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N BenchmarkIT Solutions Pvt.Ltd.
NBITS
(N Benchmark IT Solutions Pvt. Ltd.)
SALESFORCE Course Content
Ph No: 9701000415, 040-40036813
#101, B-Block, Balaji Towers, Beside Prime Hospital, Near Mytrivanam, Ameerpet, Hyderabad
ADMIN
 INTODUCTION
 What is Big Data?
 What is Hadoop?
 Need of Hadoop
 Challenges with Big Data
o i.Storage
o ii.Processing
 Comparison with Other Technologies
 Hadoop Echo System components
 HDFS (Hadoop Distributed File System)
 Features of HDFS
 Configuring Block size,
 HDFS Architecture( 5 Daemons)
o Name Node
o Data Node
o Job Tracker
o Task Tracker
o Secondary Name node
 Replication in Hadoop
 Configuring Custom Replication
 Fault Tolerance in Hadoop
 HDFS Commands
 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
N BenchmarkIT Solutions Pvt.Ltd.
 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
 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
 Relational Operators in Pig
 COGROUP
 CROSS
 DISTINCT
 FILTER
 FOREACH
 GROUP
 JOIN (INNER)
 JOIN (OUTER)
 LIMIT
 LOAD
N BenchmarkIT Solutions Pvt.Ltd.
 ORDER
 SAMPLE
 SPILT
 STORE
 UNION
 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
 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
N BenchmarkIT Solutions Pvt.Ltd.
 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
 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
 NOSQL
 What is “Not only SQL”
 NOSQLAdvantages
 What is problem with RDBMS for Large
 Data Scaling Systems
 Types of NOSQL & Purposes
 Key Value Store
 Columer Store
N BenchmarkIT Solutions Pvt.Ltd.
 Document Store
 Graph Store
 Introduction to cassandra – NOSQLDatabase
 Introduction to MangoDB and CouchDB Database
 Introduction to Neo4j – NOSQLDatabase
 Intergration of NOSQLDatabases with Hadoop
 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
 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
N BenchmarkIT Solutions Pvt.Ltd.
 Consumers
 Configurations
 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
 Introduction
 YARN Architecture
o Resource Manager
o Application Master
o Node Manager
 MR vs. YARN
 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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Hadoop Training in Hyderabad | Online Training

  • 1. N BenchmarkIT Solutions Pvt.Ltd. NBITS (N Benchmark IT Solutions Pvt. Ltd.) SALESFORCE Course Content Ph No: 9701000415, 040-40036813 #101, B-Block, Balaji Towers, Beside Prime Hospital, Near Mytrivanam, Ameerpet, Hyderabad ADMIN  INTODUCTION  What is Big Data?  What is Hadoop?  Need of Hadoop  Challenges with Big Data o i.Storage o ii.Processing  Comparison with Other Technologies  Hadoop Echo System components  HDFS (Hadoop Distributed File System)  Features of HDFS  Configuring Block size,  HDFS Architecture( 5 Daemons) o Name Node o Data Node o Job Tracker o Task Tracker o Secondary Name node  Replication in Hadoop  Configuring Custom Replication  Fault Tolerance in Hadoop  HDFS Commands  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
  • 2. N BenchmarkIT Solutions Pvt.Ltd.  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  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  Relational Operators in Pig  COGROUP  CROSS  DISTINCT  FILTER  FOREACH  GROUP  JOIN (INNER)  JOIN (OUTER)  LIMIT  LOAD
  • 3. N BenchmarkIT Solutions Pvt.Ltd.  ORDER  SAMPLE  SPILT  STORE  UNION  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  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
  • 4. N BenchmarkIT Solutions Pvt.Ltd.  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  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  NOSQL  What is “Not only SQL”  NOSQLAdvantages  What is problem with RDBMS for Large  Data Scaling Systems  Types of NOSQL & Purposes  Key Value Store  Columer Store
  • 5. N BenchmarkIT Solutions Pvt.Ltd.  Document Store  Graph Store  Introduction to cassandra – NOSQLDatabase  Introduction to MangoDB and CouchDB Database  Introduction to Neo4j – NOSQLDatabase  Intergration of NOSQLDatabases with Hadoop  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  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
  • 6. N BenchmarkIT Solutions Pvt.Ltd.  Consumers  Configurations  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  Introduction  YARN Architecture o Resource Manager o Application Master o Node Manager  MR vs. YARN  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