Certificate in Advanced MS Excel
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Big Data Hadoop Training
Lucrative Career Option73% of organizations have already invested or plan to invest in big data.
Job OpportunitiesComplete the Hadoop online training become eligible for over 1,500,000 jobs.
Who Should AttendBeginners in analytics domain, engineering & non-engineering graduates.
Salary PackagesThe average salary for an entry-level Big Data engineer is ₹5 lakhs per annum.
Expert FacultyThe Big Data certification course is taught by eminent big data experts.
Are you interested in increasing your knowledge in the Big Data landscape and becoming a certified Big Data professional? Most modern businesses now have access to massive amounts of data which they are extensively using to guide their decision-making process. And Hadoop, one of the most popular open-source Big Data framework has made big data analysis easier and more accessible - increasing its potential to transform the world!
Manipal ProLearn’s course in Big Data Analytics using Hadoop will help you to understand the A to Z of Big Data and Hadoop analytics. You’ll also be able to go into the depth of other advanced Big Data technologies such as SPARK, Storm, and Kafka etc. A complete understanding of these technologies would enable you to work as a Big Data engineer and explore the world of analytics & data sciences.
After completing the Big Data Analytics using Hadoop online training, you’ll be considered as a strong and competent Big Data engineer. The big data analytics with Hadoop course will help you to:
- Understand what is Big Data and the sources of Big Data.
- Appreciate the need for a platform like Hadoop.
- Overview of the technological landscape of Big Data.
- Demonstrate the ability to quickly perform ad-hoc analysis of Big Data (structured and unstructured).
- Overcome the limitations of standalone tools like Excel & R.
Beginners in the analytics domain
Big Data analytics aspirants
Challenges of Processing Big Data
History of Hadoop
Ecosystem of Hadoop
HDFS and MapReduce Paradigm
Big Data Technologies
Features of Hadoop
Hadoop Installation and Configuration
Hive Installation and Configuration
Pig Installation and Configuration
Sqoop Installation and Configuration
Oozie Installation and Configuration
Flume Installation and Configuration
Hbase Installation and Configuration
Hue Installation and Configuration
Basic HDFS commands demo
Read anatomy in HDFS
Write anatomy in HDFS
Additional HDFS commands demo
HDFS permission management
HDFS permission management demo -Part 1
HDFS permission management demo -Part 2
Overview of map reduce (MR1)
System architecture of map reduce (MR1)
Introduction to YARN
Map-Reduce job execution in YARN (MR2/Hadoop 2.x)
Map task execution
Sort and shuffle
Reduce task execution
Map Reduce and PIG
Modes of execution in PIG
Data types in PIG
Operators in PIG
Loading data into PIG demo
Transformations in PIG demo
Debugging in PIG demo
Other capabilities in PIG demo
Real time deployment introduction
Logical deployment overview
Physical deployment overview
Real time deployment summary
Big data software and tools introduction
Other ecosystem tools
Big data software and tools summary