What is Scala? | Scala Programming Tutorial for Beginners | Apache Spark Training | Edureka скачать в хорошем качестве

What is Scala? | Scala Programming Tutorial for Beginners | Apache Spark Training | Edureka

** Apache Spark and Scala Certification Training- https://www.edureka.co/apache-spark-s... ** This Edureka Live video on "What is Scala" will provide you detailed knowledge of Scala. You can learn the Features and practical examples in Scala language by understanding and executing all the basic operations in Scala. The following topics are covered in this video: What is Scala? Why do we need Scala? Features of Scala Frameworks of Scala Variables in Scala Collections in Scala Basic operations in Scala Scala Complete Playlist: http://bit.ly/2V8w0Y9 Big Data Podcast - https://castbox.fm/channel/id1814029 -------------------------------------------------------------------------------------- Subscribe to our Edureka YouTube channel to get video updates: https://goo.gl/6ohpTV Instagram:   / edureka_learning   Facebook:   / edurekain   Twitter:   / edurekain   LinkedIn:   / edureka   Slideshare: https://www.slideshare.net/EdurekaIN/ -------------------------------------------------------------------------------------- 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! - - - - - - - - - - - - - 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. About the Course This Spark 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 and Scala 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 - - - - - - - - - - - - - Who should go for our Spark Training Course? The market for Big Data Analytics is growing tremendously across the world and such a strong growth pattern followed by market demand is a great opportunity for all IT Professionals. Here are a few Professional IT groups, who are continuously enjoying the benefits and perks of moving into the Big-Data domain. Developers and Architects BI /ETL/DW Professionals Senior IT Professionals Testing Professionals Mainframe Professionals Freshers Big Data Enthusiasts Software Architects, Engineers, and Developers Data Scientists and Analytics Professionals For more information, Please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)