Full-Blown Native Analytics Everywhere You Use Couchbase
2 likes921 views
This document summarizes a presentation about SlamData, a tool for performing analytics directly on Couchbase databases without extracting, transforming, or loading (ETL) the data. The presentation includes a 10 minute context section, a 15 minute demo, and a 15 minute Q&A. Key points are that SlamData allows for direct analytics on JSON data, does not require schema, and embeds analytics within applications without latency. It can be used from any data source and compiles queries to be computed by Couchbase for real-time insights without moving data. The combination of Couchbase and SlamData is said to be greater than the sum of its parts.
1 of 22
Download to read offline
Recommended
MLconf NYC Josh Wills
MLconf NYC Josh WillsMLconf The document discusses two types of data scientists: those in "the lab" who focus on question-driven and interactive analytics on fixed data, and those in "the factory" who focus on metric-driven and automated analytics on fluid data. It then describes tools for each type, including Apache Spark and related tools for data science in the factory, and Cloudera Impala and related tools for investigative analytics in the lab. The speaker concludes by thanking the audience.
How companies-use-no sql-and-couchbase-10152013
How companies-use-no sql-and-couchbase-10152013Dipti Borkar This document discusses how companies use NoSQL and Couchbase databases. It provides examples of common use cases such as social gaming, mobile apps, ad targeting, session stores, user profile stores, caching, content/metadata stores, and 3rd party data aggregation. For each use case, it describes the type of data stored in Couchbase and why Couchbase's features like low latency, horizontal scalability, and availability make it suitable for applications with those characteristics. LivePerson and McGraw Hill Education are discussed as examples of companies using Couchbase for real-time visitor engagement and an interactive learning portal respectively.
Creative Data Analysis with Python
Creative Data Analysis with PythonGrant Paton-Simpson This document discusses creative data analysis using Python. It provides an overview of useful Python tools for data analysis and visualization including Matplotlib, NumPy, Pandas, and SQL Alchemy. It emphasizes extracting small insights from large data sets, presenting truth without deception, and making analysis flexible, readable, and understandable for audiences. Examples are provided for Matplotlib annotations, layered charts, shape placement, and SQL querying using dictionaries. The document encourages iteration and exploring what Python can do for flexible data analysis.
Maintainable Machine Learning Products
Maintainable Machine Learning ProductsAndrew Musselman Machine learning applications are typically stitched together from hopes and dreams, shell scripts, cron jobs, home-grown schedulers, snippets of configuration clipped from multiple blog posts, thousands of hard-coded business rules, a.k.a. "our SQL corpus," and a few lines of training and testing code. Organizing all the moving parts into something maintainable and supportive of ongoing development is a challenge most teams have on their TODO list, roadmap, or tech debt pile. Getting ahead of the day-to-day demands and settling into a sane architecture often seems like an unattainable goal. The past several years have seen an explosion of tool-building in the data engineering and analytics area, including in Apache projects spanning the areas of search and information retrieval, job orchestration, file and stream formats, and machine learning libraries. In this talk we will cover our product and development teams' choices of architecture and tools, from data ingestion and storage, through transformations and processing, to presentation of results and publishing to web services, reports, and applications.
Social media analytics using Azure Technologies
Social media analytics using Azure TechnologiesKoray Kocabas Social media are computer-mediated tools that allow people to create, share or exchange information, ideas, and pictures/videos in virtual communities and networks. To sum up Social Media is everything for your customers and Your company need to listen them to understand, make a custom offer or improve loyalty etc. Azure Stream Analytics and HDInsight platforms can solve this problem for you. We'll focus on how to get Twitter data using Stream Analytics and how to make data enrichment and storing using HDInsight and What is the problem about sentiment analytics using Azure Machine Learning.
Data analytics at a petabyte scale final
Data analytics at a petabyte scale finalOri Reshef Or Koren, Head of Data @ ironSource presents how re-designed it's big data analytics using Presto to analyze at petabyte scale,.
The Future of ETL Isn't What It Used to Be
The Future of ETL Isn't What It Used to Beconfluent Speaker: Gwen Shapira, Principal Data Architect, Confluent
Join Gwen Shapira, Apache Kafka® committer and co-author of ""Kafka: The Definitive Guide,"" as she presents core patterns of modern data engineering and explains how you can use microservices, event streams and a streaming platform like Apache Kafka to build scalable and reliable data pipelines designed to evolve over time.
This is part 1 of 3 in Streaming ETL - The New Data Integration series.
Watch the recording: https://videos.confluent.io/watch/q7roRtNZBnjiT9C3ii88fo?.
Warehousing Your Hits - The Why and How of Owning Your Data
Warehousing Your Hits - The Why and How of Owning Your DataScott Arbeitman These are the slides from my recent presentation at Melbourne' Web Analytics Wednesdays. I talk about transitioning from collecting your data in primary digital analytics systems to storing them in a data warehouse or data lake.
