Apache Spark With Scala

As an industry expert one should completely understand how important Apache Spark with Scala is for Big data. The Apache Spark program course is designed keeping in mind the necessity to write programs in a concise and elegant way. Attending this course gives you a practical approach to Spark programming, RDD Transformations, and Actions. You will also know and use Spark - SQL on Spark on YARN. As a professional, you will also get acquainted with some advanced concepts Spark Streaming, MLlib.


  2000 Ratings

               10000 Participants

Group Discount

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Over 32 hours of Instructor-Led Training to understand Apache Spark

Comprehensive Hands on training based on real time data to better prepare for Scala Exam

Excellent guidance from our industry experts through live projects & Comprehensive Training Material

Apache Spark With Scala International Certification Assistance

Course Overview


This 4 days course provides aspirants knowledge of Scala Programming Basics and Apache Spark. It covers all the fundamentals you need to write complex Spark applications. Get a clear understanding of the limitations of MapReduce and the role of Spark in overcoming these limitations. Expertise in using RDD for creating applications in Spark. Gain a thorough understanding of Spark Streaming features. Understand the fundamentals of Scala Programming Language and its features. Mastering SQL queries using SparkSQL

Course Curriculum


  • Developers
  • Senior IT Professionals
  • Data Analysts
  • Software Architects
  • Database Administrators
  • Data Scientists
  • AI Professionals

Course Objectives

  • Learn to write concise programming using Apache Spark with Scala Certification Course
  • Course elaborates what is Apache Spark
  • Understand the functioning of RDD
  • Implementing and executing Spark SQL through Scala Training Program
  • Advanced concepts like Spark Streaming, MLlib Introduction mastered through Apache Spark

Related Training

  • Big Data – Hadoop Developer
  • Machine Learning
  • Data Science
  • Data Analyst


To get certified in this course, you need to attend one complete batch of comprehensive hands-on training based on real data and complete one project in Spark.You will be awarded using Vinsys Certified Spark Professional.

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Training Options


Instructor-Led Session

  • 1-day Instructor-led Online Training
  • Experienced Subject Matter Experts
  • Approved and Quality Ensured Training Material
  • 24*7 Leaner Assistance And Support


Customized to your team's need

  • Customized Training Across Various Domains
  • Instructor-Led Skill Development Program
  • Ensure Maximum ROI for Corporates
  • 24*7 Learner Assistance and Support

Course Outline

  • Introduction
  • Flow Controls
  • Functions and operators
  • OOPs concepts
  • Array and Collection
  • Spark Architecture & Data Model
  • Spark Scala Shell
  • Introduction to RDDs
  • Spark-SQL: Querying flat files using Dataframes
  • Spark SQL metastore, Hive compatibility
  • Support for UDFs
  • Spark on YARN
  • Spark Streaming
  • Performance Tuning Spark Applications
  • MLlib Introduction
  • Use cases: Spark in the reality

Course Reviews


You should know programming language like java, sql, networking concepts

You need not require to know hadoop for learning Spark with Scala

No, but if you run on a cluster, you will need some form of shared file system (for example, NFS mounted at the same path on each node). If you have this type of filesystem, you can just deploy Spark in standalone mode

Apart from Scala, you can learn Spark using Java and Python.

  • After undergoing our Spark with Scala, one can undergo one of below available international   certifications. For exact Certification Program name and other details kindly visit the link   provided
  • MapR Certified Spark Developer: https://mapr.com/training/certification/mcsd/
  • HortonWorks Spark Developer: https://hortonworks.com/services/training/certification/hdp-     certified-spark-developer/
  • Databricks Spark Developer: https://databricks.com/training-overview/certified-spark-   developer