Build fast scalable data system on Azure SQL Database Hyperscale Clearent

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http://youtube.com/watch?v=DUV9wop86Tw

How to build a fast, scalable data system on Azure SQL Database Hyperscale. Hyperscale’s flexible architecture scales with the pace of your business to process large amounts of data with a small amount of compute in just minutes, and allows you to back up data almost instantaneously. • Zach Fransen, VP of data and AI at Xplor, joins Jeremy Chapman to share how credit card processing firm, Clearent by Xplor, built a fast, scalable merchant transaction reporting system on Azure SQL Database Hyperscale. Take a deep dive on their Hyperscale implementation, from their approach with micro-batching to continuously bring in billions of rows of transactional data, from their on-premises payment fulfillment system at scale, as well as their optimizations for near real-time query performance using clustered column store indexing for data aggregation. • ► QUICK LINKS: • 00:00 - Introduction • 00:35 - Intro to Clearent • 01:33 - Starting point and challenges • 03:12 - Clearant’s shift to Hyperscale • 04:53 - Near real-time reporting/micro-batching • 06:25 - See it in action • 08:28 - Processing large amounts of data • 09:42 - Named replicas • 10:34 - Query speed ups - clustered column store indexing • 11:45 - What’s next for Clearent by Xplor? • 12:26 - Wrap up • ► Link References: • • Learn more about Clearent by Xplor and what they're doing with Hyperscale at https://aka.ms/ClearentMechanics • • For more guidance on implementing Azure SQL Database Hyperscale, check out https://aka.ms/MechanicsHyperscale • ► Unfamiliar with Microsoft Mechanics? • We are Microsoft’s official video series for IT. You can watch and share valuable content and demos of current and upcoming tech from the people who build it at #Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMe... • Join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t... • Watch or listen via podcast here: https://microsoftmechanics.libsyn.com... • ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: / msftmechanics • Follow us on LinkedIn: / microsoft-mechanics • Follow us on Facebook: / microsoftmechanics

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