Spark

Spark

course

Taming Big Data with Apache Spark, hands-on

Classes : 20                  Days : 2 months                  Duration : Weekdays / Weekends

Hadoop Developer with Spark certification will let students create robust data processing applications using Apache Hadoop. After completing this course, students will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers. With Big Data being the buzzword, Hadoop certification and skills are being sought by companies across the globe. Big Data Analytics is a priority for many large organizations, and it helps them improve performance. Therefore, professionals with Big Data Hadoop expertise are required by the industry at large.

Hadoop Developer with Spark are among the world`s most in-demand and highly compensated technical roles. According to a McKinsey report, US alone will deal with shortage of nearly 190,000 data scientists and 1.5 million data analysts and Big Data managers by 2018.

Who should do this course?

This Hadoop Spark training is best suited for:

Developers

Engineers

Security Officers

Any professional who has programming experience with basic familiarity of SQL and Linux commands.

Course Objectives

The Hadoop Spark will help you learn how to distribute, store, and process data in a Hadoop cluster After completing this course, you can easily write, configure, and deploy Apache Spark applications on a Hadoop cluster Learn how to use the Spark shell for interactive data analysis Use Spark Streaming to process a live data stream Find out ways to process and query structured data using Spark SQL This Hadoop course will help you use Flume and Kafka to ingest data for Spark Streaming.

- You are willing to learn.

- Professionals entering into Big Data Hadoop program should have a basic understanding of Core programming and SQL.

- You are familiar with Hadoop Batch concepts.

- Exploring Scala

- Object-Oriented and Functional Programming

- Big Data and the need for Spark

- A deep dive into Apache Spark

- Deploying Spark in local mode

- Apache Spark deployment in different modes

- Demystifying Apache Spark

- Learning RDDs in Spark

- Spark Streaming

- Spark MLlib and Spark GraphX

- Spark SQL

- Real Life Hadoop & Spark Project

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.

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