Big Data Analytics with Java 无水印pdf

Data

Analytics

Java

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Big Data Analytics with Java

Table of Contents
Big Data Analytics with Java
Credits
About the Author
About the Reviewers
www.PacktPub.com
eBooks, discount offers, and more
Why subscribe?
Customer Feedback
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Downloading the color images of this book
Errata
Piracy
Questions
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
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

Time Series chart
All India seasonal and annual average temperature series dataset
Simple single Time Series chart
Multiple Time Series on a single chart window
Bar charts
Histograms
When would you use a histogram?
How to make histograms using JFreeChart?
Line charts
Scatter plots
Box plots
Advanced visualization technique
Prefuse
IVTK Graph toolkit
Other libraries
Summary
4. Basics of Machine Learning
What is machine learning?
Real-life examples of machine learning
Type of machine learning
A small sample case study of supervised and unsupervised learning
Steps for machine learning problems
Choosing the machine learning model
What are the feature types that can be extracted from the datasets?
How do you select the best features to train your models?
How do you run machine learning analytics on big data?
Getting and preparing data in Hadoop
Preparing the data
Formatting the data
Storing the data
Training and storing models on big data
Apache Spark machine learning API
The new Spark ML API
Summary
5. Regression on Big Data
Linear regression
What is simple linear regression?
Where is linear regression used?