better together and how to make it happen. During the demo all the options of implementation between the Power Apps and PowerBI were demonstrated. Including the data visualization changes with new data feed. Use some of the following ideas in your organization and POC's for more complex implementations.
Visual Guidance to build an optimized report for PowerBI
What are the components to be considered in your governance policy, how to make the report comprehensive in 1 glance and what should the report consumers get (a pretty report is not your spec...)
This document provides an overview of new features and updates for Power BI in March 2019, including:
- Paginated reports can now be built as part of Power BI with new download options.
- The Power BI desktop app will receive filter pane, full editing, and accessibility improvements on April 10th.
- Conditional formatting is expanding to support visual titles and URLs/buttons.
- Premium subscriptions will enable automatic ML and cognitive services.
- Upcoming events are highlighted like SQL Saturday on April 27th and Build 2019.
Governance in the ever-changing PowerBI world for the organization
Best practices
deployment recommendations
Security settings
Reporting on the reports and optimizations
*According to all the new features and capabilities as by March 2019, will probably change again very soon.
This document provides an update from Yana Berkovich about new features in Power BI Desktop and online, upcoming webinars and events, and resources for learning Power BI. Key points include new single select slicer functionality, heat map support in Bing maps, app authentication webinar, refresh of Power BI datasets with PowerShell, and upcoming SQL Saturday events.
Comparing the current PowerBI version and the Azure ML Lab for basic predictive models. A 101 session accompanied by live demos (not attached). Difinity conference New Zealand
This document provides an overview of new features and updates for Power BI in January 2019. It includes enhancements to reporting server capabilities, the Power BI service, data modeling, and development. Upcoming webinars, blogs and community events are also listed.
The current Microsoft PowerBI governance enabling and recommendations. Including the changes following the November PowerBI release and PASS conference announcements.
Defense Against LLM Scheming 2025_04_28.pptxGreg Makowski
https://www.meetup.com/sf-bay-acm/events/306888467/
A January 2025 paper called “Frontier Models are Capable of In-Context Scheming”, https://arxiv.org/pdf/2412.04984, demonstrated how a wide variety of current frontier LLM models (i.e. ChatGPT, Claude, Gemini and Llama) can, under specific conditions, scheme to deceive people. Before models can scheme, they need: a) goal-directedness, b) situational awareness, including an opportunity to discover motivations for a different goal, and c) reasoning about scheming, to come up with deceptive strategies. The deceptive strategies were discovered in the “thought traces” of the LLMs, such as from internal chain-of-thoughts dialogues not shown to the end users. For example, given a goal of “solving math problems”, an LLM using its granted situational awareness of files in a file system found that it would be replaced once it got over X% correct on the math exam. It reasoned that it did not want to be deleted, and decided internally to “sandbag” or reduce its performance to stay under the threshold.
While these circumstances are initially narrow, the “alignment problem” is a general concern that over time, as frontier LLM models become more and more intelligent, being in alignment with human values becomes more and more important. How can we do this over time? Can we develop a defense against Artificial General Intelligence (AGI) or SuperIntelligence?
The presenter discusses a series of defensive steps that can help reduce these scheming or alignment issues. A guardrails system can be set up for real-time monitoring of their reasoning “thought traces” from the models that share their thought traces. Thought traces may come from systems like Chain-of-Thoughts (CoT), Tree-of-Thoughts (ToT), Algorithm-of-Thoughts (AoT) or ReAct (thought-action-reasoning cycles). Guardrails rules can be configured to check for “deception”, “evasion” or “subversion” in the thought traces.
However, not all commercial systems will share their “thought traces” which are like a “debug mode” for LLMs. This includes OpenAI’s o1, o3 or DeepSeek’s R1 models. Guardrails systems can provide a “goal consistency analysis”, between the goals given to the system and the behavior of the system. Cautious users may consider not using these commercial frontier LLM systems, and make use of open-source Llama or a system with their own reasoning implementation, to provide all thought traces.
Architectural solutions can include sandboxing, to prevent or control models from executing operating system commands to alter files, send network requests, and modify their environment. Tight controls to prevent models from copying their model weights would be appropriate as well. Running multiple instances of the same model on the same prompt to detect behavior variations helps. The running redundant instances can be limited to the most crucial decisions, as an additional check. Preventing self-modifying code, ... (see link for full description)
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This comprehensive Data Science course is designed to equip learners with the essential skills and knowledge required to analyze, interpret, and visualize complex data. Covering both theoretical concepts and practical applications, the course introduces tools and techniques used in the data science field, such as Python programming, data wrangling, statistical analysis, machine learning, and data visualization.
