LEARNING FOR LIFE

Get Yourself a Better Life! Free eLearning Download

  • Technical
    • Internet & Networking
    • Security & Hacking
    • AI | Artificial intelligence
    • OS & Server
    • WEB/HTML/CSS/AJAX
    • Database & SQL
    • Programming
    • Perl & PHP
    • .Net & Java
    • Mobile Development
    • C/C++/C#
    • Game Development
    • Unix & Linux
    • MAC OS X
    • Windows
    • OFFICE
    • Operation Systems
    • Hardware
  • Graphic & Media
    • Photography
    • 3D
    • Adobe Product Training
    • Art & Drawing & Painting
    • Film & Film Making
    • Game Designing
    • Music Training
    • Tutorials for designer
  • Business
    • Business & Investing
    • Writing & Affiliate
    • Marketing
    • Sales
    • Economics & Finances
    • Seo & Site Traffic
    • Stock & ForEX
  • Life Stype
    • Self Improvement | MP
    • Mindset | NLP
    • Fashion / Clothing / Grooming
    • Seduction
    • Fighting / Martial Arts
    • Food / Drink / Cooking
    • Health / Fitness / Massage
    • Languages / Accents
    • Magic / Illusions / Tricks
    • Psychology / Body Language
  • Engineering & Science
    • Cultures & History
    • Electrical & Architecture
    • Mathematics & Physics
    • Medical
  • Entertainment
    • Comic
    • Manga
    • Novel
    • Magazine
  • PC Game
    • Mac Game
    • Xbox Game
    • Play Station Game
Home » Ebooks & Tutorials » Technical » Programming » Packt Publishing – Apache Spark with Scala

Packt Publishing – Apache Spark with Scala

28/03/2017 Tut4DL Leave a Comment

Packt Publishing – Apache Spark with Scala
English | Size: 4.1 GB
Category: Video Training


With the rise in popularity of the term ‘Big Data’, there is an increasing need to process large amounts of data in real-time, with maximum efficiency. This has led to Apache Spark gaining popularity in the Big Data market very quickly.
The Spark ecosystem allows you to process large streams of data in real-time. As Spark is built on Scala, knowledge of both has become vital for data scientists and data analysts today. This comprehensive 7 hour course will empower you to build efficient Spark applications to fulfill your Big Data needs.You will start with quickly understanding the basics of Scala and proceed to set up the development environment for Apache Spark and Scala for Big Data processing.

You will understand the different modules of Spark like Spark SQL, Spark Streaming and GraphX, along with when and how to use them. While doing so, you will build practical, real-world Spark applications in Scala and see how you can deploy them on the cloud.

You will also learn how to perform machine learning in real time using Spark’s MLlib module. Finally, you will learn how to run Spark on Hadoop clusters along with best practices and troubleshooting techniques.With over 20 carefully selected examples and abundant explanation to explain even the most difficult concepts, this course will ensure your success in taming your Big Data challenges using Spark with Scala.



Download Faster with Resume Support with Premium Account

RapidGator
http://rapidgator.net/file/65fc092d91b55baf327b84824a5ccad5/packt-publishing-apache-spark-with-scala.part01.rar.html
http://rapidgator.net/file/6a40e48f6fd620daac3a1513175f4f51/packt-publishing-apache-spark-with-scala.part02.rar.html
http://rapidgator.net/file/eeb83d0a848d8c1d791d9e9024dfac2f/packt-publishing-apache-spark-with-scala.part03.rar.html
http://rapidgator.net/file/4ea0975d8eada97f30f0d5643dfdca7b/packt-publishing-apache-spark-with-scala.part04.rar.html
http://rapidgator.net/file/4caebbc8c84521d566075c5d273cfb5f/packt-publishing-apache-spark-with-scala.part05.rar.html
http://rapidgator.net/file/d817605e7ba507cc4606a39b8bfe4644/packt-publishing-apache-spark-with-scala.part06.rar.html
http://rapidgator.net/file/ad4958c581c9e2ba867d20f4318b6d60/packt-publishing-apache-spark-with-scala.part07.rar.html
http://rapidgator.net/file/84d6cd98b29df43871d34fc875b6c246/packt-publishing-apache-spark-with-scala.part08.rar.html
http://rapidgator.net/file/e8a7b92b5b552eb990439b4b3aa9b63b/packt-publishing-apache-spark-with-scala.part09.rar.html

Uploaded
http://uploaded.net/file/5xg8yali/packt-publishing-apache-spark-with-scala.part01.rar
http://uploaded.net/file/ujyv3uj8/packt-publishing-apache-spark-with-scala.part02.rar
http://uploaded.net/file/vp3v93ns/packt-publishing-apache-spark-with-scala.part03.rar
http://uploaded.net/file/2vfr2vqs/packt-publishing-apache-spark-with-scala.part04.rar
http://uploaded.net/file/53uogpbf/packt-publishing-apache-spark-with-scala.part05.rar
http://uploaded.net/file/ej1a88sj/packt-publishing-apache-spark-with-scala.part06.rar
http://uploaded.net/file/cetgir7w/packt-publishing-apache-spark-with-scala.part07.rar
http://uploaded.net/file/4x2t1hks/packt-publishing-apache-spark-with-scala.part08.rar
http://uploaded.net/file/r0fiwd3t/packt-publishing-apache-spark-with-scala.part09.rar

If any links die or problem unrar, send request to https://forms.gle/e557HbjJ5vatekDV9

Programming, WEB/HTML/CSS/AJAX Apache Spark, Scala

← Packt Publishing – Angular 2 Fundamentals for Web Developers Packt Publishing – Learning Path: Kali Linux →

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

  • Data Entry Masterclass – The Ultimate 10 Day Course | Udemy
  • PBS American Experience – Custer’s Last Stand (2012)
  • Udemy – Ultimate Seo Certificate Course 2025
  • Udemy – Cisco ACI Configuration and Troubleshooting
  • Coursera – Packt: Agile Product Owner Level 1 – Certification And Mock Exams

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org

2019 2020 2021 2022 2023 2024 Advanced AWS Azure BBC Beginners BitBook BOOKWARE Certified Cisco Cloud Comic Complete Course Data Design eBook Fundamentals Guide Hybrid iLEARN Introduction JavaScript Learn Learning LinkedIn Linux Lynda Masterclass Microsoft Packt Pluralsight Programming Python Security Skillshare Training Udemy Using XQZT

Copyright © 2025 · Equilibre on Genesis Framework · WordPress · Log in