Hadoop Training |Hadoop Online Training Course | Hadoop Certification Training

Hadoop | Big data Training

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Jovi Soft Solutions Big Data Hadoop training program helps you master Big Data Hadoop and Spark to prepare for the Cloudera CCA Spark and Hadoop Developer Certification (CCA175) test just as master Hadoop Administration. In this Big Data course, you will master Hive, MapReduce, Pig, Oozie, Sqoop and Flume and work with Amazon EC2 for cluster setup, Scala and Spark SQL, Spark structure and RDD, Machine Learning using Spark, Spark Streaming, etc.

Big Data Hadoop Online Training Objectives.

1. What is Bigdata ?

Big data training at Jovi Soft Solutions- It is actually data which is beyond storage and dealing out capacity of conventional databases. So basically this kind of data will be generated automatically using multiple sources like from mobiles, social sites, online portals and there are so many sources.
● Now where do we get this Data? What are the different sources to get this data? There are multiple sources like social network sites like facebook, twitter, LinkedIn etc from this you are getting the huge data which comes under the Big Data. Are you interested in learning advance topics on this course? We provide best Big Data Hadoop Training with live projects at an affordable price at flexible timings.
● Apart from these we also get the data from mobile devices like calls data, text data, apps data etc. So these are all comes under mobile devices. These data can be generated through mobile devices. Are you passionate in doing certifications? Jovi Soft Solutions trainings is rich in providing Big Data Hadoop Certification training by industry experts.
● Next one is Internet transactions like if we go for portal we do different kind of transactions for portals. We do certain kind of transaction like purchase some item, banking activities etc so these kind of transactions comes under Internet transactions which will be generated from e-commerce web sites
● Network Devices/ Sensors: So from these also we will generate some data like temperature, weather forecasting so this kind of information/ data will be generated. So these are all the different sources the Big Data is generating now days. . If you want to learn more about this course, we provide best Hadoop Online Training by real time experts.

2. What is Pig ?

Pig has given its own language called Pig Latin Scripting which is a Data flow language. Hive has introduced Pig which is now a day’s great project in Apache. You might be wondering, Pig has built on top of Map Reduce. So most probably Pig, Hive, Hbase these there are very important tools in Hadoop training ecosystem.

3. Who should learn Adobe Hadoop ?

There is a huge demand for skilled Big Data Hadoop professionals across the industries. We recommend this Hadoop course for the following professionals in particular:
● System Administrators and Programming Developers
● Experienced working professionals and Project Managers
● Architects, Mainframe Professionals and Testing Professionals
● Big Data Hadoop Developers eager to learn other verticals like analytics, testing and administration
● Graduates and Undergraduates eager to learn Big Data
● Business Intelligence, Analytics Professionals and Data Warehousing.

4. What are the prerequisites for learning Hadoop ?

There are no prerequisites to take up this Hadoop training course and to master Hadoop. But basics of SQL, UNIX and Java would be good to learn Big Data Hadoop.

5. How do I become a Big Data Engineer ?

This Big Data Hadoop certification training course will give you insights/analytics into the Hadoop ecosystem and Big Data tools and methodologies to prepare you for success in your role as a Big Data Engineer.

6.What does the CCA175 Hadoop certification cost?

The cost of the CCA 175 Spark and Hadoop Developer exam is USD 295

7. Characteristics of Big Data:

The Data should have some properties or certain characteristics then we can say that it is a Big Data. Want to know the best part ? So even though you have a huge data that should satisfy certain characteristics then we can call as a Big Data. Now let’s see what are those characteristics?
Basically we have 5 characteristics of Big Data. So if we satisfy these 5 characteristics that come under Big Data. First is Volume, if there is any data it should have huge size of data.
Second is Velocity, What is Velocity? Processing speed of data. If you have huge volume of Data obviously the processing speed can be increased.
Third is Variety, which means different types of Data like text data, voice data, images etc. The volume and velocity should have some value. Why Big Data come in to picture? Because we need for analytical purpose.
Fourth is Value. So if you want to do some analysis then there should be value for this data. So without having any value we need to maintain the data, no use. So if you want to store some data it should have some value and it should be used for some kind of analysis purpose. Thus Data should have some Value. Worth of Data being extracted.
Fifth is Veracity. What does it mean? How accurate is all these data. So whatever data we have extracted from multiple sources is the data how much we have activated. Sometimes we get Junk data. So among this data we need to make sure the data should be accurate.
Conclusion of Big Data Hadoop training:
Want to know the best part? Hadoop is having huge demand in the market with the exciting packages. The average package for a Hadoop Developer/ Administrator is around 12-18 LPA. So what are you waiting for? Join in Jovi Soft Solutions and book the slot for Hadoop training, Hurry Up!

Module 1 – Introduction to Big data & Hadoop (1.5 hours)

What is Big data?
Sources of Big data
Categories of Big data
Characteristics of Big data
Use-cases of Big data
Traditional RDBMS vs Hadoop
What is Hadoop?
History of Hadoop
Understanding Hadoop Architecture
Fundamental of HDFS (Blocks, Name Node, Data Node, Secondary Name Node)
Block Placement &Rack Awareness
HDFS Read/Write
Drawback with 1.X Hadoop
Introduction to 2.X Hadoop
High Availability

Module 2 – Linux (Complete Hands-on) (1 hour)

Making/creating directories
Removing/deleting directories
Print working directory
Change directory
Manual pages
Help
Vi editor
Creating empty files
Creating file contents
Copying file
Renaming files
Removing files
Moving files
Listing files and directories
Displaying file contents

Module 3 – HDFS (1 hour)