Design for X: Exploring Product Design with Apache Spark and GraphLab
Design for X: Exploring Product Design with Apache Spark and GraphLabAmanda Casari Ideas for designing data science products for: bots, knowledge gaps, IOT + fairness. Combining elements from Apache Spark and Turi's GraphLab products.
From SLO to GOTY
From SLO to GOTYScyllaDB Your users aren’t interested in your CPU utilization, and nobody is starting Reddit threads about how much disk space you have available. Questions like, “How long will I be in this queue?” or “How many disconnects is that today?” draw the wrong kind of attention. Instead of trying to guess which of your system metrics have the potential to cause an issue, your tools need to evolve from asking the same kinds of questions that your users are. An SLO, or Service Level Objective, lets you do this, resulting in fewer false alarms and surprises. The result? Happier users, happier teams, and a more productive organization.
Dev Dives: Unlock powerful data extraction with Semantic Activities
Dev Dives: Unlock powerful data extraction with Semantic ActivitiesUiPathCommunity Watch this Dev Dives session and learn how simple and flexible designing and filling forms really is. Our experts will walk you through key components such as DOM Extractor, Semantic Matching, and Semantic Execution.
This Dev Dives webinar explores the following key topics:
💡 Overview of Semantic Activities:
Fill Form, Set Value, and Extract Form Data: learn about these fundamental activities and how they streamline automation tasks.
💡 Detailed Activity Breakdown:
Fill Form: a quick dive into how this activity simplifies data entry automation.
Extract Form Data: understand the efficiency of extracting structured data from forms.
Set Value: learn about its versatility, supporting functions like "Type Into," "Check/Uncheck," and "Select Item," along with new features for date pickers and radio button groups.
💡 Comparison with Modern Activities
👨🏫👨💻 Speakers:
Bogdan Sultana, Sr. Product Manager @UiPath
Alexandru Petrescu, Senior Software Engineer @UiPath
⏩ Register for our upcoming Dev Dives November session:
Leverage AI with Autopilot™ for Everyone & UiPath Clipboard AI™
👉 EMEA&APJ: https://bit.ly/Dev_Dives_Nov_EMEA_APJ
👉 AMER: https://bit.ly/Dev_Dives_Nov_AMER
This session was streamed live on October 31, 2024, 15:00 GMT.
Check out all our upcoming Dev Dives 2024 sessions at:
🚩 https://bit.ly/Dev_Dives_2024
Open Data Inside - Why Internal Data Portals are Key to Successful Data Gover...
Open Data Inside - Why Internal Data Portals are Key to Successful Data Gover...Joel Natividad What is "Open Data" as a Verb?
"Opening data is the act of Contextualizing & Humanizing Data by adding High Quality, High Resolution Metadata to make it Useful, Usable & Used for Machines & Humans alike."
Prithvi Prabhu + Shivam Bansal, H2O.ai - Building Blocks for AI Applications ...
Prithvi Prabhu + Shivam Bansal, H2O.ai - Building Blocks for AI Applications ...Sri Ambati This session was recorded in NYC on October 22nd, 2019 and can be viewed here: https://www.youtube.com/watch?v=xAhQAYV5_PY&list=PLNtMya54qvOE3AvWRCNF2tybxNobUbAYp&index=3&t=2s
Bio: Prithvi is Chief of Technology, Applications at H2O.ai. Prithvi leads the design and development of “Q”, H2O.ai’s high scale exploratory data analysis and analytical application development platform.
Prithvi has been with H2O.ai since its early days and has been responsible for several products including Driverless AI (our flagship automatic machine learning platform), Steam (distributed cluster management, model management and deployment for H2O), H2O.js (Javascript transpiler for H2O’s distributed runtime), Play (on-demand cloud provisioning system for H2O), Flow (a hybrid GUI/REPL/Notebook for H2O) and Lightning (statistical graphics for H2O).
Bio: Shivam Bansal is a Data Scientist at H2O.ai and Kaggle Grandmaster in Kernels Section. He is the three times winner of Kaggle’s Data Science for Good Competition and winner of multiple other offline AI and Data Science competitions.
Shivam has extensive cross-industry and hands-on experience in building data science products. He has helped clients in the Insurance, Healthcare, Banking, and Retail domains to solve unstructured data science problems by building end to end pipelines and solutions.
Live Coding a KSQL Application
Live Coding a KSQL Applicationconfluent Join us as we build a complete streaming application with KSQL. There will be plenty of hands-on action, plus a description of our thought process and design choices along the way. Look out for advice on best practices and handy tips and tricks as we go. This is part 2 out of 3 in the Empowering Streams through KSQL series.
Running Business Analytics for a Serverless Insurance Company - Joe Emison & ...
Running Business Analytics for a Serverless Insurance Company - Joe Emison & ...Daniel Zivkovic Take a peek into the future of IT - beyond Serverless Software Development, when Serverless becomes a way to run Internal IT.
