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Use this practical guide to successfully handle the challenges
encountered when designing an enterprise data lake and learn
industry best practices to resolve issues. When designing an
enterprise data lake you often hit a roadblock when you must leave
the comfort of the relational world and learn the nuances of
handling non-relational data. Starting from sourcing data into the
Hadoop ecosystem, you will go through stages that can bring up
tough questions such as data processing, data querying, and
security. Concepts such as change data capture and data streaming
are covered. The book takes an end-to-end solution approach in a
data lake environment that includes data security, high
availability, data processing, data streaming, and more. Each
chapter includes application of a concept, code snippets, and use
case demonstrations to provide you with a practical approach. You
will learn the concept, scope, application, and starting point.
What You'll Learn Get to know data lake architecture and design
principles Implement data capture and streaming strategies
Implement data processing strategies in Hadoop Understand the data
lake security framework and availability model Who This Book Is For
Big data architects and solution architects
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