March 2018
Beginner to intermediate
394 pages
10h 57m
English
Overview
Delve into the world of big data with 'Modern Big Data Processing with Hadoop.' This comprehensive guide introduces you to the powerful capabilities of Apache Hadoop and its ecosystem to solve data processing and analytics challenges. By the end, you will have mastered the techniques necessary to architect innovative, scalable, and efficient big data solutions.
What this Book will help me do
- Master the principles of building an enterprise-level big data strategy with Apache Hadoop.
- Learn to integrate Hadoop with tools such as Apache Spark, Elasticsearch, and more for comprehensive solutions.
- Set up and manage your big data architecture, including deployment on cloud platforms with Apache Ambari.
- Develop real-time data pipelines and enterprise search solutions.
- Leverage advanced visualization tools like Apache Superset to make sense of data insights.
Author(s)
None R. Patil, None Kumar, and None Shindgikar are experienced big data professionals and accomplished authors. With years of hands-on experience in implementing and managing Apache Hadoop systems, they bring a depth of expertise to their writing. Their dedication lies in making complex technical concepts accessible while demonstrating real-world best practices.
Who is it for?
This book is designed for data professionals aiming to advance their expertise in big data solutions using Apache Hadoop. Ideal readers include engineers and project managers involved in data architecture and those aspiring to become big data architects. Some prior exposure to big data systems is beneficial to fully benefit from this book's insights and tutorials.
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