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( Apache Spark Training - https://www.edureka.co/apache-spark-scala-training ) This Scala Language Tutorial will help you understand Functional Programming in Scala. Unlike other traditional functional languages, Scala allows a gradual, easy migration to a more functional style. This tutorial covers how to use Higher Order functions in Scala with examples. Below are the topics covered in this tutorial: 1) Functional Programming in Scala 2) Higher Order Functions 3) Anonymous Functions Market for Scala is increasing at a very fast pace. Developers want more flexible languages to improve their productivity. Scala language has REPL, which stands for Read, Evaluate, Print and Loop. REPL is a shell, wherein you can do some interactive analysis. It is the environment where you can type some of your programs, test it and if they work fine, it proves that your program is fine. To get more insights of Scala language watch this video. Related Blogs: 5 Reasons to Learn Spark: https://goo.gl/7nMcS0 Apache Spark vs Hadoop MapReduce: https://goo.gl/DkoUU0 Apache Spark with Hadoop, Why it matters: https://goo.gl/I2MCeP Subscribe to our channel to get video updates. Hit the subscribe button above. #FunctionalProgramming #ScalaProgramming #HigherOrderFunctions #LearnScala How it Works? 1. This is a 4 Week Instructor led Online Course, 32 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course This Spark and Scala training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path. After completing the Apache Spark training, you will be able to: 1) Understand Scala and its implementation 2) Master the concepts of Traits and OOPS in Scala programming 3) Install Spark and implement Spark operations on Spark Shell 4) Understand the role of Spark RDD 5) Implement Spark applications on YARN (Hadoop) 6) Learn Spark Streaming API 7) Implement machine learning algorithms in Spark MLlib API 8) Analyze Hive and Spark SQL architecture 9) Understand Spark GraphX API and implement graph algorithms 10) Implement Broadcast variable and Accumulators for performance tuning 11) Spark Real-time Projects - - - - - - - - - - - - - - Who should go for this Course? This course is a must for anyone who aspires to embark into the field of big data and keep abreast of the latest developments around fast and efficient processing of ever-growing data using Spark and related projects. The course is ideal for: 1. Big Data enthusiasts 2. Software Architects, Engineers and Developers 3. Data Scientists and Analytics professionals - - - - - - - - - - - - - - Why learn Apache Spark? In this era of ever growing data, the need for analyzing it for meaningful business insights is paramount. There are different big data processing alternatives like Hadoop, Spark, Storm and many more. Spark, however is unique in providing batch as well as streaming capabilities, thus making it a preferred choice for lightening fast big data analysis platforms. The following Edureka blogs will help you understand the significance of Spark training: www.edureka.co/blog/5-reasons-to-learn-apache-spark/ www.edureka.co/blog/apache-spark-with-hadoop-why-it-matters/ For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review: Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! Edureka lets you go back later, when your boss says "I want this ASAP!" ~ This is the killer education app... I've taken two courses, and I'm taking two more.”