When ServerlessToronto.org invited Joe Emison - AWS Serverless Hero, we expected to see how he "knocked down the wall" between AWS & Google Clouds (to query Amazon DynamoDB from Google BigQuery) using the Fivetran ELT tool, but we learned so much more... and you will too: https://youtu.be/GK5Ivm6EOlI
Tools and Tips For Data Warehouse Developers (SQLSaturday Slovenia)
Tools and Tips For Data Warehouse Developers (SQLSaturday Slovenia)Cathrine Wilhelmsen Tools and Tips For Data Warehouse Developers (Presented at SQLSaturday Slovenia on December 9th 2017)
Splunk conf2014 - Dashboard Fun - Creating an Interactive Transaction Profiler
Splunk conf2014 - Dashboard Fun - Creating an Interactive Transaction ProfilerSplunk Using Simple XML and Splunk Enterprise, learn how to create easy interactive dashboards to explore data. This demo showcases great tools to put ion the hands of Splunk users, help desk users and IT Operations staff.
Rsqrd AI: How to Design a Reliable and Reproducible Pipeline
Rsqrd AI: How to Design a Reliable and Reproducible PipelineSanjana Chowdhury In this talk, David Aronchick, co-founder of Kubeflow and Microsoft's Head of Open Source ML, talks about designing reproducible and reliable ML pipelines. He speaks about the importance and impact of MLOps and use of metadata in pipelines. He also talks about a library he wrote to help with this problem, MLSpecLib.
**These slides are from a talk given at Rsqrd AI. Learn more at rsqrdai.org**
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...Codemotion Once you start working with Big Data systems, you discover a whole bunch of problems you won’t find in monolithic systems. Monitoring all of the components becomes a big data problem itself. In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system using tools like: Web Services,Spark,Cassandra,MongoDB,AWS. Not only the tools, what should you monitor about the actual data that flows in the system? We’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...Demi Ben-Ari Once you start working with distributed Big Data systems, you start discovering a whole bunch of problems you won’t find in monolithic systems.
All of a sudden to monitor all of the components becomes a big data problem itself.
In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system once you’re using tools like:
Web Services, Apache Spark, Cassandra, MongoDB, Amazon Web Services.
Not only the tools, what should you monitor about the actual data that flows in the system?
And we’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
Brochure data science learning path board-infinity (1)
Brochure data science learning path board-infinity (1)NirupamNishant2 Board Infinity is a best digital marketing and data science institute in mumbai, which is a full-stack career platform for students and jobseekers enabled by personalised learning paths,career coaches and access to various job oppurtunities. We provide online and offline training in Data Science, Digital Marketing, Full stack Web Development,Product management< machine learning and Atrificial Intelligence,Online career counselling and other career solutions
Bluegranite AA Webinar FINAL 28JUN16
Bluegranite AA Webinar FINAL 28JUN16Andy Lathrop This document provides an overview of Microsoft R and its capabilities for advanced analytics. It discusses how Microsoft R can enable businesses to analyze large volumes of data across multiple environments including locally, on Azure, and with SQL Server and HDInsight. The presentation includes a demonstration of R used with SQL Server, HDInsight, Azure Machine Learning, and Power BI. It highlights how Microsoft R provides a unified platform for data science and analytics that allows users to write code once and deploy models anywhere.
Oracle SQL Developer Tips and Tricks: Data Edition
Oracle SQL Developer Tips and Tricks: Data EditionJeff Smith Originally presented at Oracle Code One 2019, this is a collection of techniques dedicated to making your work with data easier and more enjoyable in Oracle Database with SQL Developer.
Meet Snowbot Your Friendly Snowflake SQL Chat Companion.pptx
Meet Snowbot Your Friendly Snowflake SQL Chat Companion.pptxQBrainX INC Meet Snowbot Your Friendly Snowflake SQL Chat Companion! Discover how Snowbot simplifies Snowflake SQL queries with seamless, intuitive interactions Boost productivity and streamline your database management with our innovative chat tool. To know more: https://www.qbrainx.com/blog/Meet-Snowbot:-Your-Friendly-Snowflake-SQL-Chat-Companion
Rapid Data Analytics @ Netflix
Rapid Data Analytics @ NetflixMonisha Kanoth At Netflix, we've spent a lot of time thinking about how we can make our analytics group move quickly. Netflix's Data Engineering & Analytics organization embraces the company's culture of "Freedom & Responsibility".
How does a company with a $40 billion market cap and $6 billion in annual revenue keep their data teams moving with the agility of a tiny company?
How do hundreds of data engineers and scientists make the best decisions for their projects independently, without the analytics environment devolving into chaos?
