Best ways to learn Apache Spark

If you ask any industry expert what language should you learn for Big Data? You will get an obvious reply to learn Apache Spark. Apache Spark is widely considered as the future of the Big Data industry. Since Apache Spark has stepped into Big data market, it has gained a lot of recognition for itself. Today, most of the cutting-edge companies like Apple, Facebook, Netflix, and Uber, etc. have deployed Spark at massive scale. In this blog post, we will understand why one should learn Apache Spark? And several ways to learn it. 

Apache Spark is a powerful open-source framework for the processing of large datasetsIt is the most successful projects in the Apache software foundation. Apache Spark basically designed for fast computation, also which runs faster than Hadoop. Apache Spark can collectively process huge amount of data present in clusters over multiple nodes. The main feature of Apache Spark is its in-memory cluster computing that increases the processing speed of an application.

Apache Spark has become the most popular unified analytics engine for Big Data and Machine Learning. Enterprises are widely utilizing Spark which in turn is increasing demand for Apache Spark developers. Apache Spark developers are the ones earning the highest salary. IT professionals can leverage this upcoming skill set gap by pursuing a certification in Apache Spark. A developer with expertise in Apache Spark skills can earn an average salary of $78K as per Payscale. It is the right time for you to learn Apache Spark as there is a very high demand for Spark developers chances of getting a job is high.

Here are the reasons why you should learn Apache Spark today:

To learn Spark, you can refer to Spark’s website. There are multiple resources you will find to learn Apache Spark, from books, blogs, online videos, courses, tutorials, etc. With these multiple resources available today, you might be in the dilemma of choosing the best resource, especially in this fast-paced and swiftly evolving industry.

Resources to learn React

When was the last time you read a book? Do you have reading habits? If not, it’s the time to read the books. Reading has a significant number of benefits. Those aren’t fans of books might miss out the importance of Apache Spark. To learn Apache Spark, you can skim through the best Apache Spark books given below.

Apache Spark in 24 hours is a perfect book for beginners which comprises 592 pages covering various topics. An excellent book to learn in a very short span of time. Apart from this, there are also books which will help you master.

These are the various Apache Spark books meant for you to learn. These books include for beginners and others for the advanced level professionals.

One more way to learn Apache Spark is through taking up training. Apache Spark Training will boost your knowledge and also help you learn from experience. You will be certified once you are done with training. Getting this certification will help you stand out of the crowd. You will also gain hands-on skills and knowledge in developing Spark applications through industry-based real-time projects.

Videos are really good resources to help you learn Apache Spark. Following are the few videos will help you understand Apache Spark.

Videos from Spark Summit 2014, San Francisco, June 30 – July 2, 2013

Videos from Spark Summit 2013, San Francisco, Dec 2-3-2013

You can learn more on Apache Spark YouTube Channel for videos from Spark events.

So these were the best resources to learn Apache Spark. Hope you found what you were looking for. Wish you a Happy Learning!

  • In order to go with the growing demand for Apache Spark
  • To fulfill the demands for Spark developers
  • To get benefits of existing big data investments
  • Books
  • Certifications
  • Videos
  • Tutorials, Blogs, and Talks
  • Hands-on Exercises
  • Learning Spark by Matei Zaharia, Patrick Wendell, Andy Konwinski, Holden Karau
  • Advanced Analytics with Spark by Sandy Ryza, Uri Laserson, Sean Owen and Josh Wills
  • Mastering Apache Spark by Mike Frampton
  • Spark: The Definitive Guide – Big Data Processing Made Simple
  • Spark GraphX in Action
  • Big Data Analytics with Spark
  • Overview of Spark
  • Intro to Spark – Brian Clapper
  • Advanced Spark Analytics – Sameer Farooqui
  • Full agenda with links to all videos and slides
  • Training videos and slides
  • Full agenda with links to all videos and slides
  • YouTube playist of all Keynotes
  • YouTube playist of Track A (Spark Applications)
  • YouTube playist of Track B (Spark Deployment, Scheduling & Perf, Related projects)
  • YouTube playist of the Training Day (i.e. the 2nd day of the summit)
  • Using Parquet and Scrooge with Spark — Scala-friendly Parquet and Avro usage tutorial from Ooyala’s Evan Chan
  • Using Spark with MongoDB — by Sampo Niskanen from Wellmo
  • Spark Summit 2013 — contained 30 talks about Spark use cases, available as slides and videos
  • A Powerful Big Data Trio: Spark, Parquet and Avro — Using Parquet in Spark by Matt Massie
  • Real-time Analytics with Cassandra, Spark, and Shark — Presentation by Evan Chan from Ooyala at 2013 Cassandra Summit
  • Run Spark and Shark on Amazon Elastic MapReduce — Article by Amazon Elastic MapReduce team member Parviz Deyhim
  • Spark, an alternative for fast data analytics — IBM Developer Works article by M. Tim Jones
  • Hands-on exercises from Spark Summit 2014 – These exercises will guide you to install Spark on your laptop and learn basic concepts.
  • Hands-on exercises from Spark Summit 2013 – These exercises will help you launch a small EC2 cluster, load a dataset, and query it with Spark, Spark Streaming, and MLlib.
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