Big Data Masters Program

Big Data Masters Program

Big Data Masters Program

Big Data Masters Program to professionals who seek to dependant on their knowledge in the field of Big Data. It makes you proficient in tools and systems used by Big Data experts. It includes training on Hadoop and Spark, Java Essentials, and SQL. The program is customized based on current industry standards that comprise of major sub-modules as a part of the training process. This program is designed by the industry experts to provide hands-on training with tools that are used to speed up the training process.

About the Program

This program follows a set structure with 4 core courses. It makes you an expert in key technologies related to Big Data. At the end of each core course, you will be working on a real-time project to gain hands-on expertise. By the end of the program, you will be ready for seasoned Big Data job roles.

Learning Path Curriculum

Software Professionals working in outdated technologies, JAVA Professionals, Analytics Professionals, ETL Professionals, Data warehousing Professionals, Testing Professionals, Project Managers can undergo our Hadoop training in Pune, Mumbai, and Thane and make a career shift. Our Big Data Master Training will give hands-on experience to you to meet the demands of industry needs.

Batch Schedule for Big Data Masters Program

Goals InfoCloud Technologies provides flexible timings to all our students. Here are the Big Data Masters Program in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

11-07-2019 Starts Coming Thursday (Monday – Friday)08:00 AM (IST)Course Fees

15-07-2019 Starts Coming Monday (Monday – Friday)08:00 AM (IST)Course Fees

13-07-2019 Starts Coming Saturday (Saturday – Sunday)11:00 AM (IST)Course Fees

13-07-2019 Starts Coming Saturday (Saturday – Sunday)10:00 AM (IST)Course Fees

Training will cover java architecture and make you expert in developing the code with various data types, conditions, and loops.It will also cover memory management is handled in java and help you create a java project in Eclipse and execute it.

Core Java Course Syllabus
  • Data types and operators
  • Control statements
  • Classes and objects
  • Constructors and methods
  • Interfaces and packages
  • Method overloading and overriding
  • Inheritance
  • Exception handling
  • Generics
  • Enumerations
  • Annotations
  • The enhanced for loop
  • Varargs (variable-length arguments)
  • Multithreading
  • The I/O classes
  • Networking
  • The Collections Framework

Our SQL Training aims to teach beginners how to use the SQL in RDBMS. SQL Training provided by real-time corporate experts. SQL Training by top industry professionals and standards are certified by Oracle Corporation.

Oracle SQL Training Syllabus

  • Introduction to Oracle Database
  • Retrieve Data using the SQL SELECT Statement
  • Learn to Restrict and Sort Data
  • Usage of Single-Row Functions to Customize Output
  • Invoke Conversion Functions and Conditional Expressions
  • Aggregate Data Using the Group Functions
  • Display Data From Multiple Tables Using Joins
  • Use Sub-queries to Solve Queries
  • The SET Operators
  • Data Manipulation Statements
  • Use of DDL Statements to Create and Manage Tables
  • Other Schema Objects
  • Control User Access
  • Management of Schema Objects
  • Manage Objects with Data Dictionary Views
  • Manipulate Large Data Sets
  • Data Management in Different Time Zones
  • Retrieve Data Using Sub-queries
  • Regular Expression Support

Learn how to use Hadoop from beginner level to advanced techniques which are taught by experienced working professionals. With our Hadoop Training, you’ll learn concepts in expert level with practical manner.

  • Big Data – Challenges & Opportunities
  • Installation and Setup of Hadoop Cluster
  • Mastering HDFS (Hadoop Distributed File System)
  • MapReduce Hands-on using JAVA
  • Big Data Analytics using Pig and Hive
  • HBase and Hive Integration
  • Understanding of ZooKeeper
  • YARN Architecture
  • Understanding Hadoop framework
  • Linux Essentials for Hadoop
  • Mastering MapReduce
  • Using Java, Pig, and Hive
  • Mastering HBase
  • Data loading using Sqoop and Flume
  • Workflow Scheduler Using OoZie
  • Hands-on Real-time Project

Apache Spark is created for in-memory computing for lightning speed processing of applications. Apache Spark is basically a processing engine built with the objective of quicker processing, ease of use and better analytics.

Module 1: Getting Familiar with Spark

  • Apache Spark in Big Data Landscape and purpose of Spark
  • Apache Spark vs. Apache MapReduce
  • Components of Spark Stack
  • Downloading and installing Spark
  • Launch Spark

Module 2: Working with Resilient Distributed Dataset (RDD)

  • Transformations and Actions in RDD
  • Loading and Saving Data in RDD
  • Key-Value Pair RDD
  • MapReduce and Pair RDD Operations
  • Playing with Sequence Files
  • Using Partitioner and its impact on performance improvement

Module 3: Spark Application Programming

  • Master SparkContext
  • Initialize Spark with Java
  • Create and Run Real-time Project with Spark
  • Pass functions to Spark
  • Submit Spark applications to the cluster
Module 4: Spark Libraries

Module 5: Spark configuration, monitoring, and tuning

  • Understand various components of Spark cluster
  • Configure Spark to modify
  • Spark properties
  • environmental variables
  • logging properties
  • Visualizing Jobs and DAGs
  • Monitor Spark using the web UIs, metrics, and external instrumentation
  • Understand performance tuning requirements

Module 6: Spark Streaming

  • Understanding the Streaming Architecture – DStreams and RDD batches
  • Receivers
  • Common transformations and actions on DStreams
Module 7: MLlib and GraphX

Big Data Jobs Out Look

A survey from FastCompany reveals that for every 100 open Big Data jobs, there are only two qualified candidates. Are you ready for the Shift?

Big Data Analytics job has become a trending one currently and it is believed to have a great scope in future as well. There is a survey which states Big Data Management and Analytics job opportunities has been increased in 2017 when compared to the past 2 years.
 

FAQ's

Masters Program is a structured learning path recommended by leading industry experts and ensures that you transform into an expert Big Data Master.Being a Big Data Expert requires you to be a master of multitude skills, and this program aims at providing you an in-depth knowledge of the entire Big Data Ecosystem.

 

Individual courses at Goals InfoCloud Technologies focus on specialization in one or two specific skills, however, if you intend to become a master in Big Data, then this is the path for you to follow.

 

Our commitment to equip you with a 360-degree understanding of the Big Data means we cover a broad array of topics to ensure you build the best foundation for success, which includes: Java Essentials Hadoop, Spark, and SQL many more.

 

The recommended duration to complete this program is 60hours, however, it is up to the individual to complete this program as per their own pace.

 

Yes, We would be providing you with the certificate of completion for every course that is a part of the learning pathway, once you have successfully submitted the final assessment and it has been verified by our subject matter experts.