HADOOP Using Cloudera Development & Admin  Training

Lucidtechsystems is a brand and providing quality Online,Classroom,Corporate,Weekends and Fast track training on demand to the students in worldwide on HADOOP Using Cloudera Development & Admin Training from Hyderabad. Lucidtechsystems is one best Cloudera Hadoop Training institute in Hyderabad and providing IT End-to-End training with real-time hands-on exposure through the IT Experts to the students. We are giving best on HADOOP Using Cloudera Development & Admin  online Training and offline training in Hyderabad. Lucidtechsystems provides flexibility to the students while choosing online classes, classroom training, corporate training,the summary of courses and their scope.

Cloudera Hadoop Training Faculty : Real-time experience


Lucidtechsystems Manage risk and reduce compliance costs with end-to-end processes for compliance, governance, and risk. Class discussion, class assignments, A/V presentation, real-life experience, classroom exercises, and self-study.

Highlights In Our Cloudera Hadoop Training Service:

In Lucidtechsystems all faculties or trainers have experienced the pleasure of training and trained Resources is accessible all over the world. Lucidtechsystems Training leads to excel understanding, IT Industry latest skills requirement and proficiency with consulting service Lucid Tech Systems real-time skilled instructors accomplish your ideas/thoughts and create competently /expertly driven environment. We will develop the association with DEVELOPMENT, TESTING, QA, UAT, STAGE and PRODUCTION Environments.

Lucidtechsystems help out in certification programs , Resume preparation, Boost Interview skills, Live Project life cycle, evolution, clarifying Doubts through Questions and Answers Method, Providing the Material with Video Sessions, troubleshooting bugs or issues in different target environment such as  DEVELOPMENT, TESTING, QA, UAT, STAGE and PRODUCTION, support the novel thoughts.

Lucidtechsystems is one best on “Cloudera Hadoop Training” through online and offline or classroom training center in Hyderabad ,We also provide on “HADOOP Using Cloudera Development & Admin online Training” in  India, Chennai, Bangalore, Mumbai, Calcutta, Pune, Delhi, Noida, gorgon, NCR region, USA, UK, Canada, Japan, Malaysia, Singapore, UAE, Kuwait , Abu Dhabi, Dubai, Australia, South Africa etc.

Also,see Big data Hadoop Training also.

Course content

Introduction to BigData, Hadoop:-

  • Big Data Introduction
  • Hadoop Introduction
  • What is Hadoop? Why Hadoop?
  • Hadoop History?
  • Different types of Components in Hadoop?
  • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
  • What is the scope of Hadoop?

Deep Drive in HDFS (for Storing the Data):-

  • Introduction of HDFS
  • HDFS Design
  • HDFS role in Hadoop
  • Features of HDFS
  • Daemons of Hadoop and its functionality
  • Name Node
  • Secondary Name Node
  • Job Tracker
  • Data Node
  • Task Tracker
  • Anatomy of File Wright
  • Anatomy of File Read
  • Network Topology
  • Nodes
  • Racks
  • Data Center
  • Parallel Copying using DistCp
  • Basic Configuration for HDFS
  • Data Organization
  • Blocks and
  • Replication
  • Rack Awareness
  • Heartbeat Signal
  • How to Store the Data into HDFS
  • How to Read the Data from HDFS
  • Accessing HDFS (Introduction of Basic UNIX commands)
  • CLI commands

