Hadoop Training is an online course designed to make you an expert in using BIG DATA HADOOP and learn all that is required to build Hadoop Ecosystem. Training enables you to excel the open-source software framework.
The Apache Hadoop is an open source software and highly scalable distributed platform that enables applications to run on thousands of nodes involving thousands of terabytes of data. It can efficiently process large volume of unstructured data in relatively less time. MapReduce decomposes the data into map to reduce tasks and schedules for remote execution on data nodes. Big Data Hadoop Training curriculum is designed to briefly explain the concepts of HDFS and map reduce and also teach how to write map reduce programs and Implement it in HBase. Assimilate to write Hive and pig scripts. Inherit the advantages of Hadoop sqoop, how to run scripts to transfer data between Hadoop and RDBMS
HADOOP TRAINING OVERVIEW
Our objective is to deliver extensive training so that our students acquire a complete knowledge of Big Data hadoop Ecosystem. We guide students to emerge as data analyst in IT industry. Our Hadoop Training will cover real-time scenarios/usecases which will help the learners to understand the concepts very easily and will help them clear hadoop certification examinations like Cloudera certified Developer .. etc.
Hadoop Training Curriculum
Need For Big Data Hadoop
In first session, we will introduce you to Hadoop, enlightening you on why hadoop, the existing traditional systems and hadoop Vs traditional systems.
Introduction to Big Data hadoop
Problem with existing traditional system
Requirements for new approach
Comparing SQL databases and NOSQL(Hadoop).
Hadoop Training Basic Concepts
By the end of this session, you will get an overview about Hadoop and how to configure Hadoop.
An Overview of Hadoop
Configuring a Hadoop in Ubuntu OS
First example in Hadoop.
To become a Hadoop Expertise and get the Certification, it is mandatory to fulfill the following criteria:
a) Apache Hadoop was born out of a need to process an avalanche of big data. Hadoop has moved far beyond its beginnings in web indexing and is now used in many industries for a huge variety of tasks that all share the common theme of lots of variety, volume and velocity of data – both structured and unstructured.
b) It is now widely used across industries, including finance, media and entertainment, government, healthcare, information services, retail, and other industries with big data requirements.
c) Hadoop skills are in demand. There is an urgent need for IT professionals to keep themselves in trend with Hadoop and Big Data technologies and hence we support you to boost your career in Big analytics.
d) Apache Hadoop Certification Exam provides you with means to ramp up your career and gives you the following advantages:
1. Accelerated career growth.
2. Increased pay package due to Hadoop skills.
e) To know more about certification Click Here
There are no prerequisites for this course or to take the Big Data Hadoop Examination. But, you need a basic knowledge on Core Java and SQL.
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. ARVY verifies their technical background and expertise.
We record each LIVE class session you undergo through and we will share the recordings of each session/class.
Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
The Training itself is Real-time Project Oriented.
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
There are some Group discounts available if the participants are more than 2.