Delta Lake / Simon & Denny Ask Us Anything

Join us for the monthly series "Simon and Denny - Ask Us Anything!" where we will answer your data engineering questions from building a data platform to ingestion to ETL to analytics. With our background in SQL Server and BI to Apache Spark and Delta Lake - we want to show you how to build your own lakehouse.

As this session is interactive, come prepared to ask questions all throughout the session! Be prepared for another geeky, trans-Atlantic event from two data nerds.

Learn more about Delta Lake: https://delta.io/
Join us on Slack: https://go.delta.io/slack
Denny Lee: https://www.linkedin.com/in/dennyglee/
Simon Whiteley: https://www.linkedin.com/in/simon-whiteley-uk/
Delta Lake Releases: https://github.com/delta-io/delta/releases

Join us for the monthly series "Simon and Denny - Ask Us Anything!" on Tuesday, November 15, 2022 where we will answer your data engineering questions from building a data platform to ingestion to ETL to analytics. With our background in SQL Server and BI to Apache Spark and Delta Lake - we want to show you how to build your own lakehouse.

As this session is interactive, come prepared to ask questions all throughout the session! Be prepared for another geeky, trans-Atlantic event from two data nerds.

Learn more about Delta Lake
Read Our Newest Blog Post: https://delta.io/blog
Join us on Slack: https://go.delta.io/slack
Delta Lake Releases: https://github.com/delta-io/delta/releases

For this session, let’s talk about Data Mesh! Simon’s been getting a lot of questions from his recent video post “Behind the Hype: Why Data Mesh is not right for you.” Do you want to ask questions to these two data nerds around the fundamentals behind the hype? Well, wait no more! Come with your questions, we (hopefully) will have answers!

Quick links:
https://delta.io/
https://go.delta.io/slack
https://github.com/delta-io/delta/releases
https://groups.google.com/g/delta-users

Join us for the brand new monthly series "Simon and Denny - Ask Us Anything!" where Simon Whiteley and Denny Lee will answer your data engineering questions from building a data platform to ingestion to ETL to analytics. With their background in SQL Server and BI to Apache Spark and Delta Lake - they want to show you how to build your own lakehouse.

As this session is interactive, come prepared to ask questions all throughout the session! Be prepared for another geeky, trans-Atlantic event from two data nerds.

Quick links:
https://delta.io/
https://go.delta.io/slack
https://groups.google.com/g/delta-users
https://go.delta.io/github

Simon and Denny Build A Thing is a live webshow, where Simon Whiteley (Advancing Analytics) and Denny Lee (Databricks) are building out a TV Ratings Analytics tool, working through the various challenges of building out a Data Lakehouse using Databricks. In this session, they'll be talking through their Lakehouse Platform, revisiting various pieces of functionality, and answering your questions, Live!

This is your chance to ask questions around structuring a lake for enterprise data analytics, the various ways we can use Delta Live Tables to simplify ETL or how to get started serving out data using Databricks SQL. We have a whole load of things to talk through, but we want to hear YOUR questions, which we can field from industry experience, community engagement and internal Databricks direction. There's also a chance we'll get distracted and talk about the Expanse for far too long.

Connect with us:
Website: https://databricks.com
Facebook: https://www.facebook.com/databricksinc
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/data...
Instagram: https://www.instagram.com/databricksinc/

Join us for the brand new tech talk series "Simon and Denny - Build A Thing!" where across a series of tech talks, we will build a data platform from ingestion to ETL to analytics and data science using the Azure Databricks platform. With our background in SQL Server and BI to Apache Spark and Delta Lake - we want to show you how to build your own lakehouse.

We would like this session to be interactive so come prepared to ask questions all throughout the session. For part two, based on your feedback, we will focus on schema drift and data quality. Our conversations together will also guide what we will discuss in the next session! Be prepared for another geeky, trans-Atlantic event from two data nerds.

