Taming Big Data with Apache Spark and Python – Hands On! free download

Taming Big Data with Apache Spark and Python – Hands On! Use DataFrames and Structured Streaming in Spark 3 . Use the MLLib machine learning library to answer common data mining questions . Use Amazon’s Elastic MapReduce service to run your job on a cluster with Hadoop YARN . Use Spark’s Resilient Distributed Datasets to process and analyze large data sets across many CPU’s . Implement iterative algorithms such as breadth-first-search using Spark . Tune and troubleshoot large jobs running on Spark clusters to share information between nodes . Use Apache Spark on desktop computers or on a desktop computer or on an Apache Spark cluster .

What you’ll find out in Taming Big Information with Apache Spark and also Python – Hands On!

  1. Use DataFrames and also Structured Streaming in Glow 3
  2. Use the MLLib maker finding out collection to respond to usual data mining concerns
  3. Understand just how Flicker Streaming lets your process continual streams of information in actual time
  4. Structure big information evaluation problems as Spark troubles
  5. Use Amazon’s Elastic MapReduce service to run your work on a cluster with Hadoop thread
  6. Install as well as run Apache Flicker on a computer or on a cluster
  7. Usage Glow’s Resilient Distributed Datasets to process and also assess big data sets throughout many CPU’s
  8. Implement repetitive formulas such as breadth-first-search making use of Glow
  9. Understand exactly how Glow SQL allows you work with structured data
  10. Tune and also fix large jobs operating on a collection
  11. Share info between nodes on a Flicker cluster using broadcast variables as well as collectors
  12. Understand just how the GraphX collection aids with network analysis issues


New! Updated for Flicker 3, extra hands-on workouts, and also a stronger concentrate on DataFrames and Structured Streaming.

“Big data” evaluation is a hot and very beneficial ability– and this training course will teach you the most popular innovation in big data: Apache Spark as well as particularly PySpark. Companies consisting of Amazon.com, Ebay.com, NASA JPL, and Yahoo all use Spark to quickly extract meaning from huge information collections across a fault-tolerant Hadoop collection. You’ll discover those exact same strategies, using your very own Windows system right in your home. It’s simpler than you may believe.

Learn as well as master the art of framing information evaluation troubles as Spark problems via over 20 hands-on examples, and after that scale them as much as operate on cloud computing solutions in this course. You’ll be gaining from an ex-engineer and also elderly manager from Amazon.com and IMDb.

Who this course is for:

  • People with some software development background who want to learn the hottest technology in big data analysis will want to check this out. This course focuses on Spark from a software development standpoint; we introduce some machine learning and data mining concepts along the way, but that’s not the focus. If you want to learn how to use Spark to carve up huge datasets and extract meaning from them, then this course is for you.
  • If you’ve never written a computer program or a script before, this course isn’t for you – yet. I suggest starting with a Python course first, if programming is new to you.
  • If your software development job involves, or will involve, processing large amounts of data, you need to know about Spark.
  • If you’re training for a new career in data science or big data, Spark is an important part of it.
File Name :Taming Big Data with Apache Spark and Python – Hands On! free download
Content Source:udemy
Genre / Category:Data Science
File Size :3.35 gb
Publisher :Sundog Education by Frank Kane
Updated and Published:07 Jul,2022

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File name: Taming-Big-Data-with-Apache-Spark-and-Python-Hands-On!.rar
File Size:3.35 gb
Course duration:6 hours
Instructor Name:Sundog Education by Frank Kane , Frank Kane , Sundog Education Team
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