Big Data and Hadoop now the popular expression on everybody's tongue in the database business was a totally obscure procedure in mid-2000 when it was in its earliest phases. What information investigators and additionally producers had acknowledged by the start of the new thousand years was that regardless of how quick their machines could prepare, the sheer development in the volumes of database itself would imply that machines would never have the capacity to keep up with the data.

The answer for the big data issue lay outside of the extent of expanding machine speeds. Hadoop was produced as an edge work that would use lessened registering to process information; implying that regardless of the extent of the information or the volume of calculations required the framework would have the capacity to handle them. This was accomplished by the utilization of Hadoop Distribution Files System (HDFS) which as its name would recommend stores the information in groups over various diverse machines taking out the requirement for RAID stockpiling on any one machine.

What is Big Data Hadoop Online Tutorial all about?

If you are eager to become a successful and known Hadoop developer than this tutorial is must for you. The training is designed in such a way that it will equip you with all the necessary skills and knowledge to become a successful Hadoop developer. In this tutorial you will not only learn the core concepts but will also get an understanding of how to apply them in real life.

What are the objectives of this course?

When the course will finish, you will become efficient in many things like:
  • You will have a great understanding of MapReduce framework and HDFS concepts
  • Hadoop 2.x Architecture will no longer be tough for you to understand
  • You will be able to setup a proper Hadoop Cluster
  • You will be able to write complex MapReduce program
  • You will be able to use Sqoop and Flume to load data
  • You will be able to use Hive, Pig and YARN for data analytics
  • You will be able to use Oozie to schedule jobs
  • Indexing won’t be a big term for you anymore
  • Implementation of MapReduce integration will become easier
  • Implementation of HBase integration will become easier
  • You will be able to use the best techniques to implement Hadoop development procedure

Who needs to do this course?

Big Data and Hadoop is a technology that is used in every business oriented company. So professionals who know it are benefited to a great extent. People who should go for this course are:
  • Analytics professionals
  • Software developers and architects
  • BI /ETL/DW professionals
  • Project managers
  • Graduates aiming to build a successful career around Big Data
  • Mainframe professionals
  • Testing professionals

Why to go for Big Data and Hadoop Tutorial?

There are many reasons because of which you should go for Big Data And Hadoop Online Training, some of them are:
  • Big opportunities
  • Financial growth
  • Better career growth
  • Will make you stand out of the crowd

What are the pre-requisites to go for Big Data and Hadoop Certification?

Anybody related to IT background can go for Big Data and Hadoop online training. Knowledge of Java will be advantageous although it is not a necessity.

Module 1: Preface - Big Data and Hadoop

  • Understanding Big Data and Hadoop
  • Limitations to Big Data
  • Hadoop features and Components
  • Characteristics of Big Data (Known as 3Vs of Big Data)
  • Why is Hadoop important – Key features
  • Hadoop Ecosystem

Module 2: Hadoop 2.x Cluster – Architecture, Core Components and Workflow

  • What is Hadoop Cluster Architecture
  • Difference between Hadoop and Hadoop Cluster
  • Core components of Hadoop Cluster : Client, Master
  • Techniques of loading data
  • How to configure important files to Hadoop Cluster
  • What is Typical Workflow in HDFS: where are files metadata stored, how Hadoop recovers the file on failures? How files (data) are stored in Hadoop?

Module 3: Core Components of Hadoop – Hadoop Common, Hadoop Distributed file System (HDFS) and Hadoop MapReduce.

  • Intro to Hadoop Common
  • What is HDFS
  • Hadoop 2.x cluster architecture
  • Brief knowledge of Hadoop MapReduce
  • Single node, name node, multi node cluster and set up

Module 4: Four Layers of Hadoop Ecosystem

  • Data Storage Layer
  • Data Processing Layer
  • Data Access Layer
  • Data Management Layer

Module 5: Deep Dive in Data Storage and its parts

  • HBASE - Column DB Storage
  • HBASE Architecture and its Components
  • Joining Tables and Partitioning
  • HBASE Cluster Deployment
  • HDFS - Distributed File System

Module 6: What is Hadoop MapReduce Framework?

  • Preface – MapReduce
  • MapReduce - Cluster Management
  • YARN - Cluster & Resource Management
  • YARN Workflow & Demo
  • Creating Relation between Input Splits & HDFS Blocks

Module 7: In-depth study of Hadoop Data Access

  • Sqoop – RDBMS Connector
  • Avro – RPC, Serialization
  • Mahout – Machine Learning
  • Pig (Data Flow) : Intro to Pig, Use Cases, Data Models, Pig Execution, Pig Latin Language, Pig vs. SQL, Relation between Pig and MapReduce etc.
  • Hive (SQL)

Module 8: How Hadoop Data Management Layer Works?

