September 2016
Beginner to intermediate
326 pages
6h 47m
English
Overview
Dive into the world of big data with "Big Data Analytics: Real Time Analytics Using Apache Spark and Hadoop." This comprehensive guide introduces readers to the fundamentals and practical applications of Apache Spark and Hadoop, covering essential topics like Spark SQL, DataFrames, structured streaming, and more. Learn how to harness the power of real-time analytics and big data tools effectively.
What this Book will help me do
- Master the key components of Apache Spark and Hadoop ecosystems, including Spark SQL and MapReduce.
- Gain an understanding of DataFrames, DataSets, and structured streaming for seamless data handling.
- Develop skills in real-time analytics using Spark Streaming and technologies like Kafka and HBase.
- Learn to implement machine learning models using Spark's MLlib and ML Pipelines.
- Explore graph analytics with GraphX and leverage data visualization tools like Jupyter and Zeppelin.
Author(s)
Venkat Ankam, an expert in big data technologies, has years of experience working with Apache Hadoop and Spark. As an educator and technical consultant, Venkat has enabled numerous professionals to gain critical insights into big data ecosystems. With a pragmatic approach, his writings aim to guide readers through complex systems in a structured and easy-to-follow manner.
Who is it for?
This book is perfect for data analysts, data scientists, software architects, and programmers aiming to expand their knowledge of big data analytics. Readers should ideally have a basic programming background in languages like Python, Scala, R, or SQL. Prior hands-on experience with big data environments is not necessary but is an added advantage. This guide is created to cater to a range of skill levels, from beginners to intermediate learners.
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