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Apache Spark and Scala

Course type:
E-learning
Duration:

32 hours 

Delivery:
Online
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Without exams

Apache Spark and Scala E-learning

Apache Spark is one of the most widely-used tools for big data and analytics, it will dominate the big data landscape by 2022 (Wikibon) and will offer promising career opportunities.

This Apache Spark and Scala certification training is designed to provide you with the expertise that is needed to become a successful Spark developer in the Hadoop ecosystem. Throughout the training you will master the skills of the Apache Spark open source framework and the Scala programming language, including Spark RDD, Spark Streaming, Spark SQL, GraphX programming and Shell Scripting Spark.

Course overview

About the course

Now is the time to pursue your career in the field of data analytics as many organisations worldwide are showing interest in big data and are adopting Spark as a solution strategy and the demand of jobs in big data industry is rising rapidly. 

During the Apache Spark and Scala certification training you will also get comprehensive 
knowledge on Scala Programming language, HDFS, Sqoop, FLume, Spark GraphX and Messaging System such as Kafka. 

You will also be working on a several real-life industry-based cases and projects incorporating big data and Spark tools as part of a solution strategy. 

What's covered?

The course covers the following topics:

  • Lesson 1 - Introduction to Spark 
  • Lesson 2 - Introduction to programming in Scala 
  • Lesson 3 - Using RDD for creating applications in Spark 
  • Lesson 4 - Running SQL queries using Spark SQL 
  • Lesson 5 - Spark streaming 
  • Lesson 6 - Spark ML programming 
  • Lesson 7 - Spark GraphX programming 

Duration

32 hours 

Target audience

The Apache Spark and Scala certification is suitable for:

  • Professionals aspiring for a career in the field of real-time big data analytics
  • Analytics and research professionals
  • IT developers and testers
  • Data scientists
  • BI and reporting professionals

Pre-requisites

The prerequisites for this course are:

  • Fundamental knowledge of any programming language
  • Basic understanding of any database, SQL and query language for databases
  • Working knowledge of Linux- or Unix-based systems (not mandatory)
  • Certification training as a Big Data Hadoop developer (recommended)

Learning objectives

By the end of the course you will be able to:

  • Understand the limitations of MapReduce and the role of Spark in overcoming these limitations
  • Understand the basics of the Scala programming language and its features
  • Proficiently install Spark as a standalone cluster
  • Efficiently use Resilient Distributed Datasets (RDD) for creating applications in Spark
  • Master SQL using SparkSQL
  • Gain a comprehensive understanding of Spark streaming features
  • Master the features of Spark ML and GraphX programming

What's included?

Apache Spark is offered by Simplilearn, a partner of ILX Group.

Materials

  • 15 hours of self-paced video
  • Includes downloadable ebooks and 30 demos

Duration of access

12 months online access to accredited e-learning

Exam information

ILX does not provide the exam for this course.

To become a Certified Apache Spark and Scala professional it is mandatory to fulfill both of the following criteria:

  • You must complete a project that is evaluated by the lead trainer. Your project may be submitted through the learning management system (LMS). If you have any further issues you may look to our Online Classroom Training, where you may attend any of the ongoing batches of Apache Spark and Scala Certification Training classes to get help with your project.
  • A minimum score of 80 percent is required to pass the online examination. If you don’t pass the online exam on the first attempt, you are allowed to retake the exam once.

At the end of the Scala course, you will receive an experience certificate stating that you have three months experience implementing Spark and Scala.

 

Exam format

The Apache Spark & Scala certification exam is 120 minutes long and comprises 60 single or multiple choice questions. The passing score for the exam is 80% (i.e you must answer 48 questions correctly).

Online self-learning:

  • Complete 85% of the course
  • Complete one project and one simulation test with a minimum score of 60%
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