Practical Enterprise Data Lake Insights

Description

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 LearnGet to know data lake architecture and design principlesImplement data capture and streaming strategies Implement data processing strategies in HadoopUnderstand the data lake security framework and availability model Who This Book Is For Big data architects and solution architects Front Matter ....Pages i-xviii Introduction to Enterprise Data Lakes (Saurabh Gupta, Venkata Giri)....Pages 1-31 Data lake ingestion strategies (Saurabh Gupta, Venkata Giri)....Pages 33-85 Capture Streaming Data with Change-Data-Capture (Saurabh Gupta, Venkata Giri)....Pages 87-123 Data Processing Strategies in Data Lakes (Saurabh Gupta, Venkata Giri)....Pages 125-199 Data Archiving Strategies in Data Lakes (Saurabh Gupta, Venkata Giri)....Pages 201-223 Data Security in Data Lakes (Saurabh Gupta, Venkata Giri)....Pages 225-259 Ensure High Availability of Data Lake (Saurabh Gupta, Venkata Giri)....Pages 261-295 Managing Data Lake Operations (Saurabh Gupta, Venkata Giri)....Pages 297-315 Back Matter ....Pages 317-327