Apache Spark Certification

Course Overview

This Apache Spark course will help you master the basics of the open-source Apache Spark framework and the Scala programming language, including Spark Streaming, Spark SQL, Machine Learning, GraphX Programming, and Spark Shell Scripting. You will also learn about the role of Spark in overcoming the limitations of Map Reduce. Our Apache Spark tutorial covers all the critical aspects from the basic level to the professional level. Our expert instructors are proactive in parting their real-time knowledge and solve your queries at any given time. This Apache Spark training program helps you deep-dive into the Spark concepts and equip you with the required skill set to handle all the real-time issues in the organization. By the end of this course, you will learn what is Apache Spark from scratch to advanced.

Apache Spark Certification Key Features

Installation and Configuration of Apache Spark
Understanding Apache Spark Architecture
Briefs on Apache Spark Python and Apache Spark Node Js
Provide you apache spark tutorial for your reference
Provide you with important Apache Spark interview questions
Guidance in building Apache Spark resume
Schedule your timings according to your convenience
One on One sessions
Provide you Apache Spark Certification upon course completion

Apache Spark Certification Key Features

This Apache Spark Certification course is beneficial for developers, software architects, data scientists, and IT professionals who want to enhance their skill set or if they want to shift to the Apache Spark Fresher’s who want to pursue a career in Apache Spark can also opt for this course.

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Course curriculum / Syllabus

Introduction to Spark and Hadoop platform

What is Hadoop platform?
Why Hadoop platform?
What is Spark?
Why spark?
Discussion on evolution of Spark

Introduction to Scala

Understanding Functional Programing Vs Object Orient Programing
Using Scalable language
Scala Overview

SPARK Environment

Configuring Apache Spark

SCALA Enivronment

Brief on JAVA Setup
Understanding SCALA Editor
What is Interprepter?
What is compiler?

Deep Dive into Scala

Benefits of Scala
Language Offerings in Scala
Type inferencing in Scala
Using Variables in Scala
Using Functions in Scala
Understanding LOOPS
What are Control Structures?
What are Vals in Scala?
What are Arrays?
What are Lists in Scala?
Using Tuples in Scala
Using Sets
Understanding Maps in Scala
What are Traits and Mixins in Scala?
Understanding Classes and Objects in Scala
Uisng First class functions
Using Clousers in Scala
Using Inheritance in Scala
What are Sub classes? With examples?
What are Case Classes?
What are Modules in Scala?
Pattern Matching in Scala
Exception Handling in Scala
What is FILE Operation in Scala?

Deep Dive into Spark

Using Spark Shell
What is Parallel Programming and how to execute it?
What is context in Spark?
What is RDD (Resilient Distributed Datasets) in Spark?
What are Transformations in Spark?
Understanding Programming with RDD (Resilient Distributed Datasets)
What are Actions in Spark?
Using Broadcast Variables in Spark?
Using Accumulators in Spark?

Spark EcoSystem

Understanding Spark Streaming
Using MLlib concepts in Spark
Using GraphX concepts in Spark
Understanding Spark SQL concepts

apache spark certification FAQ’s:

1.What is Apache Spark?

Apache Spark is an open-source framework for distributed cluster computing and a unified analytics engine for big data processing with integrated modules for streaming, graphing, SQL and machine learning.

2.What is Apache Spark uses?

It is compatible with Python, Scala, Java, and R
Integration with Hadoop as Spark is built on Hadoop distributed file system
Enable faster processing of data streams in real-time
It can run ad-hoc queries, batch processing.

3.What is Apache Spark Vs Hadoop?

Hadoop is designed for efficient batch processing, while Spark is designed for efficient real-time processing. Hadoop is a high-latency computing framework that lacks interactive space, while Spark is a low-latency computing framework that allows for interactive data processing.

4.How do I get Apache Spark Certification?

We would provide you with Spark certificate upon the completion of the course. Many leading organizations recognize our certificate. It will give you an edge in the market and would be value add to your resume.

5.What if I miss the class?

We would provide you with a recording of the session and also an apache spark tutorial for self-study.

6.Can I get a demo class?

Yes, we provide demo classes to give confidence in continuing with QTS.

7.Are you providing Job assistance?

Yes, we do provide job assistance and also help prepare for the interview by providing sample apache spark interview questions.