Hybrid Transactional Analytical Processing on SQL Server 2016 with Lindsey Allen

Hybrid Transactional Analytical Processing on SQL Server 2016 with Lindsey Allen

Author: Carl Franklin and Richard Campbell October 11, 2016 Duration: 46:54
What the heck is Hybrid Transactional Analytical Processing (HTAP)? While at Ignite, Carl and Richard sat down with Lindsey Allen to talk about taking SQL Server "beyond relational." HTAP focuses on being able to do data analysis as data arrives in the database, independent of the transaction that actually wrote it. Lindsey talks about the power of being to get to near-real time with data analytics, rather than batch processing. Different than streams, you're still talking about data written to the database, so you already know your application logic and data integrity have been applied before you start your analysis. HTAP has huge potential for making super responsive applications!

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Hosted by Carl Franklin and Richard Campbell, .NET Rocks! is a long-running conversation with the people building the future of software. This isn't a dry lecture; it's a lively, technical deep dive where two seasoned developers explore the vast ecosystem around Microsoft .NET, Azure, and modern development practices with a diverse roster of expert guests. Each episode feels like you're pulling up a chair in a room full of brilliant minds, listening to unfiltered discussions about real-world coding challenges, architectural patterns, and the tools that shape our daily work. You'll hear practical advice, war stories from the trenches, and forward-looking insights that go far beyond the documentation. Tuning into this podcast means connecting with a community of professionals who are as passionate about the craft as you are, offering perspectives that can transform how you approach your next project. Whether you're deep into C# or just curious about cloud-native development, these conversations provide a valuable blend of knowledge, humor, and genuine enthusiasm for technology.
Author: Language: English Episodes: 1000

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