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Azure Data Lake Analytics or ADLA is all about bringing Big Data capabilities to the masses. Utilize Hadoop technologies to work with both structured and unstructured data. Code in Python, .NET, and U-SQL. In this session will work with U-SQL, which is Microsoft's Big Data language which encompasses both SQL and C#, and similar to HiveQL. Learn about how these technologies can bring value to your organization and where to apply them.

Agenda:

• Fundamental concepts and considerations when designing a Data Lake

• Review when and why you would use ADLA

Deep Dive into ADLA to learn about processing Big Data utilizing U-SQL

A little about Sean:
Sean Forgatch is a Business Intelligence Consultant and Certified Big Data Solutions Developer at Talavant focusing on Data Integration and Analytics. He is passionate about the healthcare industry and enjoys building solutions that impact patients' lives. His latest interest have been developing with BIML and U-SQL while defining best practices for Data Lake implementations. He can often be found at tech meetups around the Milwaukee, WI area and speaks nationally at various SQL Saturdays. When not developing he enjoys running, biking, and visiting family in Northern California and Southern Illinois.

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