Bring your SQL expertise to the Data Lake with Serverless SQL Pools | Data Exposed: MVP Edition

Big data analytics is within easy reach of SQL developers and analysts by using Synapse Analytics Serverless SQL Pools. Data stored in Azure Data Lake can be analysed at scale by using this new data processing engine built by Microsoft. In this session with Andy Culter, we’ll see how SQL developers can bring their expertise to analysing data at scale, and showcase useful SQL functions specific to Synapse.

0:00 Introduction
1:22 Serverless SQL Pools
2:56 Supported SQL Objects
2:43 Demo

✔️ Resources:
Quickstart: Use serverless SQL pool – Azure Synapse Analytics: https://learn.microsoft.com/en-us/azure/synapse-analytics/quickstart-serverless-sql-pool
Build data analytics solutions using Azure Synapse serverless SQL pools – Training: https://learn.microsoft.com/en-us/training/paths/build-data-analytics-solutions-using-azure-synapse-serverless-sql-pools/

About Andy Cutler:
I am an Azure Data Platform professional working with the Azure Data Platform including Azure Synapse Analytics, Data Factory, and Power BI. I hold an MSc in Business Intelligence and Data Mining and I am a current Microsoft Data Platform MVP.

About MVPs:
Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. They are always on the “bleeding edge” and have an unstoppable urge to get their hands on new, exciting technologies. They have very deep knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products and solutions, to solve real world problems. MVPs make up a global community of over 4,000 technical experts and community leaders across 90 countries/regions and are driven by their passion, community spirit, and quest for knowledge. Above all and in addition to their amazing technical abilities, MVPs are always willing to help others – that’s what sets them apart. Learn more: https://aka.ms/mvpprogram

📌 Let’s connect:
Twitter: Rie Merritt, https://twitter.com/IrishSQL
Twitter: Andy Cutler, https://twitter.com/mrandycutler
Twitter: AzureSQL, https://aka.ms/azuresqltw

🔴 To watch other MVP Edition episodes, see our playlist: https://aka.ms/dataexposedmvps
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