BigData Online Training

Big data has a lot of potential to benefit organizations in any industry, everywhere across the globe. Big data is much more than just a lot of data and especially combining different data sets will provide organizations with real insights that can be used in the decision-making and to improve the financial position of an organization.

There is a lot of buzz around BigData Online Training and the NOSQL movement these days and rightly so. The issues with data have essentially been two-fold: find cost effective ways to store ever increasing amounts of data and information, and find ways to mine this information to extract meaningful Business Intelligence.

Please have sometime and go through the recorded Demo Video on Bigdata-Hadoop and decide and Contact us at Contact@potentinfotech.com or  +91 800-87-506-87.

What You Learn in this course?

·         Bigdata, HDFS and Mapreduce

·         Introduction to BIG DATA and Its characteristics

·         4 V's of BIG DATA(IBM Definition of BIG DATA)

·         What is Hadoop?

·         Core Components of Hadoop

·         Introduction to Hadoop Distributed File System (HDFS) and its Architecture

·         Difference b/w Code Locality and Data Locality

·         HDFS commands

·         Name Node’s Safe Mode

·         Different Modes of Hadoop

·         Introduction to MAPREDUCE

·         Versions of HADOOP

·         What is Daemon?

·         Hadoop Daemons?

·         What is Name Node?

·         What is Data Node?

·         What is Secondary name Node?

·         What is Job Tracker?

·         What is Task Tracker?

·         What is Edge computer in Hadoop Cluster and Its role

·         Read/Write operations in HDFS

·         Complete Overview of Hadoop1.x and Its architecture

·         Rack awareness

·         Introduction to Block size

·         Introduction to Replication Factor(R.F)

·         Introduction to HeartBeat/Signal/Pulse

·         Introduction to Block report

·         MAPREDUCE Architecture

·         What is Mapper phase?

·         What is shuffle and sort phase?

·         What is Reducer phase?

·         What is split?

·         Difference between Block and split

·         Introduction to first Word Count program using MAPREDUCE

·         Different classes for running MAPREDUCE program using Java

·         Mapper class

·         Reducer Class and Its role

·         Driver class

·         Submitting the Word Count MAPREDUCE program

·         Going through the Jobs system output

·         Introduction to Partitioner with example

·         Introduction to Combiner with example

·         Introduction to Counters and its types

·         Different types of counters

·         Different types of input/output formats in HADOOP

·         Use cases for HDFS & MapReduce programs using Java

·         Single Node cluster Installation

·         Multi Node cluster Installation

·         Introduction to Configuration files in Hadoop and Its Imp.

·         Complete Overview of Hadoop2.x and Its architecture

·         Introduction to YARN

·         Resource Manager

·         Node Manager

·         Application Master(AM)

·         Applications Manager(AsM)

·         Journal Nodes

·         Difference Between Hadoop1.x and Hadoop2.x

·         High Availability(HA)

·         Hadoop Federation

·         Speculation execution in Hadoop