Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples. Once you have taken a tour of Hadoop 3’s latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. (Limited-time offer)
Table of Contents
- Introduction to Hadoop
- Overview of Big Data Analytics
- Big Data Processing with MapReduce
- Scientific Computing and Big Data Analysis with Python and Hadoop
- Statistical Big Data Computing with R and Hadoop
- Batch Analytics with Apache Spark
- Real-Time Analytics with Apache Spark
- Batch Analytics with Apache Flink
- Stream Processing with Apache Flink
- Visualizing Big Data
- Introduction to Cloud Computing
- Using Amazon Web Services
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Author(s): Sridhar Alla
Publisher: Packt Publishing
Published: May 2018
Format(s): Online
File size: –
Number of pages: 482
Download / View Link(s): This offer has ended.
Free as of 05/24/2022.
Publisher: Packt Publishing
Published: May 2018
Format(s): Online
File size: –
Number of pages: 482
Download / View Link(s): This offer has ended.
Free as of 05/24/2022.