By Frank Kane
- Understand how Spark should be disbursed throughout computing clusters
- Develop and run Spark jobs successfully utilizing Python
- A hands-on educational via Frank Kane with over 15 real-world examples educating you immense information processing with Spark
Frank Kane's Taming colossal information with Apache Spark and Python is your spouse to studying Apache Spark in a hands-on demeanour. Frank will commence you off by means of educating you ways to establish Spark on a unmarried method or on a cluster, and you may quickly stream directly to reading huge facts units utilizing Spark RDD, and constructing and operating powerful Spark jobs speedy utilizing Python.
Apache Spark has emerged because the subsequent giant factor within the colossal information area – speedy emerging from an ascending expertise to a longtime celebrity in precisely an issue of years. Spark lets you quick extract actionable insights from quite a lot of info, on a real-time foundation, making it a vital instrument in lots of glossy businesses.
Frank has packed this e-book with over 15 interactive, fun-filled examples correct to the true international, and he'll empower you to appreciate the Spark environment and enforce production-grade real-time Spark initiatives with ease.
What you are going to learn
- Find out how one can establish large information difficulties as Spark problems
- Install and run Apache Spark in your machine or on a cluster
- Analyze huge facts units throughout many CPUs utilizing Spark's Resilient allotted Datasets
- Implement computing device studying on Spark utilizing the MLlib library
- Process non-stop streams of information in genuine time utilizing the Spark streaming module
- Perform complicated community research utilizing Spark's GraphX library
- Use Amazon's Elastic MapReduce provider to run your Spark jobs on a cluster
About the Author
My identify is Frank Kane. I spent 9 years at Amazon and IMDb, wrangling hundreds of thousands of purchaser scores and shopper transactions to supply issues akin to custom-made concepts for videos and items and "people who received this additionally bought." I inform you, I want we had Apache Spark again then, whilst I spent years attempting to remedy those difficulties there. I carry 17 issued patents within the fields of disbursed computing, facts mining, and laptop studying. In 2012, I left to begin my very own winning corporation, Sundog software program, which makes a speciality of digital truth setting know-how, and educating others approximately vast info analysis.
Table of Contents
- Getting all started with Spark
- Spark fundamentals and straightforward Examples
- Advanced Examples of Spark Programs
- Running Spark on a Cluster
- SparkSQL, Dataframes and Datasets
- Other Spark applied sciences and Libraries
- Where to head From right here? - studying extra approximately Spark and information Science
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