This is an interactive lecture of one of my Big data and Hadoop class where everything is covered from the scratch and also you will see students asking doubts so you can clear those concepts here as well.
Students will be Able to crack Cloudera CCA 175 Certification after successful completion and with little practice.
Tools covered:
Sqoop
Flume
MapReduce
Hive
Impala
Beeline
Apache Pig
HBase
OOZIE
Project on a real data set
( FILES WHICH ARE USED IN LECTURES FOR EXPLANATION OR IN PROJECT CANNOT BE UPLOADED DUE TO EXTENSION SO I WOULD REQUEST YOU TO ASK ME ON sahebsinghchaddha@gmail.com, SO I WILL MAIL IT TO YOU INDIVIDUALLY)
Basic knowledge
Well, for Big Data Analytics Core Java, My SQL is required, but if am your trainer, there are no prerequisites as I will be teaching everything from scratch
What will you learn
Able to transfer Big Data from traditional database to your Hadoop Envirnment(HDFS)
be able to do all the required analytical jobs with HIVE, IMPALA and BEELINE on the BIG DATA provided to you, which will give you a real experience of how things work in a company
Learn the most leading tools of Hadoop like: SQOOP, HIVE, IMPALA, BEELINE, MAPREDUCE, PIG, HBASE. OOZIE, YARN, etc
Be ready for clearing the section of HADOOP in the CLOUDERA CCA175 CERTIFICATION
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