We'll talk about how Netflix equips its business intelligence and data engineers with:
the freedom to leverage cloud-based data tools - Spark, Presto, Redshift, Tableau and others - in ways that solve our most difficult data problems
the freedom to find and introduce right software for the job - even if it isn't used anywhere else in-house
the freedom to create and drop new tables in production without approval
the freedom to choose when a question is a one-off, and when a question is asked often enough to require a self-service tool
the freedom to retire analytics and data processes whose value doesn't justify their support costs
Rapid Data Analytics @ Netflix
Rapid Data Analytics @ NetflixData Con LA At Netflix, we've spent a lot of time thinking about how we can make our analytics group move quickly. Netflix's Data Engineering & Analytics organization embraces the company's culture of "Freedom & Responsibility".
How does a company with a $40 billion market cap and $6 billion in annual revenue keep their data teams moving with the agility of a tiny company?
How do hundreds of data engineers and scientists make the best decisions for their projects independently, without the analytics environment devolving into chaos?
We'll talk about how Netflix equips its business intelligence and data engineers with:
the freedom to leverage cloud-based data tools - Spark, Presto, Redshift, Tableau and others - in ways that solve our most difficult data problems
the freedom to find and introduce right software for the job - even if it isn't used anywhere else in-house
the freedom to create and drop new tables in production without approval
the freedom to choose when a question is a one-off, and when a question is asked often enough to require a self-service tool
the freedom to retire analytics and data processes whose value doesn't justify their support costs
Speaker Bios
Monisha Kanoth is a Senior Data Architect at Netflix, and was one of the founding members of the current streaming Content Analytics team. She previously worked as a big data lead at Convertro (acquired by AOL) and as a data warehouse lead at MySpace.
Jason Flittner is a Senior Business Intelligence Engineer at Netflix, focusing on data transformation, analysis, and visualization as part of the Content Data Engineering & Analytics team. He previously led the EC2 Business Intelligence team at Amazon Web Services and was a business intelligence engineer with Cisco.
Chris Stephens is a Senior Data Engineer at Netflix. He previously served as the CTO at Deep 6 Analytics, a machine learning & content analytics company in Los Angeles, and on the data warehouse teams at the FOX Audience Network and Anheuser-Busch.
Maximize Your Impact Top AI Tools Every Data Analyst Needs .pdf
Maximize Your Impact Top AI Tools Every Data Analyst Needs .pdfSeasiaInfotech2 Discover the top AI tools that every data analyst needs to maximize efficiency and drive impactful insights. Discover how these cutting-edge tools can enhance your data analysis, streamline processes, and help you make smarter, data-driven decisions. Read More
Belladati Meetup Singapore Workshop
Belladati Meetup Singapore Workshopbelladati The meetup agenda outlines presentations on using BellaDati's agile analytics and reporting tool. The morning sessions cover creating quick reports, collaboration features, and industry-specific app templates. The afternoon advanced analytics session with Peter Fedorocko highlights BellaDati's integrated data warehouse, ETL scripts, and capabilities for analyzing Twitter, MongoDB, and other data sources.
FL Studio Producer Edition Crack 2025 Full Version
FL Studio Producer Edition Crack 2025 Full Versiontahirabibi60507 Copy & Past Link 👉👉
http://drfiles.net/
FL Studio is a Digital Audio Workstation (DAW) software used for music production. It's developed by the Belgian company Image-Line. FL Studio allows users to create and edit music using a graphical user interface with a pattern-based music sequencer.
Adobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest Versionkashifyounis067 🌍📱👉COPY LINK & PASTE ON GOOGLE http://drfiles.net/ 👈🌍
Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
Here's a more detailed explanation:
Key Features and Capabilities:
Vector-Based Design:
Illustrator's foundation is its use of vector graphics, meaning designs are created using paths, lines, shapes, and curves defined mathematically.
Scalability:
This vector-based approach allows for designs to be resized without any loss of resolution or quality, making it suitable for various print and digital applications.
Design Creation:
Illustrator is used for a wide variety of design purposes, including:
Logos and Brand Identity: Creating logos, icons, and other brand assets.
Illustrations: Designing detailed illustrations for books, magazines, web pages, and more.
Marketing Materials: Creating posters, flyers, banners, and other marketing visuals.
Web Design: Designing web graphics, including icons, buttons, and layouts.
Text Handling:
Illustrator offers sophisticated typography tools for manipulating and designing text within your graphics.
Brushes and Effects:
It provides a range of brushes and effects for adding artistic touches and visual styles to your designs.
Integration with Other Adobe Software:
Illustrator integrates seamlessly with other Adobe Creative Cloud apps like Photoshop, InDesign, and Dreamweaver, facilitating a smooth workflow.
Why Use Illustrator?
Professional-Grade Features:
Illustrator offers a comprehensive set of tools and features for professional design work.
Versatility:
It can be used for a wide range of design tasks and applications, making it a versatile tool for designers.
Industry Standard:
Illustrator is a widely used and recognized software in the graphic design industry.
Creative Freedom:
It empowers designers to create detailed, high-quality graphics with a high degree of control and precision.
