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
Transformations on paired RDDs
Saving data
Collecting and printing results
Executing Spark programs on Hadoop
Apache Spark sub-projects
Spark machine learning modules
MLlib Java API
Other machine learning libraries
Mahout – a popular Java ML library
Deeplearning4j – a deep learning library
Compressing data
Avro and Parquet
Summary
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
Full 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
3. Data Visualization
Data visualization with Java JFreeChart
Using charts in big data analytics