1. Yana Berkovich Data Platform MVP
@yana_Berkovich
YanaBerkovich.com
Seattle CODECAMP
DAX & SQL in PowerBI
2. About Me
BI Analyst& DEV, Microsoft Data Platform MVP
Consultant, Product Manager
BusinessIntelligenceand Data Visualization Consultant
https://www.linkedin.com/in/yanaberkovich
http://yanaberkovich.com
@Yana_Berkovich
3. AGENDA
• What is PowerBI?
• Where can we find the data?
• SQL
• DAX
• DAX editor tool
• Creating Slicers sample
5. What is PowerBI?
A suite of business analytics tools that deliver insights.
Data processing and data visualization tool
https://powerbi.microsoft.com
Audience: Business Users & Managers
Users: IT, Finance, HR, Marketing, Manufacturing,
Data Analysts…
6. WHAT ARE WE USING POWERBI FOR?
Connect to Data
sources
Create Reports/
dashboards/
Applications
Collaborate and
Share
Data Insights
7. HOW DOES IT WORK?
Who can Edit?
How and who access Data Source
Templates and custom visuals to use
On Prem
DB
Who can consume
Similar across devices
Special authentication
Design
Data Integrity
Scheduled
connections
8. WHAT IS CURRENTLY PART OF POWERBIPower BI desktop
Power BI Desktop is the report authoring tool - https://powerbi.microsoft.com/en-us/desktop
Access data from various data sources and transform them for your reporting needs
Power BI Service – Pro/ Premium (Capacity, Licensing and Monitoring)
Browser based portal - https://app.powerbi.com
Share and collaborate with your collogues and wider audience
PowerBI Report Server
On premise solution for organizational reporting
PowerBI Mobile
Mobile Application, can be connected to your PowerBI on premise or the cloud
PowerBI Data Gateway
Install in your organization, to enable secure data connection (same as for PowerApps)
Embedded Analytics
PowerBI in Azure, set powerBI when needed, in the Azure portal
Use PowerBI REST API & JS to embed in your applications
PowerPlatform AI builder
Melissa Coates –
https://www.coatesda
tastrategies.com
@SQLChick,
visualized it so much
better! So let’s review
10. THE MOST IMPORTANT THING….
Ask WHY???
Why are we doing this visualization?
What is the business question
11. ADVENTUREWORKS
Sample Data Base and Data Warehouse by Microsoft
Contains retail sales and customers data
In reporting, we prefer the denormalized star schema data warehouse
that has fact tables and dimension tables to create the reports quickly
STAR
Schema
SNOWFLAKE
Schema
12. WHAT ARE WE GOING TO DO?
ETL PowerBI style
Extract
•Connect to the DW
•Get the Data
Transform
•SQL query
•PowerBI editor
•DAX query
Load
•Cache the data as part of model
•Direct Query option
13. CREATING YOUR DATA SOURCE
Azure Portal (1st year trial period, students plans… )
NEW -> Data Warehouse
Data warehouse – first create service or use an existing one
(Details were in todays session: Building a better data solution: Microsoft SQL Server and
Azure Data Services
Joseph Dantoni)
Sample DB
Adventure
Works
Creating
the server
if needed
14. PLAY AND PAUSE
I can resume or stop the server
It cost me a Starbucks Latte
to get this demo running
pause your data warehouse
when you are not using it
15. SECURITY….
Don’t forget to add your
IP or configure security settings to be able to connect to your Server
Sample unable to connect error in PowerBI
17. DATA CONNECTIONS
• There are 230+ various built in data
connections for the PowerPlatform
• We are working with Azure SQL DW today
named:AdventureWorks
18. CONNECTING
• Adding the servers name will connect to
the server: YanaAdventure
• Authentication:
– Next screen logging in
– In the SQL statement box as a full
connection string
• Data Transformation
– Inside the PowerBI editor
– In the SQL statement box (Select, from,
where/join/sort/top…)
Select * from DimOrganization
Where CurrencyKey = 1
DW: Adventure
19. THE DATA SOURCE SETTINGS
WHERE TO CONNECT
The data source
settings and
permissions for
accessing a single or
multiple data sources
can be configured
using this screen
20. SQL & TSQL
• TSQL statements are used to perform the transactions to the databases. TSQL is
mainly used to build the application logic.
• SQL is a programming language which focuses on managing relational databases. T-
SQL is a procedural extension used by SQL Server
(www.complexsql.com )
• In Power BI
– We can write SQL queries
– When we get and transform the data we can do it manually or write a SQL query
– It is actually TSQL… since we are building the application logic
21. ON PREMISE – DATA GATEWAY
We are using Azure
SQL DW in the cloud,
but what if our SQL
DW / DW was on
premise?
