COURSE FEATURES

Live Instructor LED Online Training

It would be live & interactive online session with Industry expert Instructor.

24/7 Support

We have round a clock expert technical team available for query resolution.

Lifetime LME Access

We provide lifetime Learning Management System (LMS) access which you can access from across the globe

COURSE SUMMARY

Collabera TACT’s Apache Spark corporate training helps candidates understand the Spark Framework. Training on Apache Spark will give in-depth understanding of in-memory data processing which makes spark runs much faster than Hadoop MapR.

Spark and Scala corporate training will help you learn about RDDs, various APIs on offer such as Spark Streaming, MLib, SparkSQL and GraphX. Collabera TACT’s Apache Spark corporate training is designed keeping in mind the real time requirements of corporates.

The primary beneficiary of this training can be someone who wishes to make a career in big data and wants to keep himself updated with the latest advancements in efficient processing of consistently growing data using Spark related projects. Following professionals can reap the maximum benefits from this training:

  1. Big Data Professionals
  2. Software Engineers and Software Developers
  3. Data Scientists and Data Analysts

The participants should have an understanding of the basic concepts of programming. Also having an understanding of Scala can prove to be helpful but it is not necessary.

Apache Spark and Scala Certification is an integral certification for a developer to have. In today’s world when the data is growing at unprecedented speed, there is a high requirement of analyzing this data to use it for business insights and strategies. Collabera TACT’s Spark and Scala Certification helps you with the nuances and environment of this framework. There are varied big data processing frameworks such as Hadoop, Spark and Storm etc. Though, Spark has the capability of working hundred times faster than Hadoop when it comes to streaming and processing data which makes it a preferred choice among developers for fast big data analysis.

 

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