Hadoop online training

Hadoop Online Training with Free Tutorials

Hadoop is an open source distributed processing framework that allows the user to manage data processing and storage for big data applications that are running in clustered systems in a distributed environment. It has been designed to scale up from single servers to thousands of machines, each offering local computation and storage. It is at the center of a growing ecosystem of big data technologies that are primarily used to support advanced analytics initiatives, including predictive analytics, data mining, and machine learning applications. Hadoop can handle various forms of structured and unstructured data, giving users more flexibility for collecting, processing and analyzing data than relational databases and data warehouses provide.

Hadoop Online Training

Hadoop Online Training

Why is Hadoop prominent nowadays?

1)The ability to store and process large volumes of any data quickly: In spite of the volume increases and the varieties increasing especially in social media and Internet of things. Which is the key consideration.

2)Computing power: When it comes to the computing power the distributed computing model is able to process the big data fast. The more are the computing nodes, the more is the processing power that they have.

3)Fault tolerance: When it comes to the data and application processing it is protected against any kind of hardware failure. If there is any node that goes down then the jobs are automatically redirected to the other nodes to make sure that the distributed computing nodes do not fail. Multiple copies of the data are stored automatically.

4)Flexibility: Unlike other traditional relational databases you cannot pre-process the data before storing it. You can store as much as data as you want and decide how to use it later. That will include all kind of data such as text, images, and videos.

5)Low Cost: This is the main reason for its popularity. The open source framework is free and it used commodity hardware for the storage of large quantities of data.

6)Scalability: You can easily make sure that your system grows as it can handle more data simply by adding the nodes. All that is required is little administration.

You can now avail Hadoop online training on Oho Training where you get trained by experts who are in the field for long. The course has been prepared to keep in mind the professionals who are aspiring to learn the basics of Big Data Analytics using the Hadoop Framework and become a Hadoop developer. The Training is also designed in such a way that will make you a certified Big Data practitioner by providing you rich hands-on training in the Hadoop ecosystem. The certification training will be a stepping stone for you into your Big Data journey and you will be getting an opportunity to work on various Big Data projects.

Here are the course objectives of taking up the course

  • You will be getting In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System) and the YARN & MapReduce
  • You will be getting comprehensive knowledge of various tools that fall in Hadoop Ecosystems such as the Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • Capability to ingest the data into the HDFS using Sqoop & Flume, and analyze huge datasets that are stored in the HDFS
  • Exposure to many real-world industry-based projects which will be executed online. The sample projects that you will be doing will be diverse in nature which will be covering various data sets in many domains such as banking, telecommunication, social media, insurance, and e-commerce etc.
  • Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn industry standards and best practices that are needed by the professional.

Who can take the Hadoop course

  • Software Professionals
  • Analytics Professionals
  • ETL developers
  • DBAs and DB professionals
  • Senior IT Professionals
  • Testing professionals
  • Mainframe professionals
  • Fresher Graduates who are looking to build a career in Big Data Field

There are no prerequisites to take up the course. But before you begin the training the aspirant if he has some exposure to core java, database concepts, and Linux concepts will be an added plus though not mandatory. The market for Hadoop and big data analytics is growing exponentially all over the world and this strong pattern translated into better opportunities for IT professionals. Even hiring managers are looking for certified Hadoop professionals so this is the right time to do the Hadoop Course.


  • Introduction to Big Data & Hadoop Fundamentals
  • Dimensions of Big data
  • Type of Data generation
  • Apache ecosystem & its projects
  • Hadoop distributors
  • HDFS core concepts
  • Modes of Hadoop employment
  • HDFS Flow architecture
  • HDFS MrV1 vs. MrV2 architecture
  • Types of Data compression techniques
  • Rack topology
  • HDFS utility commands
  • Min h/w requirements for a cluster & property files changes
  • Introduction to MapReduce
  • MapReduce Design flow
  • MapReduce Program (Job) execution
  • Types of Input formats & Output Formats
  • MapReduce Datatypes
  • Performance tuning of MapReduce jobs
  • Counters techniques
  • Introduction to Hive & features
  • Hive architecture flow
  • Types of hive tables flow
  • DML/DDL commands explanation
  • Partitioning logic
  • Bucketing logic
  • Hive script execution in shell & HUE
  • Introduction to Pig concepts
  • Pig modes of execution/storage concepts
  • Pig program logics explanation
  • Pig basic commands
  • Pig script execution in shell/HUE
  • Introduction to Hbase concepts
  • Introdcution to NoSQL/CAP theorem concepts
  • Hbase design/architecture flow
  • Hbase table commands
  • Hive + Hbase integration module/jars deployment
  • Hbase execution in shell/HUE
  • Introduction to Sqoop concepts
  • Sqoop internal design/architecture
  • Sqoop Import statements concepts
  • Sqoop Export Statements concepts
  • Quest Data connectors flow
  • Incremental updating concepts
  • Creating a database in MySQL for importing to HDFS
  • Sqoop commands execution in shell/HUE
  • Introduction to Flume & features
  • Flume topology & core concepts
  • Property file parameters logic
  • Introduction to Hue design
  • Hue architecture flow/UI interface
  • Introduction to zookeeper concepts
  • Zookeeper principles & usage in Hadoop framework
  • Basics of Zookeeper
  • Principles of Hadoop administration & its importance
  • Hadoop admin commands explanation
  • Balancer concepts
  • Rolling upgrade mechanism explanation



Matt Demon

Learning Scientist & Master Trainer
Matt Demon has been a professional educator
for the past 18 years. He’s taught, tutored,
and coached over 900+ students, and he
holds degrees in Computer Science
from Harvard University. He has
spent the last 7 years studying how
people learn to code and develop applications.

John Britto
Learning Scientist & Master Trainer
He has been a professional educator for
the past 17 years. He’s taught, tutored,
and coached over 700 students, and
he holds degrees in Information Technology
from Brooklyn University. He has
spent the last 8 years studying how
people learn to code and develop applications.


User Rating 0 (0 votes)


Enquire here to boost your career

REACH US +1 408-389-3603

Training QueriesDemo



Service Type
Provider Name
oHo Training,
2603,Camino Ramon Suite 250,San Ramon, CA-94583,
World Wide
Get hands on training on hadoop ecosystem. OHO training offers flexible timings to take hadoop online training. Join with our experts here to explore hadoop in advance level.