Apache Spark and Scala Certification Training

Live Online & Classroom Certification Training

Apache Spark is a fast, in-memory distributed collections framework written in Scala. In this Apache Spark & Scala course, you will understand Scala's programming model in detail apart from gaining exposure to near-to-real-time data analytics through hands-on examples in Spark and Scala.

(4.2) 65 Learners
Instructed by SPRINGPEOPLE

No Public/Open-house class on the topic scheduled at the moment!

Course Description


Apache Spark and Scala training module teaches you to create applications in Spark with the implementation of Scala programming. It provides a clear comparison between Spark and Hadoop and covers techniques to increasing your application performance and enabling high-speed processing.


After the completion of 'Apache Spark & Scala' course, you will be able to:

  • Understand Scala and its implementation
  • Apply Lazy values, Control Structures, Loops, Collection, etc.
  • Learn the concepts of Traits and OOPS in scala
  • Understand Functional programming in scala
  • Get an insight into the BigData challenges
  • How spark acts as a solution to these challenges
  • Install spark and implement spark operations on spark shell
  • Understand what are RDDs in spark
  • Implement spark application on YARN (Hadoop)
  • Analyze Hive and Spark SQL Architecture

Duration - 5 Days


  • Basic familiarity with Linux or Unix
  • Intermediate-level of Hadoop

Course Curriculum

Expand All
  • Why second generation frameworks?
  • Introduction to Spark
  • Scala shell
  • Spark Architecture
  • Spark on Cluster
  • Spark Core
  • SparkSQL
  • Spark Streaming
  • Cluster Managers
  • Spark Users
  • What is use of Spark
  • Spark Versions
  • Spark Storage Layers
  • Download Spark
  • A. Why second generation frameworks?
  • B .The Driver
  • C. Executors
  • D. Execution components: jobs, tasks, stages
  • E. Spark Web UI
  • A. Standalone Cluster Manager
  • B .Hadoop YARN
  • C. Apache Mesos
  • D. Amazon EC2
  • E. Which Cluster Manager?
  • F. Spark-submit for deploying applications
  • G. Using MAVEN for JAVA SPARK application
  • H. Using SBT for A SCALA Application
  • Different file formats:

  • Text files
  • Json
  • Comma ,tab separated values
  • Object files
  • Sequence files
  • Input /output formats
  • SPARKSQL for Structured data
  • What is RDD
  • Why RDD?
  • RDD operations
  • Transformations
  • Actions
  • Lazy Evaluation
  • Basic RDD’s
  • Caching
  • Converting between RDD types
  • Spark Api supports Python, Java, Scala
  • Working with Key, value pairs
  • Create key, value pair RDD’s
  • Aggregations
  • Grouping data
  • Joins
  • Sorting data
  • RDD’s partitioner
  • Operations from partitioning
  • Page Rank example
  • Aggregate
  • Fold
  • Map partitions
  • Glom
  • Accumulators
  • Broadcasters
  • Anatomy of a spark RDD
  • Splits
  • Localization
  • Serialization
  • Transformations Vs. Actions
  • Spark sql in applications
  • Spark sql initialization
  • Spark sql basic query
  • Schema RDD’s
  • Caching
  • Load data from hive
  • Load data from json
  • Load data from RDD’s
  • Beeline
  • Long-lived tables and queries
  • Query hands-on
  • Spark sql UDF’s
  • Performance
  • Streaming Architecture
  • Two types of Transformations

  •    1. Stateless Transformations
  •    2. Stateful Transformations
  • Streaming UI
  • Sources: Input
  • Core Sources
  • Additional Sources
  • Multiple Sources
  • Cluster Sizing
  • Driver Fault Tolerance
  • Worker Fault Tolerance
  • Receiver Fault Tolerance
  • Operation 24/7
  • Performance
  • Garbage collection
  • Memory Usage


SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready take up these certification exams and pass with flying colours.



SpringPeople Corporate Learning Center

About the Instructor

Founded in 2009, SpringPeople is a global premier eLearning marketplace for Online Live, Instructor-led classes in the region. It is a certified training delivery partner of leading technology creators, namely Pivotal, Elastic, Lightbend, EMC, VMware, MuleSoft, RSA, and... Read More

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SPRINGPEOPLE SpringPeople Trainer

Madhav NV

Product Manager
Sonata Software
Course Material:
Class Experience:

SPRINGPEOPLE SpringPeople Trainer

Ashok Reddy

Course Material:
Class Experience:
It goog if we get real time scenarios for automation

SPRINGPEOPLE SpringPeople Trainer


Course Material:
Class Experience:
Maybe you could set Scala as a prerequisite for this course and discuss more technical details of Spark like what happens under the hood

This class is intended for participants with some prior exposure to the technology and are now looking to build up their expertise on the topic.

On successful completion of the course, participants will be eligible to sit of the related certification exam (see course overview). All participants receive a course completion certificate, demonstrating their expertise on the subject.

Total duration of the online, live instructor led sessions. Sessions are typically delivered as short lectures (2-hrs weekdays/3-hrs weekends) and detailed hands-on guidance.

Expected offline lab work hours that participants will need to complete and submit to the trainer, during and after the instructor-led online sessions.

  1. We are happy to refund full fee paid - no questions asked - should you feel that the training is not up to your expectations.
  2. Our dedicated team of expert training enablement advisors are available on email, phone and chat to assist you with your queries.
  3. All courseware, including session recordings, will always be available to access to you for future reference and rework.

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