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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 datasets. It 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.Why You Should Learn Apache SparkApache 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:In order to go with the growing demand for Apache SparkTo fulfill the demands for Spark developersTo get benefits of existing big data investmentsResources to learn ReactTo 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.BooksCertificationsVideosTutorials, Blogs, and TalksHands-on Exercises 1. BooksWhen 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.Here is the list of top books to learn Apache Spark:Learning Spark by Matei Zaharia, Patrick Wendell, Andy Konwinski, Holden KarauAdvanced Analytics with Spark by Sandy Ryza, Uri Laserson, Sean Owen and Josh WillsMastering Apache Spark by Mike FramptonSpark: The Definitive Guide – Big Data Processing Made SimpleSpark GraphX in ActionBig Data Analytics with SparkThese are the various Apache Spark books meant for you to learn. These books include for beginners and others for the advanced level professionals.2. Apache Spark Training and CertificationsOne 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.3. Videos:Videos are really good resources to help you learn Apache Spark. Following are the few videos will help you understand Apache Spark.Overview of SparkIntro to Spark - Brian ClapperAdvanced Spark Analytics - Sameer FarooquiSpark Summit VideosVideos from Spark Summit 2014, San Francisco, June 30 - July 2, 2013Full agenda with links to all videos and slidesTraining videos and slidesVideos from Spark Summit 2013, San Francisco, Dec 2-3-2013Full agenda with links to all videos and slidesYouTube playist of all KeynotesYouTube 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)You can learn more on Apache Spark YouTube Channel for videos from Spark events. 4. Tutorials, Blogs, and TalksUsing Parquet and Scrooge with Spark — Scala-friendly Parquet and Avro usage tutorial from Ooyala's Evan ChanUsing Spark with MongoDB — by Sampo Niskanen from WellmoSpark Summit 2013 — contained 30 talks about Spark use cases, available as slides and videosA Powerful Big Data Trio: Spark, Parquet and Avro — Using Parquet in Spark by Matt MassieReal-time Analytics with Cassandra, Spark, and Shark — Presentation by Evan Chan from Ooyala at 2013 Cassandra SummitRun Spark and Shark on Amazon Elastic MapReduce — Article by Amazon Elastic MapReduce team member Parviz DeyhimSpark, an alternative for fast data analytics — IBM Developer Works article by M. Tim Jones 5. Hands-on ExercisesHands-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.So these were the best resources to learn Apache Spark. Hope you found what you were looking for. Wish you a Happy Learning!

Best ways to learn Apache Spark

9K
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.

Why You Should Learn Apache Spark

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:

  • 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

Resources to learn React

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

  • Books
  • Certifications
  • Videos
  • Tutorials, Blogs, and Talks
  • Hands-on Exercises

 1. Books

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.

Here is the list of top books to learn Apache Spark:

  • 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

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

2. Apache Spark Training and Certifications

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.

3. Videos:

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

Spark Summit Videos

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.

 4. Tutorials, Blogs, and Talks

 5. Hands-on Exercises

  • 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.

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

KnowledgeHut

KnowledgeHut

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KnowledgeHut is an outcome-focused global ed-tech company. We help organizations and professionals unlock excellence through skills development. We offer training solutions under the people and process, data science, full-stack development, cybersecurity, future technologies and digital transformation verticals.
Website : https://www.knowledgehut.com

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surendra babu 05 Aug 2019

This blog is used me to understand how to learn and why to learn the Spark thanks...

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How to install Apache Spark on Windows?

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.In this document, we will cover the installation procedure of Apache Spark on Windows 10 operating systemPrerequisitesThis guide assumes that you are using Windows 10 and the user had admin permissions.System requirements:Windows 10 OSAt least 4 GB RAMFree space of at least 20 GBInstallation ProcedureStep 1: Go to the below official download page of Apache Spark and choose the latest release. For the package type, choose ‘Pre-built for Apache Hadoop’.The page will look like below.Step 2:  Once the download is completed unzip the file, to unzip the file using WinZip or WinRAR or 7-ZIP.Step 3: Create a folder called Spark under your user Directory like below and copy paste the content from the unzipped file.C:\Users\\SparkIt looks like below after copy-pasting into the Spark directory.Step 4: Go to the conf folder and open log file called, log4j.properties. template. Change INFO to WARN (It can be ERROR to reduce the log). This and next steps are optional.Remove. template so that Spark can read the file.Before removing. template all files look like below.After removing. template extension, files will look like belowStep 5: Now we need to configure path.Go to Control Panel -> System and Security -> System -> Advanced Settings -> Environment VariablesAdd below new user variable (or System variable) (To add new user variable click on New button under User variable for )Click OK.Add %SPARK_HOME%\bin to the path variable.Click OK.Step 6: Spark needs a piece of Hadoop to run. For Hadoop 2.7, you need to install winutils.exe.You can find winutils.exe from below pageDownload it.Step 7: Create a folder called winutils in C drive and create a folder called bin inside. Then, move the downloaded winutils file to the bin folder.C:\winutils\binAdd the user (or system) variable %HADOOP_HOME% like SPARK_HOME.Click OK.Step 8: To install Apache Spark, Java should be installed on your computer. If you don’t have java installed in your system. Please follow the below processJava Installation Steps:Go to the official Java site mentioned below  the page.Accept Licence Agreement for Java SE Development Kit 8u201Download jdk-8u201-windows-x64.exe fileDouble Click on Downloaded .exe file, you will the window shown below.Click Next.Then below window will be displayed.Click Next.Below window will be displayed after some process.Click Close.Test Java Installation:Open Command Line and type java -version, then it should display installed version of JavaYou should also check JAVA_HOME and path of %JAVA_HOME%\bin included in user variables (or system variables)1. In the end, the environment variables have 3 new paths (if you need to add Java path, otherwise SPARK_HOME and HADOOP_HOME).2. Create c:\tmp\hive directory. This step is not necessary for later versions of Spark. When you first start Spark, it creates the folder by itself. However, it is the best practice to create a folder.C:\tmp\hiveTest Installation:Open command line and type spark-shell, you get the result as below.We have completed spark installation on Windows system. Let’s create RDD and     Data frameWe create one RDD and Data frame then will end up.1. We can create RDD in 3 ways, we will use one way to create RDD.Define any list then parallelize it. It will create RDD. Below is code and copy paste it one by one on the command line.val list = Array(1,2,3,4,5) val rdd = sc.parallelize(list)Above will create RDD.2. Now we will create a Data frame from RDD. Follow the below steps to create Dataframe.import spark.implicits._ val df = rdd.toDF("id")Above code will create Dataframe with id as a column.To display the data in Dataframe use below command.Df.show()It will display the below output.How to uninstall Spark from Windows 10 System: Please follow below steps to uninstall spark on Windows 10.Remove below System/User variables from the system.SPARK_HOMEHADOOP_HOMETo remove System/User variables please follow below steps:Go to Control Panel -> System and Security -> System -> Advanced Settings -> Environment Variables, then find SPARK_HOME and HADOOP_HOME then select them, and press DELETE button.Find Path variable Edit -> Select %SPARK_HOME%\bin -> Press DELETE ButtonSelect % HADOOP_HOME%\bin -> Press DELETE Button -> OK ButtonOpen Command Prompt the type spark-shell then enter, now we get an error. Now we can confirm that Spark is successfully uninstalled from the System.
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