More Related Content
Similar to Full-Blown Native Analytics Everywhere You Use Couchbase (20)
Design for X: Exploring Product Design with Apache Spark and GraphLab
Design for X: Exploring Product Design with Apache Spark and GraphLabAmanda Casari Ideas for designing data science products for: bots, knowledge gaps, IOT + fairness. Combining elements from Apache Spark and Turi's GraphLab products.
From SLO to GOTY
From SLO to GOTYScyllaDB Your users aren’t interested in your CPU utilization, and nobody is starting Reddit threads about how much disk space you have available. Questions like, “How long will I be in this queue?” or “How many disconnects is that today?” draw the wrong kind of attention. Instead of trying to guess which of your system metrics have the potential to cause an issue, your tools need to evolve from asking the same kinds of questions that your users are. An SLO, or Service Level Objective, lets you do this, resulting in fewer false alarms and surprises. The result? Happier users, happier teams, and a more productive organization.
Dev Dives: Unlock powerful data extraction with Semantic Activities
Dev Dives: Unlock powerful data extraction with Semantic ActivitiesUiPathCommunity Watch this Dev Dives session and learn how simple and flexible designing and filling forms really is. Our experts will walk you through key components such as DOM Extractor, Semantic Matching, and Semantic Execution.
This Dev Dives webinar explores the following key topics:
💡 Overview of Semantic Activities:
Fill Form, Set Value, and Extract Form Data: learn about these fundamental activities and how they streamline automation tasks.
💡 Detailed Activity Breakdown:
Fill Form: a quick dive into how this activity simplifies data entry automation.
Extract Form Data: understand the efficiency of extracting structured data from forms.
Set Value: learn about its versatility, supporting functions like "Type Into," "Check/Uncheck," and "Select Item," along with new features for date pickers and radio button groups.
💡 Comparison with Modern Activities
👨🏫👨💻 Speakers:
Bogdan Sultana, Sr. Product Manager @UiPath
Alexandru Petrescu, Senior Software Engineer @UiPath
⏩ Register for our upcoming Dev Dives November session:
Leverage AI with Autopilot™ for Everyone & UiPath Clipboard AI™
👉 EMEA&APJ: https://bit.ly/Dev_Dives_Nov_EMEA_APJ
👉 AMER: https://bit.ly/Dev_Dives_Nov_AMER
This session was streamed live on October 31, 2024, 15:00 GMT.
Check out all our upcoming Dev Dives 2024 sessions at:
🚩 https://bit.ly/Dev_Dives_2024
Open Data Inside - Why Internal Data Portals are Key to Successful Data Gover...
Open Data Inside - Why Internal Data Portals are Key to Successful Data Gover...Joel Natividad What is "Open Data" as a Verb?
"Opening data is the act of Contextualizing & Humanizing Data by adding High Quality, High Resolution Metadata to make it Useful, Usable & Used for Machines & Humans alike."
Prithvi Prabhu + Shivam Bansal, H2O.ai - Building Blocks for AI Applications ...
Prithvi Prabhu + Shivam Bansal, H2O.ai - Building Blocks for AI Applications ...Sri Ambati This session was recorded in NYC on October 22nd, 2019 and can be viewed here: https://www.youtube.com/watch?v=xAhQAYV5_PY&list=PLNtMya54qvOE3AvWRCNF2tybxNobUbAYp&index=3&t=2s
Bio: Prithvi is Chief of Technology, Applications at H2O.ai. Prithvi leads the design and development of “Q”, H2O.ai’s high scale exploratory data analysis and analytical application development platform.
Prithvi has been with H2O.ai since its early days and has been responsible for several products including Driverless AI (our flagship automatic machine learning platform), Steam (distributed cluster management, model management and deployment for H2O), H2O.js (Javascript transpiler for H2O’s distributed runtime), Play (on-demand cloud provisioning system for H2O), Flow (a hybrid GUI/REPL/Notebook for H2O) and Lightning (statistical graphics for H2O).
Bio: Shivam Bansal is a Data Scientist at H2O.ai and Kaggle Grandmaster in Kernels Section. He is the three times winner of Kaggle’s Data Science for Good Competition and winner of multiple other offline AI and Data Science competitions.
Shivam has extensive cross-industry and hands-on experience in building data science products. He has helped clients in the Insurance, Healthcare, Banking, and Retail domains to solve unstructured data science problems by building end to end pipelines and solutions.
Live Coding a KSQL Application
Live Coding a KSQL Applicationconfluent Join us as we build a complete streaming application with KSQL. There will be plenty of hands-on action, plus a description of our thought process and design choices along the way. Look out for advice on best practices and handy tips and tricks as we go. This is part 2 out of 3 in the Empowering Streams through KSQL series.
Running Business Analytics for a Serverless Insurance Company - Joe Emison & ...
Running Business Analytics for a Serverless Insurance Company - Joe Emison & ...Daniel Zivkovic Take a peek into the future of IT - beyond Serverless Software Development, when Serverless becomes a way to run Internal IT.
