Spark Master Course

Module 01 – Java Fundamentals
Module 02 – Object oriented programming
Module 03 – Java Collections
Module 04 – Java Packages
Module 05 – Introduction to XML
Module 06 – Java Database Connectivity
Module 07 – Java Servlets
Module 08 – Java Server Page
Module 09 – Spring and Hibernate Frameworks
Module 10 – Advanced Spring and AJAX
Module 11 – Service Oriented Architecture

Tools covered

Apache Spark and Scala

24 Hours 23 Module

Scala Course Content

Module 01 – Introduction to Scala
Module 02 – Pattern Matching
Module 03 – Executing the Scala Code
Module 04 – Classes Concept in Scala
Module 05 – Case Classes and Pattern Matching
Module 06 – Concepts of Traits with Example
Module 07 – Scala–Java Interoperability
Module 08 – Scala Collections
Module 09 – Mutable Collections Vs. Immutable Collections
Module 10 – Use Case Bobsrockets Package

Spark Course Content

Module 11 – Introduction to Spark
Module 12 – Spark Basics
Module 13 – Working with RDDs in Spark
Module 14 – Aggregating Data with Pair RDDs
Module 15 – Writing and Deploying Spark Applications
Module 16 – Parallel Processing
Module 17 – Spark RDD Persistence
Module 18 – Spark MLlib
Module 19 – Integrating Apache Flume and Apache Kafka
Module 20 – Spark Streaming
Module 21 – Improving Spark Performance
Module 22 – Spark SQL and Data Frames
Module 23 – Scheduling/Partitioning

Tools covered

Python

42 Hours 12 Module

Module 01 – Python Environment Setup and Essentials
Module 02 – Python language Basic Constructs
Module 03 – OOP concepts in Python
Module 04 – Database connection
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing
Module 07 – Matplotlib for data visualization
Module 08 – Pandas for data analysis and machine learning
Module 09 – Exception Handling
Module 10 – Multi Threading & Race Condition
Module 11 – Packages and Functions
Module 12 – Web scraping with Python

Tools covered

Pyspark

24 Hours 13 Module

Module 01 – Introduction to the Basics of Python
Module 02 – Sequence and File Operations
Module 03 – Functions, Sorting, Errors and Exception, Regular Expressions, and Packages
Module 04 – Python: An OOP Implementation
Module 05 – Debugging and Databases
Module 06 – Introduction to Big Data and Apache Spark
Module 07 – Python for Spark
Module 08 – Python for Spark: Functional and Object-Oriented Model
Module 09 – Apache Spark Framework and RDDs
Module 10 – PySpark SQL and Data Frames
Module 11 – Apache Kafka and Flume
Module 12 – PySpark Streaming
Module 13 – Introduction to PySpark Machine Learning

Tools covered

Databricks Spark

20 Hours 6 Module

Module 01 – Databricks Spark

Tools covered

Spark Using Java

6 Hours 2 Module

Module 01 – Spark Using Java

Tools covered

MongoDB

24 Hours 9 Module

Module 01 – Introduction to NoSQL and MongoDB
Module 02 – MongoDB Installation
Module 03 – Importance of NoSQL
Module 04 – CRUD Operations
Module 05 – Data Modeling and Schema Design
Module 06 – Data Management and Administration
Module 07 – Data Indexing and Aggregation
Module 08 – MongoDB Security
Module 09 – Working with Unstructured Data

Tools covered

Linux Admin

12 Hours 12 Module

Module 01 – Linux Installation and Initialization (Automated)
Module 02 – Package management & Process monitoring
Module 03 – Services, Utilities, Important Files and Directories
Module 04 – Understanding SystemD
Module 05 – Linux User Administration
Module 06 – File System Management (Generic & LVM)
Module 07 – Advanced File System Management (Software RAID)
Module 08 – Server-Client Configurations (FTP / SFTP / HTTP)
Module 09 – Configuring Samba and SMTP
Module 10 – Firewall & IP Tables
Module 11 – Database Configuration (MySQL / Mariadb)
Module 12 – Using Control Panels to Manage Linux Servers (Webmin)

Tools covered

Free Career Counselling

We are happy to help you 24/7

Project Work

Projects will be a part of your Spark Master’s program to consolidate your learning. It will ensure that you have real-world experience in Spark.