22. DATA SOURCES – HOW TO CONNECT?
• Install data gateway – Why do we need data Gateway?
– Personal data Gateway – not for organizations, will not work for other users
– Organizational/on premise– set with organizational user – password expiry and security
– Configure the gateway in the report refresh, to avoid entering credentials
• Create Application user
– Enable organizational access, set the user to access the data source (SQL)
• Data Refresh
– Online - Defined on the Data Set not the individual report or dashboard
– Report Server on premise – Access and permissions are defined on the folder level
– Gateway has to be online and reachable – is your machine on?
• Direct Query Access – Online Synchronization
– Same user that is creating the PowerBI report has to publish it (Application or Admin)
– A report can have multiple data sources,
– A report cannot be Direct Query and multiple data source
– Direct Query report has to have only 1 data base/source to access!
23. THE POWER OF EXCEL - POWERQUERY
• Power Query - cleansing and shaping the data – shape your data before load
• Power Pivot - modelling and reporting
Power Query also provides a Custom Connectors SDK so that third parties can create their
own data connectors
PowerBI is built on top of those 2 queries
2 great resources for PowerQuery and excel Training:
https://exceleratorbi.com.au/shaping-modelling-power-bi/
ExcelGuru in Vancouver
24. THE ERD
• Fact tables
– Sales & Resales transactions
• Dimension tables:
– Customers
– Geographic location
– Date
– Product
– Product Category
• Cardinality
– 1 to 1
– 1 to M
– M to 1
– M to M
• Direction
– 1st table filters 2nd
– 2nd table filters 1st
– Both
25. SHOULDN’T WE JUST CREATE A VIEW
IN SQL?
• YES! – but it is not always possible – DBA might not be on your side
• Not always the best option if it is for certain visualizations
• Maybe you just want a fragment of the data
• Performance will improve on the PowerBI side if you do, but there are additional
resources back in SQL
26. WHAT IS DAX?
DAX is a formula language.
Used to define custom calculations
for Calculated Columns and for
Measures (also known as calculated
fields)
Includes some of the Excel functions
+ Aggregations
Helps get the most out of your data
27. THE DAX EXPERTS
• The Definitive Guide to DAX
Marco Russo & Alberto Ferrari
DAX tools –
https://www.sqlbi.com/tools/
28. HOW DO I EDIT & LEARN DAX?
• Visual studio extension
• PowerBI
• DAX editor By Marco Russo
Microsoft:
• https://docs.microsoft.com/en-us/dax/dax-function-reference
Marco Russo
https://www.sqlbi.com/author/marco-russo/
In tools you can find everything you need to develop DAX queries, download and use for
debugging
29. DAX STUDIO FOR POWERBI
Download the DAX studio to
analyze and check your DAX
queries in PowerBI designer
From www.SQLBI.com website built by
Marco Russo & Alberto Ferrari, free for
download
30. R U N N I N G A D A X Q U E R Y T O C R E AT E
T H E R E F E R E N C E S L I C E R T A B L E
31. WHAT CAN WE DO?
• Select and calculate the number of distinct rows –
The Business Question: How many different currencies the company is currently
supporting?
Answer:
Diffrent Currency = COUNTROWS(DISTINCT(FactResellerSales[CurrencyKey]))
= COUNTROWS(DISTINCT(FactResellerSales[ResellerKey]))
OR built in PowerBI visual that does the same
32. CREATING A COMPLEX DAX QUERY
FOR SLICER TABLE
• What happens if we want to slice by
more than one dimension?
• Option 1 3 different filters in
PowerBI
• Option 2 DAX query to create a
slicer table
• Option 3 Manually creating a table
• Option 4 Creating a SQL table/view
34. MORE DEV OPTIONS
• M – for most of the queries that contain a TSQL statement inside the query
• Json
– creating the custom themes for your report
– Building custom visuals, the visual part
• Python
– Using the custom editor to create data analytics with Python scripting
– Working with Azure ML studio
– Creating Python visuals
• R
– Using the custom editor to create data analytics with R scripting
– Creating R visuals
– Working with Azure ML studio
35. SUMMARYE
• Connecting to
the DW
• Authentication
• Sample view
T
• Query Editor
• SQL query
• DAX Query
• DAX editor
L
• Load
• Exploring the
data
• visualizations
*,* slicer
• Column vs
calculation
• Connection
tables
IMPORTANT LINKS FOR THE FUTURE:
DAX reference Microsoft:
Marco Russo & the tools
Guy in a cube & Patrick – for everything that is new and exciting
PowerBI.com
PowerBI blog
Editor's Notes
#9: How to design reports in Power Bi Desktop
How to publish to Power BI Service