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Preface
Chapter 1:Big Data Analytics with Java
Why data analytics on big data?
Big data for analytics
Big data - a bigger pay package for Java developers
Basics of Hadoop - a Java sub-project
Distributed computing on Hadoop
HDFS concepts
Design and architecture of HDFS
Main components of HDFS
HDFS simple commands
Apache Spark
Concepts
Transformations
Actions
Spark Java API
Spark samples using Java 8
Loading data
Data operations - cleansing and munging
Analyzing data - count, projection, grouping, aggregation, and max/min
Actions on RDDs
Paired RDDs
Saving data
Collecting and printing results
Executing Spark programs on Hadoop
Apache Spark sub-projects
Spark machine learning modules
Mahout - a popular Java ML library
Deeplearning4j - a deep learning library
Summary
Chapter 2: First Steps in Data Analysis
Datasets
Data cleaning and munging
Basic analysis of data with Spark SQL
Building SparkConf and context
Dataframe and datasets
Load and parse data
Analyzing data - the Spark-SQL way
Spark SQL for data exploration and analytics
Market basket analysis - Apriori algorithm
Implementation of the Apriori algorithm in Apache Spark
Efficient market basket analysis using FP-Growth algorithm
Running FP-Growth on Apache Spark
Summary
Chapter 3: Data Visualization
Data visualization with Java JFreeChart
Using charts in big data analytics
Time Series chart
All India seasonal and annual average temperature series dataset
Simple single Time Series chart