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Hadoop training in hyderabad

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NBITS is a best hadoop training institute providing customer project-based Training and Placements in Big Data Hadoop. NBITS provides Hadoop Training in Hyderabad by Real time experts faculty with 10+ yrs Experience. – PowerPoint PPT presentation

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Title: Hadoop training in hyderabad


1
HADOOP TRAINING
2
INTODUCTION
  • What is Big Data?
  • What is Hadoop?
  • Need of Hadoop
  • Challenges with Big Data
  • i.Storage
  • ii.Processing
  • Comparison with Other Technologies
  • Hadoop Echo System components

3
  • HDFS (Hadoop Distributed File System)
  • Features of HDFS
  • Configuring Block size,
  • HDFS Architecture( 5 Daemons)
  • Name Node
  • Data Node
  • Job Tracker
  • Task Tracker
  • Secondary Name node
  • Replication in Hadoop
  • Configuring Custom Replication
  • Fault Tolerance in Hadoop
  • HDFS Commands

4
  • MAP REDUCE
  • Map Reduce Architecture
  • Processing Daemons of Hadoop
  • Job Tracker (Roles and Responsibilities)
  • Task Tracker(Roles and Responsibilities)
  • Input split
  • Input split vs Block size
  • Data Types in Map Reduce
  • Map Reduce Programming Model
  • Driver Code
  • Mapper Code
  • Reducer Code
  • Combiner in Map Reduce
  • Partitioner in Map Reduce
  • File input formats
  • File output formats
  • Compression Techniques in Map Reduce
  • Joins in Map Reduce

5
  • PIG
  • Introduction to pig
  • Pig Latin Script
  • Pig Console / Grunt Shell
  • Execting Pig Latin Script
  • Pig Relations, Bags, Tuples, Fields
  • Data Types
  • Nulls
  • Constants
  • Expressions
  • Schemas
  • Parameter Substitution
  • Arithmetic Operators
  • Comparison Operators
  • Null Operators
  • Boolean Operators
  • Sign Operators
  • Flatten Operators

6
  • Relational Operators in Pig
  • COGROUP
  • CROSS
  • DISTINCT
  • FILTER
  • FOREACH
  • GROUP
  • JOIN (INNER)
  • JOIN (OUTER)
  • LIMIT
  • LOAD
  • ORDER
  • SAMPLE
  • SPILT
  • STORE
  • UNION

7
  • Diagnostic Operators in Pig
  • Describe
  • Dump
  • Explain
  • Illustrate 
  • Eval Functions in Pig
  • AVG
  • CONCAT
  • COUNT
  • DIFF
  • IS EMPTY
  • MAX
  • MIN
  • SIZE
  • SUM
  • TOKENIZE
  • writing Custom UDFS in Pig
  •  

8
  • HIVE
  • Introduction
  • Hive Architecture
  • Hive Metastore
  • Hive Query Launguage
  • Difference between HQL and SQL
  • Hive Built in Functions
  • Hive UDF (user defined functions)
  • Hive UDAF (user defined Aggregated functions)
  • Hive UDTF (user defined table Generated
    functions)
  • Hive Serde?
  • Hive Hbase Integration
  • Hive Working with unstructured data
  • Hive Working With Xml Data
  • Hive Working With Json Data

9
  • Hive Working With Urls And Weblog Data
  • Hive Json Serde
  • Loading Data From Local Files To Hive Tables
  • Loading Data From Hdfs Files To Hive Tables
  • Tables Types
  • Inner Tables
  • External Tables
  • Partitioned Tables
  • Non Partitioned Tables
  • Dynamic Partitions In Hive
  • Bucketing in hive
  • Hive Unions
  • Hive Joins
  • Multi Table / File Inserts
  • Inserting Into Local Files
  • Inserting Into Hdfs Files
  • Array Operations In Hive

10
  •  
  • SQOOP (SQL HADOOP)
  • Introduction to Sqoop
  • SQOOP Import
  • SQOOP Export
  • Importing Data From RDBMS to HDFS
  • Importing Data From RDBMS to HIVE
  • Importing Data From RDBMS to HBASE
  • Exporting From HASE to RDBMS
  • Exporting From HBASE to RDBMS
  • Exporting From HIVE to RDBMS
  • Exporting From HDFS to RDBMS
  • Transformations While Importing / Exporting
  • Defining SQOOP Jobs

11
  • NOSQL
  • What is Not only SQL
  • NOSQL Advantages
  • What is problem with RDBMS for Large
  • Data Scaling Systems
  • Types of NOSQL Purposes
  • Key Value Store
  • Columer Store
  • Document Store
  • Graph Store
  • Introduction to cassandra NOSQL Database
  • Introduction to MangoDB and CouchDB Database
  • Introduction to Neo4j NOSQL Database
  • Intergration of NOSQL Databases with Hadoop
  •  

12
  • HBASE
  • Introduction to big table
  • What is NOSQL and colummer store Database
  • HBASE Introduction
  • Hbase use cases
  • Hbase basics
  • Column families
  • Scans
  • Hbase Architecture
  • Thrift
  • Map Reduce Integration
  • Map Reduce Over Hbase
  • Hbase data Modeling
  • Hbase Schema design
  • Hbase CRUD operators
  • Hive Hbase interagation
  • Hbase storage handles

13
  • FLUME
  • Introduction to FLUME
  • What is the streaming File
  • FLUME Architecture
  • FLUME Nodes FLUME Manager
  • FLUME Local Physical Node
  • FLUME Agents FLUME Collector 
  • KAFKA
  • Introduction to KAFKA
  • KAFKA Architecture
  • Kafka components
  • BROKER
  • Topics
  • Producers
  • Consumers
  • Configurations

14
  • OOZIE
  • Introduction to OOZIE
  • OOZIE as a seheduler
  • OOZIE as a Workflow designer
  • Seheduling jobs (OOZIE CODE)
  • Defining Dependences between jobs
  • (OOZIE Code Examples)
  • Conditionally controlling jobs
  • (OOZIE Code Examples)
  • Defining parallel jobs (OOZIE Code Examples) 
  • YARN
  • YARN Architecture
  • Resource Manager
  • Application Master
  • Node Manager
  • MR vs. YARN

15
  • IMPALA
  • What is Impala?
  • Impala for query processing
  • HIVE vs Impala
  • Usecases with impala
  • MONGODB
  • Introduction to MongoDB
  • Features of MongoDB
  • MongoDB Basic operations 
  • Additional benefits from NBITS
  • Course Material
  • Sample resumes and Fine tuning of Resume
  • Interview Questions
  • Mock Interviews by Real time Consultants
  • Certification Questions
  • Job Assistance
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