Movie Recommendation System

The project is designed to let you deploy Apache Spark and work with Spark MLLib. Also get to perform regression, clustering, dimensionality reduction, and collaborative filtering to build a movie recommendation system.

Tweet Analysis with Twitter API Integration

Learn to analyze tweets by integrating Twitter API. The project also lets you use any one of the scripting languages that include Python, PHP, or Ruby to request the API and receive the output in JSON format.

Wikipedia Data Exploration with Spark SQL

This project has been included to help you learn to combine Spark SQL with ETL applications, perform real-time data analysis, deploy Machine Learning algorithms, perform batch analysis, build visualizations, and process graphs.

Facebook Dataset Analysis of a Cosmetic Brand

As a part of this project, you will have access to the statistical data sets of the brand’s Facebook page. You will also be required to use a number of techniques and methods to perform the required tasks on the data.

Work with MongoDB Java Driver

Get practical exposure to working with MongoDB Java Driver to create a table for inserting videos using Java programming language. The project also allows learners to work on documents and collection with JVM and MongoDB.

WordPress Installation on CentOS7

Create an account on WordPress as a part of the project, using Flush Privileges to flush its database. Also, learn to successfully install a PHP module. Learners can get the package from the default repositories of CentOS directly.

Library Management System

The project has been designed to let learners build a library management system and perform various functions. The functions can be anything from adding books, adding members, issuing books, to returning books, and more.

Analyzing the Naming Pattern Using Python

This real-life based project has been included in the training to allow learners to work with the United States Social Security Administration (SSA) which has made the data available on the frequency of baby names from 1880 to 2016.

Analysis on Customer Churn Dataset

The project provides real-time experience in one of the scenarios of the Telecom industry. Use Data Science and data visualization to perform real-time analysis on the reliability of the employees of the Telecom industry.

Web Scraping

The project gives a practical exposure to the applications of Python in web scraping. Also get a chance to work on various Web Scraping libraries, Beautiful Soup, Navigable String, parser, searching tree deployment, and more.

Career Transition

Nishchay Agrawal

Data Engineer | Bengaluru

Got 30 LPA Package | Fresher to Data Engineer

Intellipaat helped me to acquire a solid job in the third year of BTech. I received seven job offers, with 30 LPA as the highest CTC. Thanks to Intellipaat for making my career successful.

Fresher

Data Engineer

Yogesh Kumar

Senior Software Engineer | Gurgaon

Consultant to Tech Profile

This program helped me gain the right skills to make a career switch from a consultant to a Senior Software Engineer. The knowledge of Hadoop and the right tools was the main reason for my transition.

Associate Consultant

Senior Software Engineer

Gayathri Muralidharan

Big Data Professional | India

Software Engineer to Big Data Professional

Intellipaat has provided me with great content as per my requirement to shift from Software Engineering to Big Data. I recommend their courses to everyone who wishes to aim for a successful career transition.

Senior Software Engineer

Big Data Professional

Kushagra Chugh

Big Data Expert | India

Non-Tech to Big Data Expert

This training has helped me make a smooth career transition from a non-tech background to a Big Data Expert. My objective of gaining skills in data driven decision making after my MBA was fulfilled.

Deputy Manager

Big Data Expert

Melwin Rodrigues

Data Scientist | India

Non-Tech to Data Scientist

Becoming a Data Scientist from a Customer Service Agent was possible only due to expert guidance from Intellipaat trainers. Even after working for 10 years in customer care, I am a Data scientist today.

Customer Service Agent

Data Scientist

Ankit Kumar

Data Scientist | Delhi

B.Com Graduate to Data Scientist

Intellipaat has given me the confidence that anyone who aspires can become a Data Scientist with its rich course and expert guidance. I managed to switch from a non-tech education background to a Data Scientist.

B.com Graduate

Data Scientist

Shehzin Mulla

Marketing Data Analyst | India