Hash jobs

Data Stage Course Content at Traning at learning hub Magarpatta city /FC Road Pune (+91-93257-93756) www.learninghub.co.in Data Stage Data Stage Course Content at Learning Hub Contents • Introduction about Data Stage • Difference between Server Jobs and Parallel Jobs • Difference between Pipeline Parallelisms • Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules,Range,DB2,Auto) • Configuration File • Difference between SMP/MPD architecture • Data Stage Components (Server components/Client Components) • Package Installer Data Stage Administrator • Creating project, Editing project and Deleting project • Permissions to user • .Apt Config file • Environment variable creation, permission Data stage director • Introduction to Data stage Director • Job status View • View logs • Scheduling • Batches Creation Designer • Introduction about Designer • Repository • Palatte • Types of Links • File Stages • Sequential File • Data set File • Lookup file set • Difference between Sequential file/Dataset/File set • Database stages • Dynamic RDBMS • Oracle Enterprise • ODBC Enterprise • Stored Procedure Processing stages • Change Capture (Caption) • Compare stage • Difference Stage • Aggregate Stage • Transformer Stage • Surrogate Generator Stage • Join Generator Stage • Merge Generator Stage • Lookup Generator Stage • Difference between join/Lookup/Merge • Difference between join/Lookup • Remove Duplicates • Switch • Pivot • Modify • Funnel Debugging stage • Head • Tail • Pea • Row Generator • Column Generator • Sample • Job Parameters Manager • Introduction About Data stage Manager • Importing the Job • Exporting the Job • Importing Table Definition • Importing Flat File Definition • Routines Containers • Difference between Local Container and Shared Container • Local Container • Shared Container Please Contact- Learning Hub, S-12,Destination Centre, 2nd Floor, Above HDFC Bank, Next to Noble Polyclinic, MAGARPATTA CITY, PUNE – 411013, PH: +91- 93257-93756. Skype id : learning.hub01 Email: learninghub01@gmail.com www.learninghub.co.in Data Stage Online Training, Data Stage Class Room Training, Data Stage Training in Magarpatta City, Data Stage Jobs and Placement, Data Stage Remote Support, Data Stage Online Help,Data Stage Videos training, Data Stage training by Learning Hub, Fast track classes in Data Stage, Best Data Stage training institutes in Pune, Best Faculty in Data Stage, Best online Faculty in Data Stage, Professional classroom training in Data Stage, Professional online training in Data Stage,Data Stage Certification, Data Stage training in Dubai, Data StageTraining in Melbourne, Data Stage Training in Dubai, Data Stage Training, Data Stage Training,Data Stage Training, Data StageOnline Training, Data Stage certfication and suppor

DATA STAGE TRAINING IN CHENNAI FOR MNC PROFESSIONALS Peridot Systems is only Data stage training In Chennai delivering the best training for students and also a carrier oriented training . Peridot Systems is a pioneer name in Training, Development, and provides one stop IT professional trainings. We provide trainings in ERP, Java, .net, SQT, SharePoint, Linux, Ms-BI, Cloud computing and all other latest technologies. Peridot Systems aspires to facilitate the creation of a network of IT Training Institutes worldwide to empower the workforce with job oriented skills. Selected Individuals and companies that share the passion and vision of Peridot Systems.  Preferable Timinings  Free Software Installation  One Year Tech Support  Real Time Trainers Data Stage Course Content Data ware housing concepts v About data warehousing v History of data warehousing v Data warehousing architecture v Different Data marts v Advantages of DWH v Properties of DWH v OLTP VS OLAP v DWH Approaches v Data Modeling v Star, Snowflake & Galaxy Schemas v Dimension tables v Fact Tables Data Stage Contents Introduction about Data Stage IBM Information server overview IBM Web sphere Data stage and information Analyzer IBM Web sphere Quality stage Difference between Server Jobs and Parallel Jobs Difference between Pipeline and partitioning Parallelisms Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules, Range, DB2, Auto) Configuration File Difference between SMP, MPP, Cluster architecture Data Stage Components (Server components/Client Components) Package Installer 1.Data Stage Administrator • 2.Data stage director 3.Designer 4.Processing stages For Further Details Please Contact 9790855020 Venue Details: Peridot Systems Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai. Tamil Nadu - 600020.

