Big Data Analytics With Hadoop And Apache Spark

Category: Tutorial

Posted on 2021-11-22, by raymanhero.


Big Data Analytics with Hadoop and Apache Spark
MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Duration: 1h 1m
Skill Level: Intermediate | Genre: eLearning | Language: English + Subtitles | Size: 143 MB


Apache Hadoop was a pioneer in the world of big data technologies, and it continues to be a leader in enterprise big data storage.

Apache Spark is the top big data processing ee and provides an impressive array of features and capabilities. When used together, the Hadoop Distributed File System (HDFS) and Spark can provide a truly scalable big data analytics setup. In this course, learn how to leverage these two technologies to build scalable and optimized data analytics pipelines. Instructor Kumaran Ponnambalam explores ways to optimize data modeling and storage on HDFS; discusses scalable data ingestion and extraction using Spark; and provides tips for optimizing data processing in Spark. Plus, he provides a use case project that allows you to practice your new techniques.

Topics include:

Data modeling for analytics

Best practices for HDFS data storage

Ingesting and extracting data with Spark

Effectively managing partitions

Improving the join process

Best practices for optimizing Spark processing

Download link

Sponsored High Speed Downloads
7816 dl's @ 2270 KB/s
Download Now [Full Version]
6389 dl's @ 2031 KB/s
Download Link 1 - Fast Download
6719 dl's @ 3185 KB/s
Download Mirror - Direct Download

Search More...
Big Data Analytics With Hadoop And Apache Spark

Search free ebooks in!

Related Archive Books

Archive Books related to "Big Data Analytics With Hadoop And Apache Spark":

Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.

Related Books


No comments for "Big Data Analytics With Hadoop And Apache Spark".

    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top