Send Me Details For Hadoop Jump Start
This course provides a well grounded introduction to Hadoop and its building blocks - HDFS, Map/Reduce, Pig, Hive, HBase, Sqoop and Flume. Anyone with a basic understanding of programming and databases (SQL) can benefit from this course. Prior knowledge of Java is not essential, although it is useful. As part of lab work, students build their own development cluster and implement a wide range of technical use cases.
The environment can be used for further learning and experimentation after the course as well. Students should be able to perform basic tasks on a Hadoop project, based upon their prior background and experience.
Who Should Attend
Introduction to Big Data Analytics
Hadoop Distributed File System (HDFS)
Setting Up a Hadoop Cluster
Map / Reduce
Introduction to Hbase
Building An End to End Hadoop Application
"Training conducted by Mindmap for "Business Analysis", "Big Data Analytics & Hadoop and Analytics for Business Using R " have received excellent feedback from my team and hopefully it will help them in delivering more challenging projects in future. Based on my interaction with my team, I recommend MCAL as a dependable training partner and if required hope to leverage your training in the future ."
Lokesh Jha, Chief Technical Officer(CTO) , Capgemini (India)
Big Data Analytics & Hadoop
" The training was extremely informative and valuable. The handson and practical approach helped in the overall understanding of the subject . Attending the training as a good start to getting deeper into the subject as concepts are clear . "
Amita Iyer, Senior Project Manager, Fiserv Global
Big Data Analytics
" Very well Structured with good hands on experience . Knowledge of trainer is excellent. "
Saibal Gupta, Consultant, Fractal Analytics(CPG)
Big Data Analytics
Big Data Strategy Definition
Architecting Data Platform
Building End To End Analytics Application
Front End Re-Engineering
Back End Re-Engineering
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