DATA STAGE TRAINING IN CHENNAI FOR MNC PROFESSIONALS Peridot Systems is only Data stage training In Chennai delivering the best training for students and also a carrier oriented training. Peridot Systems is a pioneer name in Training, Development, and provides one stop IT professional trainings. We provide trainings in ERP, Java,.net, SQT, SharePoint, Linux, Ms-BI, Cloud computing and all other latest technologies. Peridot Systems aspires to facilitate the creation of a network of IT Training Institutes worldwide to empower the workforce with job oriented skills. Selected Individuals and companies that share the passion and vision of Peridot Systems. Preferable Timinings Free Software Installation One Year Tech Support Real Time Trainers Data Stage Course Content Data ware housing concepts v About data warehousing v History of data warehousing v Data warehousing architecture v Different Data marts v Advantages of DWH v Properties of DWH v OLTP VS OLAP v DWH Approaches v Data Modeling v Star, Snowflake & Galaxy Schemas v Dimension tables v Fact Tables Data Stage Contents Introduction about Data Stage IBM Information server overview IBM Web sphere Data stage and information Analyzer IBM Web sphere Quality stage Difference between Server Jobs and Parallel Jobs Difference between Pipeline and partitioning Parallelisms Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules, Range, DB2, Auto) Configuration File Difference between SMP, MPP, Cluster architecture Data Stage Components (Server components/Client Components) Package Installer 1.Data Stage Administrator • 2.Data stage director 3.Designer 4.Processing stages For Further Details Please Contact Venue Details: Peridot Systems Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai. Tamil Nadu - .

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE II. PIG • Basics • Installation and Configurations • Commands….

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering,

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau  1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class.,,..

​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs Map-side join • Reduce-Side join 9. Map reduce – customization Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…...

ORACLE DATABASE ADMIN COURSE CONTENT Traning at learning hub Magarpatta city /FC Road Pune (+91-93257-93756) www.learninghub.co.in ORACLE DATABASE ADMIN COURSE CONTENT 1: Creating the Database 2: Starting Up and Shutting Down • Viewing the Quiesce State of an Instance • Suspending and Resuming a Database 3: Managing Oracle Database Processes • Terminating Sessions • Identifying Which Session to Terminate • Terminating an Active Session • Terminating an Inactive Session 4: Monitoring the Operation of Your Database • Server-Generated Alerts • Monitoring the Database Using Trace Files and the Alert Log • Monitoring Locks • Monitoring Wait Events • Process and Session Views 5: Oracle Database Structure and Storage • Managing Control Files • Managing the Redo Log • Managing Archived Redo Logs 6: Managing Table spaces Transportable Table spaces 7: Managing Data files and Temp files 8: Managing the Undo Table space undo retention, switching undo table space 9: User management creation of users and roles, assign privileges 10:Automatic Storage Management create ASM instance, create disk groups 11:Managing Schema Objects • Tables, indexes, views, synonyms and sequence generator • Space management • Managing resumable space allocation, reclaiming wasted space • Managing Tables • adding, renaming and dropping of table columns • Managing Indexes • B*tree, bitmap • Managing Partitioned Tables and Indexes • Range, hash,list and composit partitioning • Managing Clusters • creation and altering of clusters • Managing Views, Sequences, and Synonyms • Oracle Network • Listener and tnsnames • Distributed Database Concepts • Utilities • Data pump , SQL*Loader • Backup and Recovery • Rman • Performance Tuning • Data Guard • configuring physical standby database • Miscellaneous Please Contact- Learning Hub, S-12,Destination Centre, 2nd Floor, Above HDFC Bank, Next to Noble Polyclinic, MAGARPATTA CITY, PUNE – 411013, PH: +91- 93257-93756. Skype id : learning.hub01 Email: learninghub01@gmail.com www.learninghub.co.in ORACLE DATABASE ADMI Online Training, ORACLE DATABASE ADMIN Class Room Training, ORACLE DATABASE ADMIN Training in Magarpatta City, ORACLE DATABASE ADMIN Jobs and Placement, ORACLE DATABASE ADMIN Remote Support, ORACLE DATABASE ADMIN Online Help, ORACLE DATABASE ADMIN Videos training, ORACLE DATABASE ADMIN Training by Learning Hub, Fast track classes in ORACLE DATABASE ADMIN, Best ORACLE DATABASE ADMIN Training institutes in Pune, Best Faculty in ORACLE DATABASE ADMIN, Best online Faculty in ORACLE DATABASE ADMIN, Professional classroom training in ORACLE DATABASE ADMIN, Professional online training ORACLE DATABASE ADMIN, ORACLE DATABASE ADMIN Certification , ORACLE DATABASE ADMIN training in Dubai, ORACLE DATABASE ADMINTraining in Melbourne, ORACLE DATABASE ADMIN Training in Dubai, ORACLE DATABASE ADMIN Training, ORACLE DATABASE ADMIN Workflow Training ORACLE DATABASE ADMI Training, ORACLE DATABASE ADMI Online Training, ORACLE DATABASE ADMIN certfication and support

Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes (NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages:- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample