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Hadoop Training Courses

Courses / Hadoop Training Courses

Hadoop Training in Porur, Chennai


Hadoop by Apache is a cluster of many open source softwares that helps with using a network of many devices to solve problems involving huge amounts of data and computational requirements. ACTE provides the Best Hadoop training at Porur, Chennai. This course is of at most demand in today’s technology. Learning this course at ACTE will give your resume the boost it needs.

Hadoop is an open source venture by Apache utilized for capacity and preparing of huge volume of unstructured information in a circulated domain. Hadoop can scale up from single server to a huge number of servers. ACTE provides the best Hadoop training institution in Porur, Chennai. Hadoop structure is utilized by huge goliaths like Amazon, IBM, New York Times, Google, Facebook, Yahoo and the rundown is developing each day. Because of the bigger ventures organizations make for Big Data the requirement for Hadoop Developers and Data Scientists who can investigate the information expands step by step. Our training for Hadoop course at Porur,Chennai is provided effectively by experts from various MNC’s. Our training is rather practical than theoretical. Our trainers show special care to the proper understanding of the candidates and provide necessary assistance.

We have training in weekday, weekend and also on the evening. The candidates can choose the batch that is most suitable for their needs. The Hadoop training at Porur, Chennai is designed specifically to satisfy all the needs and requirements of the current day technical organizations. Contact us at ACTE for further detail and a free demo.

Hadoop Training in Porur, Chennai.
Placement
Placement

The Hadoop training in Porur, Chennai at ACTE is effective. Numerous associations favor Big Data Analytics as it is important to store their enormous measure of information and recover the data when it is needed. After this, numerous different associations that have not utilized Big Data have likewise begun utilizing it in their association which makes the interest for Big Data Analytics around the local area. One of the principle favorable circumstances of Hadoop is the compensation perspectives, when you become Big Data Analyst with a legitimate preparing you may have a generally excellent bundle over a time of involvement.

Hadoop training institution with placement at Porur, Chennai highlights:

    ACTE will be an interactive learning destination for anyone who wants to enroll in Hadoop training. Here are some reasons why you need to master your Hadoop skills with us.

  • Get Trained from BI & Data Warehousing Certified Partner
  • 16+ Modules with In-depth Concepts
  • Flexible Online & Offline Classes
  • 100+ Students got Placed in IT Companies
  • Completed 250+ Batches and Counting
  • Up-to-date Advanced Course Curriculum
COURSE CONTENT:

Hadoop Training Course syllabus

  • This Course Covers 100% Developer and 40% Administration Syllabus.
  • For Hadoop Administrative,
  • Testing,
  • Analyst &
  • Custom Topic , Contact on 9383399991.

Introduction to BigData, Hadoop:-

  • Big Data Introduction
  • Hadoop Introduction
  • What is Hadoop? Why Hadoop?
  • Hadoop History?
  • Different types of Components in Hadoop?
  • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
  • What is the scope of Hadoop?

Deep Drive in HDFS (for Storing the Data):-

  • Introduction of HDFS
  • HDFS Design
  • HDFS role in Hadoop
  • Features of HDFS
  • Daemons of Hadoop and its functionality
  • o Name Node
  • o Secondary Name Node
  • o Job Tracker
  • o Data Node
  • o Task Tracker
  • Anatomy of File Wright
  • Anatomy of File Read
  • Network Topology
  • o Nodes
  • o Racks
  • o Data Center
  • Parallel Copying using DistCp
  • Basic Configuration for HDFS
  • Data Organization
  • o Blocks and Replication
  • Rack Awareness
  • Heartbeat Signal
  • How to Store the Data into HDFS
  • How to Read the Data from HDFS
  • Accessing HDFS (Introduction of Basic UNIX commands)
  • CLI commands