When ServerlessToronto.org invited Joe Emison - AWS Serverless Hero, we expected to see how he "knocked down the wall" between AWS & Google Clouds (to query Amazon DynamoDB from Google BigQuery) using the Fivetran ELT tool, but we learned so much more... and you will too: https://youtu.be/GK5Ivm6EOlI
Tools and Tips For Data Warehouse Developers (SQLSaturday Slovenia)
Tools and Tips For Data Warehouse Developers (SQLSaturday Slovenia)Cathrine Wilhelmsen Tools and Tips For Data Warehouse Developers (Presented at SQLSaturday Slovenia on December 9th 2017)
Splunk conf2014 - Dashboard Fun - Creating an Interactive Transaction Profiler
Splunk conf2014 - Dashboard Fun - Creating an Interactive Transaction ProfilerSplunk Using Simple XML and Splunk Enterprise, learn how to create easy interactive dashboards to explore data. This demo showcases great tools to put ion the hands of Splunk users, help desk users and IT Operations staff.
Rsqrd AI: How to Design a Reliable and Reproducible Pipeline
Rsqrd AI: How to Design a Reliable and Reproducible PipelineSanjana Chowdhury In this talk, David Aronchick, co-founder of Kubeflow and Microsoft's Head of Open Source ML, talks about designing reproducible and reliable ML pipelines. He speaks about the importance and impact of MLOps and use of metadata in pipelines. He also talks about a library he wrote to help with this problem, MLSpecLib.
**These slides are from a talk given at Rsqrd AI. Learn more at rsqrdai.org**
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...Codemotion Once you start working with Big Data systems, you discover a whole bunch of problems you won’t find in monolithic systems. Monitoring all of the components becomes a big data problem itself. In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system using tools like: Web Services,Spark,Cassandra,MongoDB,AWS. Not only the tools, what should you monitor about the actual data that flows in the system? We’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...Demi Ben-Ari Once you start working with distributed Big Data systems, you start discovering a whole bunch of problems you won’t find in monolithic systems.
All of a sudden to monitor all of the components becomes a big data problem itself.
In the talk we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system once you’re using tools like:
Web Services, Apache Spark, Cassandra, MongoDB, Amazon Web Services.
Not only the tools, what should you monitor about the actual data that flows in the system?
And we’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
Brochure data science learning path board-infinity (1)
Brochure data science learning path board-infinity (1)NirupamNishant2 Board Infinity is a best digital marketing and data science institute in mumbai, which is a full-stack career platform for students and jobseekers enabled by personalised learning paths,career coaches and access to various job oppurtunities. We provide online and offline training in Data Science, Digital Marketing, Full stack Web Development,Product management< machine learning and Atrificial Intelligence,Online career counselling and other career solutions
Bluegranite AA Webinar FINAL 28JUN16
Bluegranite AA Webinar FINAL 28JUN16Andy Lathrop This document provides an overview of Microsoft R and its capabilities for advanced analytics. It discusses how Microsoft R can enable businesses to analyze large volumes of data across multiple environments including locally, on Azure, and with SQL Server and HDInsight. The presentation includes a demonstration of R used with SQL Server, HDInsight, Azure Machine Learning, and Power BI. It highlights how Microsoft R provides a unified platform for data science and analytics that allows users to write code once and deploy models anywhere.
Oracle SQL Developer Tips and Tricks: Data Edition
Oracle SQL Developer Tips and Tricks: Data EditionJeff Smith Originally presented at Oracle Code One 2019, this is a collection of techniques dedicated to making your work with data easier and more enjoyable in Oracle Database with SQL Developer.
Meet Snowbot Your Friendly Snowflake SQL Chat Companion.pptx
Meet Snowbot Your Friendly Snowflake SQL Chat Companion.pptxQBrainX INC Meet Snowbot Your Friendly Snowflake SQL Chat Companion! Discover how Snowbot simplifies Snowflake SQL queries with seamless, intuitive interactions Boost productivity and streamline your database management with our innovative chat tool. To know more: https://www.qbrainx.com/blog/Meet-Snowbot:-Your-Friendly-Snowflake-SQL-Chat-Companion
Rapid Data Analytics @ Netflix
Rapid Data Analytics @ NetflixMonisha Kanoth At Netflix, we've spent a lot of time thinking about how we can make our analytics group move quickly. Netflix's Data Engineering & Analytics organization embraces the company's culture of "Freedom & Responsibility".
How does a company with a $40 billion market cap and $6 billion in annual revenue keep their data teams moving with the agility of a tiny company?
How do hundreds of data engineers and scientists make the best decisions for their projects independently, without the analytics environment devolving into chaos?
