Hadoop Big data Training at RM Infotech Laxmi Nagar Delhi NCR
History:
In 2006, the hadoop project was founded by Doug Cutting, It is an open source implementations of internal systems which is now being used to manage and process massive data(s) volumes. In short,
With Hadoop , a large amount of data of all varieties is continually stored and added multiple processing and analytics frameworks rather than moving the data(s) because moving data is typical and very expensive.
What are the career prospects in Hadoop?
Do you know that in next 3 years more than half of the data in this world will move to Hadoop? No wonder McKinsey Global Institute estimates shortage of 1.7 million Big Data professionals over next 3 years.
Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1% -Forbes
Average Salary of Big Data Hadoop Developers is $135k (Indeed.com salary data)
According to experts –  India alone will face a shortage of close to 2 Lac Data Scientists. Experts predict, a significant gap in job openings and professionals with expertise in big data skills. Thus, this is the right time for IT professionals to make the most of this opportunity by sharpening their big data skill set.
Who should take this course?
This course is designed for anyone who:-
wants to get into a career in Big Data
wants to analyse large amounts of unstructured data
wants to architect a big data project using Hadoop and its eco system components
Why from RM Infotech
100% Practical and Job Oriented
Experienced Training having 8+ yrs of Industry Expertise in Big Data.
Learn how to analyze large amounts of data to bring out insights
Relevant examples and cases make the learning more effective and easier
Gain hands-on knowledge through the problem solving based approach of the course along with working on a project at the end of the course
Placement Assistance
Training Certificate
Course Contents
Lectures 30 X 2 hrs. (60 hrs) Weekends. Video 13 Hours Skill level all level Languages English Includes Lifetime access Money back guarantee! Certificate of Completion * Hadoop Distributed File System * Hadoop Architecture * MapReduce & HDFS * Hadoop Eco Systems * Introduction to Pig * Introduction to Hive * Introduction to HBase * Other eco system Map * Hadoop Developer * Moving the Data into Hadoop * Moving The Data out from Hadoop * Reading and Writing the files in HDFS using java  * The Hadoop Java API for MapReduce o Mapper Class o Reducer Class o Driver Class * Writing Basic MapReduce Program In java * Understanding the MapReduce Internal Components * Hbase MapReduce Program * Hive Overview * Working with Hive * Pig Overview * Working with Pig * Sqoop Overview * Moving the Data from RDBMS to Hadoop * Moving the Data from RDBMS to Hbase * Moving the Data from RDBMS to Hive * Market Basket Algorithms * Big Data Overview * Flume Overview * Moving The Data from Web server Into Hadoop * Real Time Example in Hadoop * Apache Log viewer Analysis * Introduction In Hadoop and Hadoop Related Eco System. * Choosing Hardware For Hadoop Cluster nodes * Apache Hadoop Installation o Standalone Mode o Pseudo Distributed Mode o Fully Distributed Mode * Installing Hadoop Eco System and Integrate With Hadoop o Zookeeper Installation o Hbase Installation o Hive Installation o Pig Installation o Sqoop Installation o Installing Mahout * Horton Works Installation * Cloudera Installation * Hadoop Commands usage * Import the data in HDFS * Sample Hadoop Examples (Word count program and Population problem) * Monitoring The Hadoop Cluster o Monitoring Hadoop Cluster with Ganglia o Monitoring Hadoop Cluster with Nagios o Monitoring Hadoop Cluster with JMX * Hadoop Configuration management Tool * Hadoop Benchmarking 1. PDF Files + Hadoop e Books 2. Life time access to videos tutorials 3. Sample Resumes 4. Interview Questions 5. Complete Module & Frameworks Code
Hadoop Training Syllabus
Other materials provided along with the training
* 13 YEARS OF INDUSTRY EXPERIENCE * 9 YEARS OF EXPERIENCE IN ONLINE AND CLASSROOM TRAINING
ABOUT THE TRAINER
Duration of Training
Duration of Training will be 12 Weeks (Weekends) Saturday and Sunday 3 hrs.
Course Fee
Course Fee in 15,000/- (7,500/- X 2 installments) 2 Classes are Free as Demo. 100% Money back Guarantee if not satisfied with Training. Course Fee includes Study Materials, Videos, Software support, Lab, Tution Fee.
Batch Size
Maximum 5 candidates in a single batch.
Contact Us
To schedule Free Demo Kindly Contact :-
Parag Saxena.
RM Infotech Pvt Ltd,
332 A, Gali no - 6, West Guru Angad Nagar,
Laxmi Nagar, Delhi - 110092.
Mobile : 9810926239.
website : http://www.rminfotechsolutions.com/javamain/hadoop.html