  • ZooKeeper – High Performance Management
  • Flume – Monitoring
  • Chukwa – Monitoring
  • Oozie – Workflow Monitoring

Module 9: Understanding of Advanced HIVE & HBASE

  • Dynamic Partitioning
  • UDF MapReduce Scripts
  • Understanding of Hive Indexes and Hive query Optimization
  • HBASE – Preface to NoSQL, Databases & HBASE
  • HBASE Architecture & Understanding Run nodes
  • HBASE Cluster

Module 10: Oozie & Hadoop project Work

  • Preface Oozie & Workflow Definitions
  • Oozie components & Scheduling with Oozie
  • Understanding of Flume & Sqoop
  • Oozie Web Console & Oozie with MapReduce
  • Oozie commands and Coordinator
  • Understanding of PIG & Hive in Oozie
  • Hadoop Demo Project & Integration of Talend with Hadoop

What is Big Data Hadoop?

Hadoop is a java based program which is used to process this large amount of data and to solve the problems arising in its handling. Big data can be defined as the large amount of data stored for later use. This data can include business transactions, information from people, social media information, daily reports and much more.

What is Visibility/Scope of Hadoop in Future?

In today’s era there are numbers of companies producing large scale of unstructured data every day, they need a technology which can store the data and produce the same in structured format. Big companies are investing a lot on their Databases to get fruitful analysis for their companies when required.

What are the pre-requisites for this course?

You need to have basis database knowledge before going for this course. As this is java driven program, so some fragment of java knowledge is also required & Java essential for Hadoop will be covered in this course.

What is live Webinar Classes?

Live webinar class are live virtual class led by expert of particular domain. It is just like class room training. You will be connected through virtual classroom and can clear all your doubts with our Instructor. You can communicate the instructor by using Audio, Video and Chat options.

In case of my absence how can I manage my class?

So you don’t need to worry if you miss your classes. You are responsibility of TechandMate to educate you on the technology you have enrolled. We will generate your learning account (LMS- Learning Management System). In case of missing the class, you will get all the recordings, presentation in your LMS and you can access the same in your leisure time.

Can I access my course module prior to join the class?

No you cannot access course module before enrollment.

Who are the Instructors / Experts / SME?

All our Instructors are experienced and working professional from IT Industry. They have rich experience on the technologies they are leading. Instructors are specially trained by our Learning & Development department to educate and become frontrunner for Live Virtual classes.

Can I see demo or sample class before registering the course?

Yes you can view the demo of class of your course. You can evaluate the teaching style of our SMEs and can further enroll for the course.

Will I get the Software?

Yes we will help you to install the software. We will provide you the link & necessary documents to download the same if it is an open source or demo version available.

Difference between Self Driven and Expert Driven learning?

Our course and training progression is vastly interred. In self-driven learning you will get the access of your LMS with all the modules and learning material available including recording of classes so that you can access it in your leisure time to learn. Expert driven learning would be live streaming webinar and our expert will clear all your doubts instantly. Self-Driven learning is almost 50% cheaper than Expert driven program. You can switch from SDL to EDL any time by paying the difference amount.

How can I access my learning tools?

Once you will enroll yourself for the course training, we will generate a LMS (Learning Management System) for you. All the course modules, learning tools will be available there.

How long I can access my learning tools?

Once you will enroll for the course you can access your learning tools for life time.

Tell me about my payment options?

You can choose any payment option as per your convenience like Credit Card, Debit Card, Net banking. For USD payment, it will be made by PayPal.

Can I convert my amount into EMI’s?

Yes you can convert your amount into EMIs.

What is the process to get the Certification of the course?

After accomplishment of all the modules, you will undergo a Project assessment. After successful submission, our official will review the same & you will be awarded with TechandMate verified Certification for the course.

Will I be working on Project?

Yes you will be working on live project.

What if I have more queries or concerns?

Our technical & Support team is always for your help and available 24x7 for you.

TechandMate certification process

At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a dataset to work.

Once you are successfully through with the project (reviewed by an expert), you will be awarded a certificate with a performance based grading.

If your project is not approved in 1st attempt, you can take additional assistance to understand the concepts better and reattempt the Project free of cost.

Shubham Bardhan
Shubham Bardhan

After wonderful experience with T&M I can truly say this is the best place to learn technologies. Amazing faculties, great technology and vision to educate people. Getting PPTs, Recordings, Lab Assignment has done it all for me. Cheers for TechandMate

Aslam Ansari
Aslam Ansari

T&M folks it was great involvement to experience your training sessions. Doing assignment on real time scenarios added quality in my learning. You are best in the industry.

Ravi Sharma
Ravi Sharma

Came to know about the practical aspect of work, the environment is like any good start up. The benefits may not be much but if you are looking for the skill set development then this place might be for you. Instructors having good amount of experience in their domain, gives the real time examples and teaches how to apply the same in your work. Learning on latest trends with the help of best technology available in the industry. Certainly TechandMate has made it Easy for me.

Jasmine Kaur
Jasmine Kaur

I thought the context was very well organized and well delivered. The overall structure in initial presentation was carried forward in more detailed discussion which made relating all the aspects of BI easier. Sufficient examples and discussions were provided.

Rakesh Chauhan
Rakesh Chauhan

I was in dilemma when I was forecasting to learn Hadoop online. I had real misgivings to learn this way. Learning through live virtual classes and attending the class for consecutive hours looks odd. But it was other way around; I was quite keen and waiting for next weekend to learn more. Instructor paced the course quiet well and never felt bored at all.