Big Data Training institute in Chennai SQL STAR

provides you with means to ramp up your career and gives you the following advantages:

• Acceleratedcareer growth.
• Increasedpay package due to Hadoop skill.
• Jobpostings and recruiters are looking for candidates with Hadoopcertification.
• Thisis a definite advantage over a candidate without Hadoopcertification.
• Givesan edge over other professionals in the same field, in term of paypackage.
• Helpfulfor People are trying to transition into Hadoop from differenttechnical backgrounds.
• Authenticatesyour hands-on experience dealing with Big Data.
• Verifiesthat you are aware of the latest features of Hadoop.
• Thecertification helps to speak more confidently about this technologyat my company when networking with others.

<>Who is eligible for this course?

With the large number of Big Data profession prospects getting higher, Hadoop is the must know equipment for the following:

• Softwaredeveloper and Architects
• Analyticsprofessionals
• DataManagement professionals
• ProjectManagers
• AspiringData Scientists
• ETL/Testing/Informaticaprofessionals
• Anyonewith a genuine interest in Big Data Analytics

<>Big Data Job Roles:

• HadoopArchitect
• HadoopDeveloper
• DataScientists
• HadoopAdministrators

<Big Data

ONT>

Introduction to Linux & Basic Networking

• Whatis Linux
• Therole of an OS
• LinuxDistribution
• Whyuse Linux
• LinuxBasic Commands
• Workingwith Files
• ManPages and History
• TextEditors
• I/ORedirection
• TheBash Shell
• Fileand Directory Permissions
• Typesof Network
• TypesNetwork Topology
• BasicIP Config
• SSHand SSH Key gen

Oops, Introduction to core Java

• Whatis Java
• Javavs Other Languages
• Advantagesof Java
• OOPSConcept
• Object
• Class
• Inheritance
• Polymorphism
• Abstraction
• Encaptulation

Introduction to BigData and Hadoop

• Whatis BigData
• Challengesof BigData
• TypesData
• Sourcesof Data
• Characteristicsof BigData
• TraditionalApplications
• TraditionalData Analytics Architecture
• ETLProcessing Before and After Hadoop
• ModernApplications
• DataArchitecture Optimized by Hadoop
• BigData Solutions
• BigData Use Cases
• BigData Offerings
• Whatand Why is Hadoop
• DataWarehouse VS Hadoop
• DistributedComputing

 HDFS Architecture

• Assumptionand Goal
• NameNode and Data Node
• DataReplication
• Persistenceof FS Meta Data
• DataOrganization
• SpaceReclaimation

Hadoop Single Node Setup

• Installation
• StandaloneOperation
• Pseudo-DistributedOperation
• YARNon Single Node

Hadoop Cluster Setup

• Installation
• Configuring the Hadoop Daemon
• HadoopCluster Startup
• HadoopCluster Shutdown
• WebInterfaces
• SecondaryName Node
• CheckpointNode
• BackupNode

HDFS Federation

• Background
• MultipleName node / Name spaces
• FederationConfiguration
• Managingthe Cluster

HDFS

• EditViewer
• ImageViewer
• SpaceQuota
• Permissions

Map Reduce

• Overview
• Mapper
• Reducer
• Partitioner
• InputSplit
• RecordReader
• RecordWriter

YARN

• Architecture
• Federation
• CapacityScheduler
• FairScheduler
• ResourceManager HA
• NodeManager
• Timeline Server

Hive

• Overview
• Installationand Configuration
• Beeline
• DataUnits --Databases, Tables, Partitions and Buckets
• DDL--Create, Alter, Show and Drop Tables
• LoadingData
• DML--Querying and Inserting Data

Hadoop Ecosystem - PIG

• OverviewInstallation and Configuration Execution Mode Pig Latin StatementLoading Data Work with Data to Filter, Group, Join and Union Storingimmediate and Final Result Debugging Pig Latin

Hadoop Ecosystem - SQOOP

• Overview
• Installationand Configuration
• sqoop-import
• sqoop-import-all-tables
• sqoop-export
• sqoop-list-tables

Hadoop Ecosystem - FLUME

• Overview
• Installationand Configuration
• DataFlow Models
• Singleand Multi-agent Flow
• Consolidation
• Source
• Channel
• Sink

Hadoop Ecosystem - OOZIE

• Overview
• Installationand Configuration
• WorkFlow Control Nodes
• WorkFlow Action Nodes

Hadoop Ecosystem - ZOOKEEPER

• Overview
• Installationand Configuration
• StandaloneOperation
• RunningReplicated

NOSQL

Cassandra

• Overview
• Installationand Configuration Create, Alter and Drop Key space
• Create,Alter and Drop Table
• Select,Insert, Update, Delete

MongoDB

• Overview
• Installationand Configuration
• CreateOperations
• ReadOperations
• UpdateOperations
• DeleteOperations
• CreateIndex

 Spark

• Overview
• ClusterMode Overview
• ResilientDistributed Data set (RDD)
• RDDOperations
• Accumulatorand Broadcast Variables
• SQL
• DataFrame
• DataSet
• Streaming

Introduction to HDP and CDH

 

Duration

 

76 Hours