‘Spilling’ Your Data into Azure Data Lake: Patterns & How-Tos

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Description

Data is a valuable asset for your organization that has both present and future value, and it's desirable to store all data that can be analyzed to generate insights for optimizing your business. Traditional analytics infrastructure makes it difficult to do so because is often too costly, complex, and rigid. Azure Data Lake makes it easy to build a hyper-scale, enterprise-wide repository to store every type of data in a single place. In this session we describe how you can build, scale, and manage your data lake on Azure. We look into the capabilities that enable you to easily bring data into the data lake, secure it according to policy, and manage costs of storing your data. Finally, we explore the various ways you can analyze the data and generate valuable insights from it to accelerate your business.

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