We'll talk about how Netflix equips its business intelligence and data engineers with:
the freedom to leverage cloud-based data tools - Spark, Presto, Redshift, Tableau and others - in ways that solve our most difficult data problems
the freedom to find and introduce right software for the job - even if it isn't used anywhere else in-house
the freedom to create and drop new tables in production without approval
the freedom to choose when a question is a one-off, and when a question is asked often enough to require a self-service tool
the freedom to retire analytics and data processes whose value doesn't justify their support costs
Rapid Data Analytics @ Netflix
Rapid Data Analytics @ NetflixData Con LA At Netflix, we've spent a lot of time thinking about how we can make our analytics group move quickly. Netflix's Data Engineering & Analytics organization embraces the company's culture of "Freedom & Responsibility".
How does a company with a $40 billion market cap and $6 billion in annual revenue keep their data teams moving with the agility of a tiny company?
How do hundreds of data engineers and scientists make the best decisions for their projects independently, without the analytics environment devolving into chaos?
We'll talk about how Netflix equips its business intelligence and data engineers with:
the freedom to leverage cloud-based data tools - Spark, Presto, Redshift, Tableau and others - in ways that solve our most difficult data problems
the freedom to find and introduce right software for the job - even if it isn't used anywhere else in-house
the freedom to create and drop new tables in production without approval
the freedom to choose when a question is a one-off, and when a question is asked often enough to require a self-service tool
the freedom to retire analytics and data processes whose value doesn't justify their support costs
Speaker Bios
Monisha Kanoth is a Senior Data Architect at Netflix, and was one of the founding members of the current streaming Content Analytics team. She previously worked as a big data lead at Convertro (acquired by AOL) and as a data warehouse lead at MySpace.
Jason Flittner is a Senior Business Intelligence Engineer at Netflix, focusing on data transformation, analysis, and visualization as part of the Content Data Engineering & Analytics team. He previously led the EC2 Business Intelligence team at Amazon Web Services and was a business intelligence engineer with Cisco.
Chris Stephens is a Senior Data Engineer at Netflix. He previously served as the CTO at Deep 6 Analytics, a machine learning & content analytics company in Los Angeles, and on the data warehouse teams at the FOX Audience Network and Anheuser-Busch.
Maximize Your Impact Top AI Tools Every Data Analyst Needs .pdf
Maximize Your Impact Top AI Tools Every Data Analyst Needs .pdfSeasiaInfotech2 Discover the top AI tools that every data analyst needs to maximize efficiency and drive impactful insights. Discover how these cutting-edge tools can enhance your data analysis, streamline processes, and help you make smarter, data-driven decisions. Read More
Belladati Meetup Singapore Workshop
Belladati Meetup Singapore Workshopbelladati The meetup agenda outlines presentations on using BellaDati's agile analytics and reporting tool. The morning sessions cover creating quick reports, collaboration features, and industry-specific app templates. The afternoon advanced analytics session with Peter Fedorocko highlights BellaDati's integrated data warehouse, ETL scripts, and capabilities for analyzing Twitter, MongoDB, and other data sources.
Recently uploaded (20)
FL Studio Producer Edition Crack 2025 Full Version
FL Studio Producer Edition Crack 2025 Full Versiontahirabibi60507 Copy & Past Link 👉👉
http://drfiles.net/
FL Studio is a Digital Audio Workstation (DAW) software used for music production. It's developed by the Belgian company Image-Line. FL Studio allows users to create and edit music using a graphical user interface with a pattern-based music sequencer.
Adobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest Versionkashifyounis067 🌍📱👉COPY LINK & PASTE ON GOOGLE http://drfiles.net/ 👈🌍
Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
Here's a more detailed explanation:
Key Features and Capabilities:
Vector-Based Design:
Illustrator's foundation is its use of vector graphics, meaning designs are created using paths, lines, shapes, and curves defined mathematically.
Scalability:
This vector-based approach allows for designs to be resized without any loss of resolution or quality, making it suitable for various print and digital applications.
Design Creation:
Illustrator is used for a wide variety of design purposes, including:
Logos and Brand Identity: Creating logos, icons, and other brand assets.
Illustrations: Designing detailed illustrations for books, magazines, web pages, and more.
Marketing Materials: Creating posters, flyers, banners, and other marketing visuals.
Web Design: Designing web graphics, including icons, buttons, and layouts.
Text Handling:
Illustrator offers sophisticated typography tools for manipulating and designing text within your graphics.
Brushes and Effects:
It provides a range of brushes and effects for adding artistic touches and visual styles to your designs.
Integration with Other Adobe Software:
Illustrator integrates seamlessly with other Adobe Creative Cloud apps like Photoshop, InDesign, and Dreamweaver, facilitating a smooth workflow.
Why Use Illustrator?
Professional-Grade Features:
Illustrator offers a comprehensive set of tools and features for professional design work.
Versatility:
It can be used for a wide range of design tasks and applications, making it a versatile tool for designers.
Industry Standard:
Illustrator is a widely used and recognized software in the graphic design industry.
