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In this session, we will explore real world DAX and Model performance scenario's. These scenarios range from memory pressure to high CPU load. Watch as we will dive into the model and improve performance by going through concrete examples.
SQL Server 2019 includes new query processing features such as batch mode on rowstore, memory grant feedback, approximate query processing, and more. How do these work? Are they as good as Microsoft wants us to believe?
The session will uncover the In-Memory OLTP architecture, the concerns about data durability and database startup and recovery as well as some important consideration on Management of in-memory objects.
This session will cover how to work around hardware issues when it isn’t in the budget for newer, faster, stronger, better hardware. Learn tips and tricks on how to reduce IO,relieve memory pressure, and reduce blocking.
The in-memory OLTP engine has been around since version 2014 of the database engine, do you need to be a SaaS provider processing billions of transactions a day to use this ?, the short answer is absolutely not and this session will show you why.
Azure DataBricks is a PaaS offering of Apache Spark, which allows for blazing fast data processing! How can data engineers harness the in-memory processing power? Azure DataBricks can be your data ingestion, transformation and curation tool of choice
Deep Neural Networks, Long Short Term Memory Models, Data Science, AI, Fun for all the family. Using SQLBits data to write new sessions. Deep technincal but light and fun.
No pictures of phone books, here. We're gonna look at the way indexes change query behavior for better... and worse.
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