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Hadoop Training in Hyderabad

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.

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Hadoop Training in Hyderabad

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  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 & Hbaseinteragation • 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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