Link to Part One Recording: https://youtu.be/EYUPZ73bVsA

Github link: https://github.com/databricks/tech-talks/tree/master/courses/build-a-thing

Speakers:

Simon Whiteley - Microsoft Data Platform MVP, Databricks Nerd, Cloud Herder, one of those “London People”. Simon runs Advancing Analytics, a UK data consultancy as their Director of Engineering, hosts the Advancing Spark youtube channel and organises the Microsoft Data London meetup. He spends most of his time working with companies to apply "big data" thinking to traditional analytics problems, whether through cloud architecture, spark development or Azure wrangling. When not tinkering with tech, Simon is a death-dodging London cyclist, a sampler of craft beers, an avid foodie and a lover of all things nerdy.

Denny Lee is a developer advocate at Databricks, where he works on Delta Lake, Apache Spark, Data Sciences, and Healthcare Life Sciences. He has previously built enterprise DW/BI and big data systems at Microsoft including Azure Cosmos DB, Project Isotope (HDInsight), and SQL Server as well as the Senior Director of Data Sciences Engineering at SAP Concur. Denny holds a Masters in Biomedical Informatics from Oregon Health Sciences University. Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner

Join us for the brand new tech talk series "Simon and Denny - Build A Thing!" where across a series of tech talks, we will build a data platform from ingestion to ETL to analytics and data science using the Azure Databricks platform. With our background in SQL Server and BI to Apache Spark and Delta Lake - we want to show you how to build your own lakehouse.

We would like this session to be interactive so come prepared to ask questions all throughout the session - the very first one will focus on the ingestion of data. Our conversations together will also guide what we will discuss in the next session! Be prepared for another geeky, trans-Atlantic event from two data nerds.

Github link: https://github.com/databricks/tech-talks/tree/master/courses/build-a-thing

Speakers:

Simon Whiteley - Microsoft Data Platform MVP, Databricks Nerd, Cloud Herder, one of those “London People”. Simon runs Advancing Analytics, a UK data consultancy as their Director of Engineering, hosts the Advancing Spark youtube channel and organises the Microsoft Data London meetup. He spends most of his time working with companies to apply "big data" thinking to traditional analytics problems, whether through cloud architecture, spark development or Azure wrangling. When not tinkering with tech, Simon is a death-dodging London cyclist, a sampler of craft beers, an avid foodie and a lover of all things nerdy.

Denny Lee is a developer advocate at Databricks, where he works on Delta Lake, Apache Spark, Data Sciences, and Healthcare Life Sciences. He has previously built enterprise DW/BI and big data systems at Microsoft including Azure Cosmos DB, Project Isotope (HDInsight), and SQL Server as well as the Senior Director of Data Sciences Engineering at SAP Concur. Denny holds a Masters in Biomedical Informatics from Oregon Health Sciences University. Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner

Considering shifting gears into Spark Data Engineering? We have another fun session with Simon Whiteley (@mrsiwhiteley) and Denny Lee (@dennylee) as they answer your questions from their last two tech talks and continue to chat through their meandering journeys from SQL Server & BI to Apache Spark, Delta Lake, and the emerging Data Lakehouse approach. Be prepared for another geeky, trans-Atlantic event from two data nerds.

Link to watch round 1: SQL Server and BI to Delta Lake and Lakehouses: https://youtu.be/ls7-LKwKFYA

Link to watch round 2: Electric Boogaloo: https://youtu.be/OoQ21kQoJ84 Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner

Considering shifting gears into Spark Data Engineering, BI, and Lakehouses? Join this fun session with Simon Whiteley (@mrsiwhiteley) and Denny Lee (@dennylee) as we CONTINUE to chat through their meandering journeys from SQL Server & BI to Apache Spark, Delta Lake and the emerging Data Lakehouse approach. Be prepared for a geeky, trans-Atlantic event from two data nerds....this time we'll actually answer your questions.

Link to watch round 1: https://youtu.be/ls7-LKwKFYA Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner

Considering shifting gears into Spark Data Engineering? Join this fun session with Simon Whiteley (@mrsiwhiteley) and Denny Lee (@dennylee) as they chat through their meandering journeys from SQL Server & BI to Apache Spark, Delta Lake, and the emerging Data Lakehouse approach. Be prepared for a geeky, trans-Atlantic event from two data nerds. Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner