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Practical Enterprise Data Lake Insights
Handle Data-Driven Challenges in an Enterprise Big Data Lake
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97 b
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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 Design a data lake Implement Data Capture and Streaming strategies Process data in Hadoop Understand data lake security and availability Who This Book Is For Big data architects and solution architects
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