Understanding Hadoop configuration files
Hadoop Components- HDFS, MapReduce
Overview of Hadoop Processes
Overview of Hadoop Distributed File System
The building blocks of Hadoop
Hands-On Exercise: Using HDFS commands

Module 4 – Map Reduce (1.5 hours)

• Map Reduce 1(MRv1)
Map Reduce Introduction
How Map Reduce works?
Communication between Job Tracker and Task Tracker
Anatomy of a Map Reduce Job Submission
• MapReduce-2(YARN)
Limitations of Current Architecture
YARN Architecture
Node Manager & Resource Manager

Module 5-Hive (Complete Hands-on) (8 hours)

What is hive?
Why hive?
What hive is not?
Meta store DB in hive
Architecture of hive
Internal table
External table
Hive operations
Static Partition
Dynamic Partition
Bucketing
Bucketing with sorting
File formats
Hive performance tuning

Module 6 – Sqoop (Complete Hands-on) (8 hours)

What is Sqoop?
Architecture of Sqoop
Listing databases
Listing tables
Different ways of setting the password
Using options file
Sqoop eval
Sqoop import into target directory
Sqoop import into warehouse directory
Setting the number of mappers
Life cycle of Sqoop import
Split-by clause
Importing all tables
Import into hive tables
Export from hive tables
Setting number of mappers during the export

Module 7-Scala (Complete Hands-on) (12 hours)

Setup Java and JDK
Install Scala with IntelliJ IDE
Develop Hello World Program using Scala
Introduction to Scala
REPL Overview
Declaring Variables
Programming Constructs
Code Blocks
Scala Functions - Getting Started
Scala Functions - Higher Order and Anonymous Functions
Scala Functions - Operators
Object Oriented Constructs - Getting Started
Object Oriented Constructs - Objects
Object Oriented Constructs - Classes
Object Oriented Constructs - Companion Objects and Case Class
Operators and Functions on Classes
External Dependencies and Import
Scala Collections - Getting Started
Mutable and Immutable Collections
Sequence (Seq) - Getting Started
Linear Seq vs. Indexed Seq
Scala Collections - Primitive Operations
Scala Collections - Sorting Data
Scala Collections - Grouping Data
Scala Collections - Set
Scala Collections - Map
Tuples in Scala
Development Cycle - Developing Source code
Development Cycle - Compile source code to jar using SBT
Development Cycle - Setup SBT on Windows
Development Cycle - Compile changes and run jar with arguments
Development Cycle - Setup IntelliJ with Scala
Development Cycle - Develop Scala application using SBT in IntelliJ

Module 8-Getting started with Spark (Complete Hands-on) (6 hours)

What is Apache Spark & Why Spark?
Spark History
Unification in Spark
Spark ecosystem Vs Hadoop
Spark with Hadoop
Introduction to Spark’s Python and Scala Shells
Spark Standalone Cluster Architecture and its application flow

Module 9 –Programming with RDDS, DFs & DSs (Complete Hands-on) (12 hours)

RDD Basics and its characteristics, Creating RDDs
RDD Operations
Transformations
Actions
RDD Types
Lazy Evaluation
Persistence (Caching)
Module-Advanced spark programming
Accumulators and Fault Tolerance
Broadcast Variables
Custom Partitioning
Dealing with different file formats
Hadoop Input and Output Formats
Connecting to diverse Data Sources
Module-Spark SQL
Linking with Spark SQL
Initializing Spark SQL
Data Frames &Caching
Case Classes, Inferred Schema
Loading and Saving Data
Apache Hive
Data Sources/Parquet
JSON
Spark SQL User Defined Functions (UDFs)

Module 10-KAFKA & Spark Streaming (Complete Hands-on) (5 hours)

Getting started with Kafka
Understanding Kafka Producer and Consumer APIs
Deep dive into producer and consumer APIs
Ingesting Web Server logs into Kafka
Getting started with Spark Streaming
Getting started with HBASE
Integrating Kafka-Spark Streaming-HBASE

Module 11 – Spark on Amazon Web Services (AWS)(Complete Hands-on) (5 hours)

Introduction
Sign up for AWS account
Setup Cygwin on Windows
Quick Preview of Cygwin
Understand Pricing
Create first EC2 Instance
Connecting to EC2 Instance
Understanding EC2 dashboard left menu
Different EC2 Instance states
Describing EC2 Instance
Using elastic IPs to connect to EC2 Instance
Using security groups to provide security to EC2 Instance
Understanding the concept of bastion server
Terminating EC2 Instance and relieving all the resources
Create security credentials for AWS account
Setting up AWS CLI in Windows
Creating s3 bucket
Deleting root access keys
Enable MFA for root account
Introduction to IAM users and customizing sign in link
Create first IAM user
Create group and add user
Configure IAM password policy
Understanding IAM best practices
AWS managed policies and creating custom policies
Assign policy to entities (user and/or group)
Creating role for EC2 trusted entity with permissions on s3
Assigning role to EC2 instance
Introduction to EMR
EMR concepts
Pre-requisites before setting up EMR cluster
Setting up data sets
Setup EMR with Spark cluster using quick options
Connecting to EMR cluster
Submitting spark job on EMR cluster
Validating the results
Terminating EMR Cluster

1. Does Jovi Soft Solutions offer job assistance ?

Jovi Soft Solutions actively provides placement assistance to all learners who have successfully completed the Big Data Hadoop training.

2. Do I get any discount on the course ?

Yes, you get two types of discounts. They are referral discount and group discount. Referral discount is offered when you are referred from someone who has already enrolled in our training and Group discount is offered when you join as a group.

3. Do Jovi Soft Solutions accept the course fees in installments ?

Yes, we accept payments in two installments.

4. What is the qualification of the trainer ?

The trainer is a certified consultant and has a significant amount of working experience with the technology.

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