Apache Spark Certification

Course Overview

Prologinfo offers an Apache Spark course that helps in completely understanding the basic concepts of Apache Spark and improving the technical skills for career growth. The Apache Spark training will help in making a professional in the concepts of Apache Spark and the Spark Ecosystem such as Spark SQL, Spark MLlib, Spark RODs (Resilient Distributed Datasets), Spark Streaming, and many more. You will also improve your technical knowledge by performing real-time projects and analyzing case studies of companies. During the Apache Spark training online, you will learn about the overview of big data Hadoop and Spark, a description of Scala for Apache Spark, Data frames and Spark SQL, Machine learning using Spark MLib, understanding Apache Kafka and Apache Flume, and many more. You can get a large number of job opportunities after completing this online course. When you will get Apache Spark Certification, you will get a job in a multinational company with exciting packages. Thus, this online course is also for your career growth in the future.

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 session
Provide you with Apache Spark Certification upon course completion.

Who Should take the Apache Spark Training Online

This online is suitable for students or fresher graduates. There are several other professionals who are suitable or looking for Apache Spark for their career growth are given below –

Senior IT Professionals
Mainframe Professionals
Developers and Architects
Testing Professionals
Analytics Professionals
Data Scientists

Top Hiring Company

Industry Trends

Course curriculum / Syllabus

Introduction to Spark and Hadoop platform

An overview of Spark
How to deploy Spark without Hadoop
Description of Big Data
What is Hadoop
Hadoop core components
Different cluster modes of Hadoop
Understanding in-memory MapReduce
Terminal commands of Hadoop
Characteristics of Hadoop Key
How Spark differs as compared with other frameworks?

Basics of Spark

Spark configuration
How to work with Spark Shell
Spark installation guide
Difference between executor memory and driver memory
Memory management

Spark RDD (Resilient Distributed Datasets)

What is Spark RDD?
How to create RDDs
Deep dive into Spark RDDs
RDD partitioning
Transformation and Operations in RDD
The RDD general operations
How to work with RDDs in Spark

Aggregating Data with Pair RDDs

Understanding how spark makes MapReduce operations faster
Various operations of ROD
Spark stack
MapReduce interactive operations

Spark MLib

Different types of machine learning
An overview of machine learning
Description of MLib
Several ML algorithms supported by MLib
Linear regression, and logistic regression

Spark Streaming

What is Spark Streaming
Spark Streaming workflow
Features of Spark Streaming

Spark performance

How to improve Spark performance
What are various variables in Spark such as broadcast variables and shared variables?
How to troubleshoot the performance problems
Understanding about accumulators

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 Prolog Info.

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.