Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake
暫譯: 實用企業數據湖洞察：應對企業大數據湖中的數據驅動挑戰

 

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.

 

• 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

 

Big data architects and solution architects