By Frank Kane
ISBN-10: 1787287947
ISBN-13: 9781787287945
Key Features
- Understand how Spark should be dispensed throughout computing clusters
- Develop and run Spark jobs successfully utilizing Python
- A hands-on instructional by way of Frank Kane with over 15 real-world examples educating you huge information processing with Spark
Book Description
Frank Kane's Taming colossal information with Apache Spark and Python is your significant other to studying Apache Spark in a hands-on demeanour. Frank will begin you off via instructing you ways to establish Spark on a unmarried approach or on a cluster, and you may quickly stream directly to studying huge facts units utilizing Spark RDD, and constructing and working potent Spark jobs quick utilizing Python.
Apache Spark has emerged because the subsequent significant factor within the large information area – speedy emerging from an ascending expertise to a longtime celebrity in precisely an issue of years. Spark permits you to fast extract actionable insights from quite a lot of information, on a real-time foundation, making it a vital device in lots of smooth businesses.
Frank has packed this publication 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 determine sizeable facts 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 disbursed Datasets
- Implement computing device studying on Spark utilizing the MLlib library
- Process non-stop streams of knowledge in genuine time utilizing the Spark streaming module
- Perform complicated community research utilizing Spark's GraphX library
- Use Amazon's Elastic MapReduce carrier 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 rankings and client transactions to supply issues similar to customized techniques for videos and items and "people who acquired this additionally bought." I let you know, I want we had Apache Spark again then, while I spent years attempting to clear up those difficulties there. I carry 17 issued patents within the fields of disbursed computing, information mining, and computer studying. In 2012, I left to begin my very own winning corporation, Sundog software program, which specializes in digital truth setting know-how, and instructing others approximately great info analysis.
Table of Contents
- Getting begun with Spark
- Spark fundamentals and easy 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
Read Online or Download Frank Kane's Taming Big Data with Apache Spark and Python PDF
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Extra info for Frank Kane's Taming Big Data with Apache Spark and Python
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Frank Kane's Taming Big Data with Apache Spark and Python by Frank Kane
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