Creative Freedom:
It empowers designers to create detailed, high-quality graphics with a high degree of control and precision.
Get & Download Wondershare Filmora Crack Latest [2025]![Get & Download Wondershare Filmora Crack Latest [2025]](https://cdn.slidesharecdn.com/ss_thumbnails/revolutionizingresidentialwi-fi-250422112639-60fb726f-250429170801-59e1b240-thumbnail.jpg?width=560&fit=bounds)
Get & Download Wondershare Filmora Crack Latest [2025]saniaaftab72555 Copy & Past Link 👉👉
https://dr-up-community.info/
Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
PDF Reader Pro Crack Latest Version FREE Download 2025
PDF Reader Pro Crack Latest Version FREE Download 2025mu394968 🌍📱👉COPY LINK & PASTE ON GOOGLE https://dr-kain-geera.info/👈🌍
PDF Reader Pro is a software application, often referred to as an AI-powered PDF editor and converter, designed for viewing, editing, annotating, and managing PDF files. It supports various PDF functionalities like merging, splitting, converting, and protecting PDFs. Additionally, it can handle tasks such as creating fillable forms, adding digital signatures, and performing optical character recognition (OCR).
Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
Talk from SciFiDevCon 2025
https://www.scifidevcon.com/courses/2025-scifidevcon/contents/680efa43ae4f5
Expand your AI adoption with AgentExchange
Expand your AI adoption with AgentExchangeFexle Services Pvt. Ltd. AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
Email: [email protected]
Phone: +1(630) 349 2411
Website: https://www.fexle.com/blogs/agentexchange-an-ultimate-guide-for-salesforce-consultants-businesses/?utm_source=slideshare&utm_medium=pptNg
Revolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptxnidhisingh691197 Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
Top 10 Client Portal Software Solutions for 2025.docx
Top 10 Client Portal Software Solutions for 2025.docxPortli Discover the top 10 client portal software solutions for 2025. Streamline communication, ensure security, and enhance client experience.
Secure Test Infrastructure: The Backbone of Trustworthy Software Development
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
Kubernetes_101_Zero_to_Platform_Engineer.pptx
Kubernetes_101_Zero_to_Platform_Engineer.pptxCloudScouts Presentacion de la primera sesion de Zero to Platform Engineer
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...University of Hawai‘i at Mānoa This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
Solidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license codeaneelaramzan63 Copy & Paste On Google >>> https://dr-up-community.info/
The two main methods for installing standalone licenses of SOLIDWORKS are clean installation and parallel installation (the process is different ...
Disable your internet connection to prevent the software from performing online checks during installation
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdf
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
How to Optimize Your AWS Environment for Improved Cloud Performance
How to Optimize Your AWS Environment for Improved Cloud PerformanceThousandEyes How to Optimize Your AWS Environment for Improved Cloud Performance
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AI
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
Meet the Agents: How AI Is Learning to Think, Plan, and Collaborate
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
Why Orangescrum Is a Game Changer for Construction Companies in 2025
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.Dele Amefo Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...University of Hawai‘i at Mānoa
Full-Blown Native Analytics Everywhere You Use Couchbase
- 1. Full-Blown Native Analytics Everywhere You Use Couchbase
- 2. 10 minutes of context 15 minutes of demo time! 15 minutes of Q&A
- 3. SlamData 101 Direct analytics on modern data ● JSON ● Who needs schema? ● No ETL! ● No mapping. None.
- 4. SlamData 101 Software Download us, put us anywhere you want
- 5. SlamData 101: Lingua Franca More coming! RDBMS, APIs, Any data source
- 6. SlamData 101 We Compile, Couchbase Computes
- 7. Don’t send the data to the analytics. Send the analytics to the data. SlamData 101
- 8. Data scientists, according to interviews and expert estimates, spend from 50 percent to 80 percent of their time mired in this more mundane labor of collecting and preparing unruly digital data, before it can be explored for useful nuggets.
- 9. Computation Compiler “Ask A Question” Interface N1QL (or SQL++) Visualize 2 1 4 6 3 SlamData 101: How It Happens Return results 5
- 10. Explore Drag and drop charts Leverage SQL Visualize your insight Share your insight Embed SlamData 101: In Practice
- 11. SlamData 101: In Action
- 12. The Benefits ● Full blown BI (out of the box) ● No latency ● Embeddable ● Scalable ● White label ● Open source ● Multi-tenant ● Authentication ● Authorization ● Auditing
- 13. The Context
- 15. Customers & End Users Developers Analysts Architects Executives So It’s Not Just Developers Anymore These folks want (and will benefit from) fresh insight from Couchbase!
- 16. Dump > Clean > Map > Redo Custom Don’t Settle!
- 17. Don’t Settle x 2: The World Went JSON, But Guess Who Didn’t Come Along?
- 18. Roadmap/Vision
- 20. The SlamData Thesis Couchbase + SlamData 1 + 1 > 2
- 21. Demo