MapReduce using Java (Processing the Data):-

  • Introduction of the MapReduce.
  • MapReduce Architecture
  • Data flow in MapReduce
  • Splits
  • Mapper
  • Portioning
  • Sort and shuffle
  • Combiner
  • Reducer
  • Understand Difference Between Block and InputSplit
  • Role of RecordReader
  • Basic Configuration of MapReduce
  • MapReduce life cycle
  • Driver Code
  • Mapper
  • and Reducer
  • How MapReduce Works
  • Writing and Executing the Basic MapReduce Program using Java
  • Submission & Initialization of MapReduce Job.
  • File Input/output Formats in MapReduce Jobs
  • Text Input Format
  • Key Value Input Format
  • Sequence File Input Format
  • NLine Input Format
  • Joins
  • Map-side Joins
  • Reducer-side Joins
  • Word Count Example
  • Partition MapReduce Program
  • Side Data Distribution
  • Distributed Cache (with Program)
  • Counters (with Program)
  • Types of Counters
  • Task Counters
  • Job Counters
  • User Defined Counters
  • Propagation of Counters
  • Job Scheduling


  • Introduction to Apache PIG
  • Introduction to PIG Data Flow Engine
  • MapReduce vs PIG in detail
  • When should PIG used?
  • Data Types in PIG
  • Basic PIG programming
  • Modes of Execution in PIG
  • Local Mode and
  • MapReduce Mode
  • Execution Mechanisms
  • Grunt Shell
  • Script
  • Embedded
  • Operators/Transformations in PIG
  • PIG UDF’s with Program
  • Word Count Example in PIG
  • The difference between the MapReduce and PIG


  • Introduction to SQOOP
  • Use of SQOOP
  • Connect to mySql database
  • SQOOP commands
  • Import
  • Export
  • Eval
  • Codegen and etc…
  • Joins in SQOOP
  • Export to MySQL


  • Introduction to HIVE
  • HIVE Meta Store
  • HIVE Architecture
  • Tables in HIVE
  • Managed Tables
  • External Tables
  • Hive Data Types
  • Primitive Types
  • Complex Types
  • Partition
  • Joins in HIVE
  • HIVE UDF’s and UADF’s with Programs
  • Word Count Example


  • Introduction to HBASE
  • Basic Configurations of HBASE
  • Fundamentals of HBase
  • What is NoSQL?
  • HBase DataModel
  • Table and Row
  • Column Family and Column Qualifier
  • Cell and its Versioning
  • Categories of NoSQL Data Bases
  • Key-Value Database
  • Document Database
  • Column Family Database
  • SQL vs NOSQL
  • How HBASE is the differ from RDBMS
  • HDFS vs HBase
  • Client-side buffering or bulk uploads
  • HBase Designing Tables
  • HBase Operations
  • Get
  • Scan
  • Put
  • Delete


  • What is MongoDB?
  • Where to Use?
  • Configuration On Windows
  • Inserting the data into MongoDB?
  • Reading the MongoDB data.

Cluster Setup:–

  • Downloading and installing the Ubuntu12.x
  • Installing Java
  • Installing Hadoop
  • Creating Cluster
  • Increasing Decreasing the Cluster size
  • Monitoring the Cluster Health
  • Starting and Stopping the Nodes


  • Introduction to OOZIE
  • Use of OOZIE
  • Where to use?

Hadoop Ecosystem Overview








Zoo Keeper


Lucid Tech Systems Online Services Providing worldwide like Asia, Europe, America, Africa, Sweden, North Korea, South Korea, Canada, Netherlands, Italy, Russia, Israel, New Zealand , Norway, Singapore, Malaysia, UAE, Kuwait , Abu Dhabi, Dubai, Australia, South Africa, UK, USA  etc.

Lucid Tech Systems Providing  ” HADOOP Using Cloudera Development & Admin  online training “,  ”Cloudera Hadoop Training from the classroom” in Hyderabad, ” HADOOP Using Cloudera Development & Admin Corporate Training in India”, In India Online Services providing top cities like Chennai, Bangalore, Mysore,  Mumbai, Calcutta, Pune, Delhi, Noida, gorgon, NCR region etc.

“HADOOP Using Cloudera Development & Admin   jobs” in India and cities like Chennai, Bangalore, Mysore,  Mumbai, Calcutta, Pune, Delhi, Noida, gorgon, NCR region etc and countries like USA,UK.