->

Taming Big Data with Apache Spark and Python - Hands On


Taming Big Data with Apache Spark and Python - Hands On
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours 11M | 4.23 GB
Genre: eLearning | Language: English


Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis. This course will be your companion to learn Apache Spark in a hands-on manner. Start with understanding how to set up Spark on a single system or on a cluster. From analyzing large data sets using Spark RDD, to developing and running effective Spark jobs quickly using Python, this course will teach you everything. Packed with over 15 interactive, fun-filled examples relevant to the real-world, the course will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease.

 

Taming Big Data with Apache Spark and Python - Hands On
Taming Big Data with Apache Spark and Python - Hands On.part1.rar - 600.0 MB
Taming Big Data with Apache Spark and Python - Hands On.part2.rar - 600.0 MB
Taming Big Data with Apache Spark and Python - Hands On.part3.rar - 600.0 MB
Taming Big Data with Apache Spark and Python - Hands On.part4.rar - 600.0 MB
Taming Big Data with Apache Spark and Python - Hands On.part5.rar - 600.0 MB
Taming Big Data with Apache Spark and Python - Hands On.part6.rar - 600.0 MB
Taming Big Data with Apache Spark and Python - Hands On.part7.rar - 600.0 MB
Taming Big Data with Apache Spark and Python - Hands On.part8.rar - 303.5 MB


 TO MAC USERS: If RAR password doesn't work, use this archive program: 

RAR Expander 0.8.5 Beta 4  and extract password protected files without error.


 TO WIN USERS: If RAR password doesn't work, use this archive program: 

Latest Winrar  and extract password protected files without error.


 nagy   |  

Information
Members of Guests cannot leave comments.




rss