Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake
- 3h 25m
- Saurabh Gupta, Venkata Giri
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
About the Author
Saurabh K. Gupta is a technology leader, published author, and data enthusiast with more than a decade of experience in data architecture, engineering, development, and administration. Working as Data & Analytics Manager at GE, he focusses on data lake analytical programs to build digital solutions for business stakeholders. In the past, he has worked extensively with Oracle database design and development, PaaS and IaaS cloud service models, consolidation, and in-memory technologies. Prior to authoring "Practical Enterprise Data Lake Insights" with Apress in 2018, he worked with Packt publishing for "Advanced Oracle PL/SQL Developer's Guide" in 2016, and "Oracle Advanced PL/SQL Developer Professional Guide" in 2012. He is a frequent speaker a conferences organized by the data and analytics user community and technical institutions. He tweets at @saurabhkg and blogs at sbhoracle.wordpress.com.
In this Book
Introduction to Enterprise Data Lakes
Data Lake Ingestion Strategies
Capture Streaming Data with Change-Data-Capture
Data Processing Strategies in Data Lakes
Data Archiving Strategies in Data Lakes
Data Security in Data Lakes
Ensure High Availability of Data Lake
Managing Data Lake Operations