COURSE

Spark

Spark course covers to understand the foundational concepts about spark, impact of spark in big data computation, Resilient Distributed Datasets and how in-memory management done by spark for computation & fault tolerance during processing along with lab exercise for hands-on experience.

At the end of this course, you will be able to explain Concepts of Spark, How Hadoop and Spark differs Resilient Distributed Datasets How memory is managed in Spark Spark manages fault tolerance

To successfully complete a course you must score 80% or higher in final assessments by IHTC that covers all concepts. Upon successful completion of the course, IHTC certificate of recognition would be provided to the participants who are completed successfully.

Course Cost
For more details, contact us
Timeline
Approx. 2 months
Skill Level
Advanced
Included in Course
  • Live Classroom Training
  • Life Time Access
  • 2 Real World Data Problems - Solve & Practice
  • Highly Experienced Faculties
  • Exclusive Course Content
  • Real World CaseStudy
  • Career Oriented hands on exercises
  • 20 Hrs Coding Practices

Target Audience

This course assumes extensive iOS experience. Specifically, you've built several apps, know how to use core iOS libraries, and are familiar with networking and MVC design principles. Introduction to iOS App Development with Swift, UIKit Fundamentals, and iOS Networking with Swift are good courses to take if you need to familiarize yourself with these concepts.

The course also assumes basic familiarity with git. Specifically, you will need to be able to clone git repositories and checkout branches specific to each lesson. How to Use Git & GitHub is a great option if you need to brush up on these skills.

You will need access to a Mac computer running OS X 10.9 or later. However, you do not need an iPad or iPhone to complete the activities. All exercises can be completed using the iOS simulator built into Xcode.

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