What is Big Data? Where we use Big Data? Why are we interested in? How does Big Data add value to our businesses? You can get answers to your questions by joining Big Data course with us. Our course will transform you into a qualified Hadoop Architect and you will master various concepts of Hadoop, including real-time processing using Spark, HDFS, Hive, Pig and other Big Data technologies such as Storm, Kafka, and Impala. Big Data Hadoop architects are among the highest paid professionals in today’s IT
Intro to Big Data .
Big Data Characteristics .
Role of Hadoop in Big data .
Challenges & Opportunities in Hadoop .
Hadoop Architecture .
Hadoop Clone .
HUE (Hortonworks & Cloudera Ecosystem) Overview .
HDFS Architecture & Concepts .
HDFS Blocks, Name nodes, Data nodes, Command Line Interface .
MapReduce flow chart
Combiner in Hadoop
Hello world job .
Partioner in Hadoop .
Need of combiner in Hadoop.
Sqoop in Hadoop .
Need of portioner in mapReduce(Hadoop) .
What is oozie in Hadoop .
What is hive in Hadoop .
Describe distributed systems and the purpose of Zookeeper.
Describe the ZooKeeper consistency guarantees.
Describe the basics of Zookeeper components.
Describe the application of Zookeeper in Hadoop ecosystem and usage in other real-world scenarios..
Use ZooKeeper CLI to run commands and interact with ZooKeeper service.
Manage ZooKeeper’s ACL and authentication to control permissions to the znodes.
Handle the various failure modes of ZooKeeper.
List the various ZooKeeper bindings and API.
Use the Java API to create a ZooKeeper application.
Use various ZooKeeper clients to work with ZooKeeper.