Learn HDFS, HIVE, HBASE, PIG, YARN, Advanced MapReduce concept 1, 2 and other important technologies
What you’ll learn
- Basics of Big Data.
- Detailed understanding of Big Data analytics.
- Master HDFS, MapReduce, Hive, Pig, HBase, Yarn.
Course Content
- Module 1:- Introduction to Big Data and Hadoop –> 7 lectures • 48min.
- Module 2- HDFS(Hadoop Distributed File System) –> 5 lectures • 39min.
- Module 3- Mapreduce –> 8 lectures • 51min.
- Module 4- Advanced Mapreduce-I –> 17 lectures • 1hr 49min.
- Module 5- Apache Pig –> 21 lectures • 2hr 39min.
- Module 6- Apache Hive –> 18 lectures • 3hr 16min.
- Apache HBase: NoSQL Database for Hadoop –> 12 lectures • 46min.
Requirements
This course on Big Data and Hadoop is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem Tools. It is a comprehensive Big Data Hadoop course designed by industry experts considering current industry job requirements to provide in-depth learning on big data and Hadoop Modules. This is an industry recognized Big Data Hadoop training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing, and analytics. This Hadoop training course will prepare you to clear big data certification.
Why should you take Big Data Hadoop?
- Average Salary of Big Data Hadoop Developers is $135,000 (Indeed. com salary data)
- McKinsey predicts that by 2018 there will be a shortage of 1,500,000 data experts
- The Hadoop Big Data analytics market is projected to grow to USD 40.69 Billion by 2021 – MarketsandMarkets