Best Apache Spark courses & Best Apache Spark tutorials 2020

Apache Spark is an open-source cluster-computing framework made in 2014. It was originally developed at the University of California, Berkeley’s AMPLab. It is now maintained by the Apache Software Foundation. It is a super fast analytics engine used for Big Data and Machine Learning. Spark provides high-level APIs in Scala, Java, Python, and R. It has modules which include Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Spark Streaming for stream processing. Here are the best Apache Spark tutorials, best Apache Spark books & best Apache Spark courses in 2020.

Best Spark courses 2020

Apache Spark 2.0 with Scala – Hands On with Big Data!

by Frank Kane will teach you to analyze large data sets. You will frame big data analysis problems as Apache Spark scripts. This Apache Spark tutorial will also teach you the Scala programming language. Scala and Spark work together very well. Using Scala, you will develop distributed code. You will understand Resilient Distributed Datastores. This Spark tutorial will teach you how to carry out partitioning, caching, and other techniques to optimize your Spark jobs. You will build, deploy, and run Spark scripts on Hadoop clusters. This course will teach you to use Spark Streaming. Spark Streaming allows you to process continual streams of data. This Apache Spark 2 tutorial will help you transform structured data using SparkSQL and DataFrames. Using GraphX, you will traverse and analyze graph structure. You will make use of Amazon’s Elastic MapReduce service for larger data sets. The tutorial is packed with over 20 real world examples. By the end of this, you will be able to analyze gigabytes of data in cloud in a few minutes. This is the best Apache Spark tutorial in 2020.

Best Spark tutorials 2020

Apache Spark with Java – Learn Spark from a Big Data Guru

by James Lee and Tao W. will teach you everything you need to know about developing Spark applications with Java. You will start of with an overview of Apache Spark architecture. This Apache Spark tutorial will teach you to develop Apache Spark 2.0 applications with Java and Spark SQL. You will make use of Resilient Distributed Datasets(RDDs) to process and analyze large data sets. Advanced Spark techniques like partitioning, caching and persisting RDDs will be used to optimize your Spark jobs. You will gain a good understanding of Spark SQL. By using broadcast variables and accumulators, you will share data across different nodes of Spark clusters. By the end of this course, you will gain in-depth Spark knowledge and the ability to carry out Spark jobs. This tutorial will teach you Spark best practices. Learn Spark from the best Spark tutorial in 2020.

 

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

by Frank Kane will teach you to analyze large data sets. This Apache Spark tutorial uses Python to develop and run Spark jobs. You will frame big data analysis problems into Spark problems. The Apache Spark course teaches you how to make use of Resilient Distributed Datasets. This allows you to process and analyze data sets across multiple CPUs to get even more processing power. You will make use of the MLLib machine learning library. The MLLib machine learning library allows you to answer common data mining questions. Thistutorial will teach you to make use of Spark SQL and Spark Streaming. You will troubleshoot errors that may occur from running large Spark jobs on a cluster. This course will teach you to implement iterative algorithms. This is the best Spark course in 2020.

Best Spark books 2020

Spark: The Definitive Guide: Big Data Processing Made Simple

Spark: The Definitive Guide: Big Data Processing Made Simple
  • Amazon Kindle Edition
  • Chambers, Bill (Author)
  • English (Publication Language)
  • 936 Pages - 02/08/2018 (Publication Date) - O'Reilly Media (Publisher)

Use, deploy, and maintain the Apache Spark with this best Spark guide written by the creators of Open Source Clustering Infrastructure. Focusing on improvements and new features in Spark 2.0, authors Bill Chambers and Metei Jaharia split Spark’s topics into separate sections, each with a unique purpose.

You’ll discover a new high-level API for creating structured streaming, end-to-end streaming applications, as well as the basic functions and general functions of Spark’s structured APIs. Developers and system administrators the basics of monitoring, tuning, and debugging Spark, and will explore Spark’s scalable machine learning library, machine learning techniques, and situations for using MLIB.

Get a smooth overview of big data and spark
DataFrames, SQL, and Datasets with concrete examples
Dive into Spark’s low-level API, RDD, and powered SQL and dataframe
Understand how the spark moves in the clutter
Debug, monitor and tune spark clusters and applications
Discover Flow Processing Engine, the power of structured streaming
Apply MLIB on a variety of issues, including classification or recommendations

Learn Spark from the best Spark book in 2020.

Learning Spark: Lightning Fast Big Data Analysis

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Learning Spark: Lightning-Fast Big Data Analysis
  • O Reilly Media
  • Karau, Holden (Author)
  • English (Publication Language)
  • 276 Pages - 02/27/2015 (Publication Date) - O'Reilly Media (Publisher)

Frank Kane’s Taming Big Data with Apache Spark and Python

Frank Kane's Taming Big Data with Apache Spark and Python
  • Kane, Frank (Author)
  • English (Publication Language)
  • 296 Pages - 06/30/2017 (Publication Date) - Packt Publishing (Publisher)

Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming

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Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming
  • Maas, Gerard (Author)
  • English (Publication Language)
  • 452 Pages - 06/17/2019 (Publication Date) - O'Reilly Media (Publisher)

Apache Spark in 24 Hours, Sams Teach Yourself

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Apache Spark in 24 Hours, Sams Teach Yourself
  • Aven, Jeffrey (Author)
  • English (Publication Language)
  • 592 Pages - 08/17/2016 (Publication Date) - Sams Publishing (Publisher)

Spark in Action, Second Edition: Covers Apache Spark 3 with Examples in Java, Python, and Scala

Spark in Action, Second Edition: Covers Apache Spark 3 with Examples in Java, Python, and Scala
  • Perrin, Jean-Georges (Author)
  • English (Publication Language)
  • 576 Pages - 06/02/2020 (Publication Date) - Manning Publications (Publisher)

Advanced Analytics with Spark: Patterns for Learning from Data at Scale 2nd Edition

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Advanced Analytics with Spark: Patterns for Learning from Data at Scale
  • OREILLY
  • Ryza, Sandy (Author)
  • English (Publication Language)
  • 280 Pages - 07/11/2017 (Publication Date) - O'Reilly Media (Publisher)
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