MapReduce using Java (Processing the Data):-

  • The introduction of MapReduce.
  • MapReduce Architecture
  • Data flow in MapReduce
  • o Splits
  • o Mapper
  • o Portioning
  • o Sort and shuffle
  • o Combiner
  • o Reducer
  • Understand Difference Between Block and InputSplit
  • Role of RecordReader
  • Basic Configuration of MapReduce
  • MapReduce life cycle
  • o Driver Code
  • o Mapper
  • o and Reducer
  • How MapReduce Works
  • Writing and Executing the Basic MapReduce Program using Java
  • Submission & Initialization of MapReduce Job.
  • File Input/Output Formats in MapReduce Jobs
  • o Text Input Format
  • o Key Value Input Format
  • o Sequence File Input Format
  • o NLine Input Format
  • Joins
  • o Map-side Joins
  • o Reducer-side Joins
  • Word Count Example
  • Partition MapReduce Program
  • Side Data Distribution
  • o Distributed Cache (with Program)
  • Counters (with Program)
  • o Types of Counters
  • o Task Counters
  • o Job Counters
  • o User Defined Counters
  • o Propagation of Counters
  • Job Scheduling

PIG:-

  • Introduction to Apache PIG
  • Introduction to PIG Data Flow Engine
  • MapReduce vs. PIG in detail
  • When should PIG use?
  • Data Types in PIG
  • Basic PIG programming
  • Modes of Execution in PIG
  • o Local Mode and
  • o MapReduce Mode
  • Execution Mechanisms
  • o Grunt Shell
  • o Script
  • o Embedded
  • Operators/Transformations in PIG
  • PIG UDF’s with Program
  • Word Count Example in PIG
  • The difference between the MapReduce and PIG

SQOOP:-

  • Introduction to SQOOP
  • Use of SQOOP
  • Connect to mySql database
  • SQOOP commands
  • o Import
  • o Export
  • o Eval
  • o Codegen etc…
  • Joins in SQOOP
  • Export to MySQL
  • Export to HBase

HIVE:-

  • Introduction to HIVE
  • HIVE Meta Store
  • HIVE Architecture
  • Tables in HIVE
  • o Managed Tables
  • o External Tables
  • Hive Data Types
  • o Primitive Types
  • o Complex Types
  • Partition
  • Joins in HIVE
  • HIVE UDF’s and UADF’s with Programs
  • Word Count Example

HBASE:-

  • Introduction to HBASE
  • Basic Configurations of HBASE
  • Fundamentals of HBase
  • What is NoSQL?
  • HBase Data Model
  • o Table and Row
  • o Column Family and Column Qualifier
  • o Cell and its Versioning
  • Categories of NoSQL Data Bases
  • o Key-Value Database
  • o Document Database
  • o Column Family Database
  • HBASE Architecture
  • o HMaster
  • o Region Servers
  • o Regions
  • o MemStore
  • o Store
  • SQL vs. NOSQL
  • How HBASE is differed from RDBMS
  • HDFS vs. HBase
  • Client-side buffering or bulk uploads
  • HBase Designing Tables
  • HBase Operations
  • o Get
  • o Scan
  • o Put
  • o Delete

MongoDB:--

  • What is MongoDB?
  • Where to Use?
  • Configuration On Windows
  • Inserting the data into MongoDB?
  • Reading the MongoDB data.

Cluster Setup:--

  • Downloading and installing the Ubuntu12.x
  • Installing Java
  • Installing Hadoop
  • Creating Cluster
  • Increasing Decreasing the Cluster size
  • Monitoring the Cluster Health
  • Starting and Stopping the Nodes

Zookeeper

  • Introduction Zookeeper
  • Data Modal
  • Operations

OOZIE

  • Introduction to OOZIE
  • Use of OOZIE
  • Where to use?

Flume

  • Introduction to Flume
  • Uses of Flume
  • Flume Architecture
  • o Flume Master
  • o Flume Collectors
  • o Flume Agents

    Project Explanation with Architecture

Course Highlights

  • Free demo classes.
  • Limited Batch Size.
  • Excellent lab facility.
  • Innovative ideas are taught by the professionals.
  • 100% placement Assurance.
  • Expert trainers will teach the students.
  • Certificates are provided to the students.

About Trainer

  • 4+ experienced in Hadoop
  • Certified trainer
  • Working in top MNC company
  • Friendly and interactive
  • Trained more than 3000 students
  • Ready to help students - 24/7
  • Strong knowledge and perfect delivery
  • On the spot doubt clarifying person

Praveen Raj
(Helical IT Solutions Pvt Limited)
4+ experience

Certifications

  • Cloudera Certified Hadoop Developer (CCD-410)
  • HDP Certified Developer (HDPCD)
  • Our Reviews

     

    ACTE 5 Star Rating: Recommended 4.9 out of 5 based on 2094 ratings.