May 2017
Beginner to intermediate
596 pages
15h 2m
English
Overview
"Data Lake for Enterprises" is a comprehensive guide to building data lakes using the Lambda Architecture. It introduces big data technologies like Hadoop, Spark, and Flume, showing how to use them effectively to manage and leverage enterprise-scale data. You'll gain the skills to design and implement data systems that handle complex data challenges.
What this Book will help me do
- Master the use of Lambda Architecture to create scalable and effective data management systems.
- Understand and implement technologies like Hadoop, Spark, Kafka, and Flume in an enterprise data lake.
- Integrate batch and stream processing techniques using big data tools for comprehensive data analysis.
- Optimize data lakes for performance and reliability with practical insights and techniques.
- Implement real-world use cases of data lakes and machine learning for predictive data insights.
Author(s)
None Mishra, None John, and Pankaj Misra are recognized experts in big data systems with a strong background in designing and deploying data solutions. With a clear and methodical teaching style, they bring years of experience to this book, providing readers with the tools and knowledge required to excel in enterprise big data initiatives.
Who is it for?
This book is ideal for software developers, data architects, and IT professionals looking to integrate a data lake strategy into their enterprises. It caters to readers with a foundational understanding of Java and big data concepts, aiming to advance their practical knowledge of building scalable data systems. If you're eager to delve into cutting-edge technologies and transform enterprise data management, this book is for you.
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