Big Data Analytics

Big Data Analytics aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters.

Table of Contents

• Big Data Analytics at a 10,000-Foot View
• Getting Started with Apache Hadoop and Apache Spark
• Deep Dive into Apache Spark
• Big Data Analytics with Spark SQL, DataFrames, and Datasets
• Real-Time Analytics with Spark Streaming and Structured Streaming
• Notebooks and Dataflows with Spark and Hadoop
• Machine Learning with Spark and Hadoop
• Building Recommendation Systems with Spark and Mahout
• Graph Analytics with GraphX
• Interactive Analytics with SparkR

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