March 2017
Beginner to intermediate
356 pages
7h 11m
English
Overview
Dive into the world of Big Data with "Learning Apache Spark 2". This book introduces you to the powerful Apache Spark framework, tailored for real-time data analytics and machine learning. Through practical examples and real-world use-cases, you'll gain hands-on experience in leveraging Spark's capabilities for your data processing needs.
What this Book will help me do
- Master the fundamentals of Apache Spark 2 and its new features.
- Effectively use Spark SQL, MLlib, RDDs, GraphX, and Spark Streaming to tackle real-world challenges.
- Gain skills in data processing, transformation, and analysis with Spark.
- Deploy and operate your Spark applications in clustered environments.
- Develop your own recommendation engines and predictive analytics models with Spark.
Author(s)
None Abbasi brings a wealth of expertise in Big Data technologies with a keen focus on simplifying complex concepts for learners. With substantial experience working in data processing frameworks, their approach to teaching creates an engaging and practical learning experience. With "Learning Apache Spark 2", None empowers readers to confidently tackle challenges in Big Data processing and analytics.
Who is it for?
This book is ideal for aspiring Big Data professionals seeking an accessible introduction to Apache Spark. Beginners in Spark will find step-by-step guidance, while those familiar with earlier versions will appreciate the insights into Spark 2's new features. Familiarity with Big Data concepts and Scala programming is recommended for optimal understanding.
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