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Hadoop / Bigdata Training

bigdata hadoop online training
bigdata hadoop online training

Hadoop Training in Tirunelveli

Looking for Hadoop Training in Tirunelveli with Certification and Placements ?

Learn Hadoop developer, Hadoop administrator, Hadoop testing courses in Tirunelveli at JayAcademy, Hadoop training and placement institute with real world projects and extensive job placement support, all designed to help you become a Hadoop Architect.

Most comprehensive Online Hadoop Training using HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. Attend this Hadoop Certification Training Course in our Classroom or Instructor-Led Online Training.

Course Highlights and Why Hadoop Training in JayAcademy

This hands-on Hadoop training course makes you proficient in tools and systems used by Hadoop experts and help you act on data for real business gain. This Hadoop course content has been developed by extensive research on 5000+ job descriptions across the globe. The focus is not what a tool can do, but what you can do with the output from the tool.

 

Career Related Program:

Extensive Program with 9 Courses

60+ Hours of Interactive Learning

Capstone Project


SYLLABUS
Hadoop SYLLABUS

1 Course Outline
  • All About Bigdata & Hadoop Drive
  • Linux, SQL, ETL, & Datawarehouse Refresh
  • Hadoop HDFS, Map Reduce, YARN Distributed Framework
  • NOSQL – For realtime data storage and search using HBASE & ELASTIC SEARCH
  • Visualization & Desktop – Jibana with Elastic search Integration using Spark
  • Robotic Process Automation (RPA) Using Linux & Spark
  • In Memory stream for Fast Data, Realtime Streaming & Data Formation using Spark, Kafka, Nifi.
  • Reusable Framework creation with logging Framework
  • Cluster formation creation in Cloud environments
  • SDLC, Packaging & Deployment in Bigdata Platform
  • Project execution with Hackathon & Test.
  • Job submission & Orchestration with Scheduling using Oozie
2 Overview of BigData
  • Evolution of Data
  • Introduction
  • Classification
  • Size Hierarchy
  • Why Hadoop is Trending
  • I0T, Devops, Cloud Computing, Enterprise Mobility
  • Challenges in Hadoop
  • Characteristics
  • Tools for Hadoop
  • Why Hadoop draws attention in IT Industry
  • What do we do with Hadoop
  • How Hadoop can be analyzed
  • Typical Distributed System
  • Draw backs in Traditional
  • Distrubited Systems
  • Bigdata tools
3 Linux Foundation
  • History and Evolution
  • Architecture
  • Development Commands
  • Env Variables
  • File Management
  • Directories Management
  • Admin Commands
  • Advance Commands
  • Shell Scripting
  • Groups and User managements
  • Permissions
  • Important directory structure
  • Disk utilities
  • Compression Techniques
  • Misc Cornmands
  • Kernel, Shell
  • Terminal, SSH, GUI
  • Hands On Exercises
4 Linux Scripting
  • Automation process using shell scripting
  • Integration of hadoop Eco systems with Linux scripting
  • Looping, conditional, vars methods
  • Key Differences between Linux & Windows
  • Kernel
    • What is the Purpose of Kernel?
    • How Kernel Works?
    • Find Kernel
  • Shell
    • What is the Purpose of Shell?
    • Types of Shell
    • Environment Variables in Shell
    • Hands On Exercises
  •  
5 Hadoop HDFS
  • Name node Federation
  • Hadoop version s
  • Anatomy of File Read/Write
  • Hadoop Ouster Formation in VM, Sandbox & GCP Cloud
  • Cluster formation & sizing guide
  • Hadoop Commands Hands-on
  • Hadoop admin hands-on
  • HDFS integration with Lima shell
  • HDFS additional Use cases
  • Data Integrity
  • Serialization
  • Compression techniques
  • Data ingestion to HDFS using different ecosystems
  •  
6 Hive
    • Introduction to Hive
    • Architecture
    • Hive Vs RDBMS Vs NOSQL
    • Detailed Installation (Metastore, Integrating with Hue)
    • Starting Metastore and Hive Server2
    • Data types (Primitive, Collection Array, Struct, Map)
    • Create Tables (Managed, External, Temp)
    • DML operations (load, insert, export)
    • Exploring Indexes
    • HQL Automation using shell scripts
    • Managed Vs External tables
    • HOL Queries using end to end usecases
    • Hive analytical and Hierarchial queries

COURSE DURATION

Regular Track (70 Hours)
35 Days – 2 Hours per day
Weekend Track
12 Weekends – 3 Hours per day
Fast Track
10 Days – 6+ Hours per Day

FAQ

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Why should i learn software testing at Jay Academy?
  • Big Data Hadoop Training at JayAcademy is designed & conducted by Industry experts with 10+ experience in the Testing field
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students.
  • In-depth Course coverage for 60+ Hours
is JayAcademy support me with placement after the Hadoop course?
  • Jay Academy has a Dedicated Placement Officer to support the students with Placement assistance
  • 100% Placement Assitance.
  • The Placement cell helps the students with various mock interviews and group discussions training session for them to face the interview with confidence
How to enroll Hadoop course at JayAcademy?

You can enroll by contacting our support number 9944532954 or you can directly walk into our office.

or chat with us on whatsapp:

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What are the pre-requisites for learning Hadoop training?

 As such, there is no prerequisite for undertaking this training. 

However, it is highly desirable if you possess the following skills sets: 

 

  • Mathematical and Analytical expertise
  • Good critical thinking and problem-solving skills
  • Technical knowledge of Python, R and SAS tools
  • Communication skills

ENROLL NOW

Best Industry Expert Training with 100 % Placements.