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Big Data Certifications Classroom Training in Boston, MA United States
December 1, 2015 @ 8:00 am - 5:00 pm
$1.400Big Data & Hadoop Classroom Training
Location: Boston, MA
Dates: Dec 19 & 20 – 26 & 27, 2015 ((Sat & Sun) Time: 08:30-17:30 CST
Dates: Dec 21st – 01st Jan (Evening Batch (Mon to Fri))Time: 20:30-23:30 CST
Dates: 28 – 31 December, 2015 Time: 08:30-17:30 CST
Big Data needs no introduction in today’s world! In fact, it is becoming a crucial way for leading companies to outperform their peers. In most industries, established competitors and new entrants alike are leveraging data-driven strategies to innovate, compete, and capture value. It is estimated that the total accumulation of the past two years—a zettabyte*—dwarfs the prior record of human civilization! There is little doubt that the world is seeing a Big Data revolution, and those who possess the skills to parse this ever-growing trove of information sense that they are making history in many realms of industry.
It is with great pleasure that I write to invite you to our Big Data and Hadoop Certification Trainings scheduled across the United States. If you’re considering a major step forward in your career by getting certified as a Big Data and Hadoop Developer, then look no further! EZCertifications is among the best known names in Big Data and Hadoop Training. Our instructors are hands-on professionals and experts in Big Data and Hadoop Development – and our trainings enjoyable, engaging and affordable! *A petabyte is the equivalent of 1,000 terabytes, or a quadrillion bytes. One terabyte is a thousand gigabytes. One gigabyte is made up of a thousand megabytes. There are a thousand thousand—i.e., a million—petabytes in a zettabyte.
- This Big Data & Hadoop Certification Course will help you to:
- Master the concepts of Hadoop Distributed File System and MapReduce framework
- Setup a Hadoop Cluster
- Understand Data Loading Techniques using Sqoop and Flume
- Program in MapReduce (Both MRv1 and MRv2)
- Learn to write Complex MapReduce programs
- Program in YARN (MRv2)
- Perform Data Analytics using Pig and Hive
- Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing
- Have a good understanding of ZooKeeper service
- New features in Hadoop 2.0 — YARN, HDFS Federation, NameNode High Availability
- Implement best Practices for Hadoop Development and Debugging
- Implement a Hadoop Project
- Work on a real-life Project on Big Data Analytics and gain hands-on Project Experience