Big Data Master Program

Big Data Master Program

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Big Data Masters Program to professionals who seek to dependent 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.

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Upcoming Batch Schedule for Freshers Master Program in Bangalore

New Tech Trainer provides flexible batch timings to all our students.If this schedule doesn’t match please let us know.

10-06-2021 Thu (Mon – Fri)WEEKDAYS BATCH @08:00 AM (IST)(Class 1Hr – 1:30Hrs) / Per Session Get Quotes
10-06-2021 Thu (Mon – Fri)WEEKDAYS BATCH @08:00 AM (IST)(Class 1Hr – 1:30Hrs) / Per Session Get Quotes
10-06-2021 Thu (Mon – Fri)WEEKDAYS BATCH @08:00 AM (IST)(Class 1Hr – 1:30Hrs) / Per Session Get Quotes

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About the Program

This program follows a set structure with 5core 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.

Big data Certification Course Overview

A survey from Fast Company 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.

Big Data Key Features

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Big Data Masters Program Syllabus

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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.

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

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

Spark Application Programming

  • Master Spark Context
  • 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

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

Spark Streaming

  • Understanding the Streaming Architecture – DStreams and RDD batches
  • Receivers
  • Common transformations and actions on DStreams

Module 7

  • MLlib and GraphX

SQL

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.

  • 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

Fundamentals of Linux

  • Overview of all basic commands
  • Vim editor modes
  • Filesystem hierarchy – Basic topics
  • File and directories creation
  • Grep
  • Filter commands (head,tail,more,less)
  • Creating users and groups
  • Important files related
  • Modifying,deleting users and group
  • Linux permissions
  • Basic permissions overview
  • Software management
  • Yellowdog update modifier(yum)
  • Yum commands
  • Different runlevels
  • Services and daemons

Big Data Hadoop

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.

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

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

Spark Application Programming

  • Master Spark Context
  • 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

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

Spark Streaming

  • Understanding the Streaming Architecture – DStreams and RDD batches
  • Receivers
  • Common transformations and actions on DStreams

Module 7

  • MLlib and GraphX

Hiring Companies

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Certification

We guide you to assess Microsoft Certifications like AZ-900 (Azure Fundamentals), AZ-104 (Administrator Associate), AZ-305 (Solution Architect), AZ-400 (DevOps Solutions). etc...

Azure certifications are globally recognized credentials that validate your expertise and proficiency in using Azure services. They can open doors to new job opportunities and promotions within your current organization. Azure skills are in high demand, and having a certification can give you a competitive edge in the job market.

Azure certifications require you to study and gain in-depth knowledge of Azure services, solutions, and best practices. By obtaining an Azure certification, you can validate your skills and expertise in specific Azure job roles, such as administrator, developer, architect, or data engineer. This validation can boost your confidence and provide you with a recognized credential to showcase your capabilities.

Azure certifications are often associated with higher salaries and earning potential. According to various industry reports, professionals with Azure certifications tend to earn higher salaries compared to their non-certified counterparts.

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Trainer Profile

  • More than 8+ Years of Experience.
  • Trained more than 3000+ students in past years.
  • Strong Theoretical & Practical Knowledge in the subject.
  • Always we hire Certified Professionals trainers.
  • Trainers are well connected with Hiring HRs in multinational companies.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have worked with multiple real-time projects in corporate Industries.
  • All Our Trainers are working with multinational companies such as CTS, TCS, HCL Technologies, ZOHO, IBM, HP, Microland, Infosys Technologies etc…
  • Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers.
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FAQ’s

New Tech Trainer is the best online training course provider India with 10+ years of Experienced professionals as Trainers. We will provide

  • Fully hands-on training with live projects
  • Professionals as trainers and helping on Interview preparation
  • Completed 500+ batches in short period
  • job-oriented training & Certification guidance
  • we provide best offers on all the courses.

  • Our trainers are more than 10+ years of experience in relevant technologies.
  • We choose our trainers who working on real-world industry project and who working in multinational companies. Our trainers are certified professionals in subject.
  • Trainer Trained more than 2000+ students and having Strong theoretical & practical knowledge.

  • 40+ hours course training duration
  • We are very flexible and we will arrange training's based on your timing and trainer availability

We will support on high quality resume preparation which helps you to showcase in your interview.

Our trainers will take each topic with interview scenario question which help to understand the subject and prepare you for interview process.

We will share the zoom sections where you can connect to attend the training.

Post completing the training with us, you will be having batter understanding about infra services and how to deploy/manage the infra services. By this knowledge you can clear your interview easily.

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