Configurations

Peridot systems Peridot Systems is one of the best training institutes for Software Testing, Oracle 10g/11gDBA, Dot Net 4.0, Salesforce.com, Core Java, J2EE, DB2, Solaris Admin, Websphere, WebLogic, Solaris, LINUX commands in Chennai with placement. We give Job oriented training apart from the theoretical topics. We give 100% Placement assistance and guide the students during their Interview sessions and on their Communication Skills Initiated by a crew of highly competent and expert professionals with an unique objective to bridge the gap between the field of education and IT industry. Peridot is proud to introduce job oriented IT Training courses with globally accredited certification on all platforms that have wider scope in the existing IT Job Market. These platforms are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind. Weblogic Server Web logic Server Basics • Understanding TCP/IP and HTTP • Web logic Application server • Web logic 10.3 Features • Web logic system administrator Infrastructure • J2EE Components • Servlets • JSP • EJB Weblogic Application Server Installation and configurations • WLS domain Server • Machine • Cluster • Directory structure • Starting WLS • Configuring Domain attributes • Configuring server, cluster • Service configurations • Configuring JMS options • Configuring Database Connectivity • Connection Pools, Data Sources and Multi Pools Application Deployment • Auto Deployment • Deployment tools • Cluster Deployment Load balancing and session replication • Setting up a Cluster across multiple machines • Weblogic Virtual Hosting • Configuring Node Manager, Weblogic Server Logging • Weblogic Server threading model and creating own execute queue Weblogic and J2EE • JMS application • Configuring JMS • Weblogic JNDI WLS and HTTP servers • WLS HTTP server • Plug-in Weblogic Performance Tuning Basics • Reduce the application down time OS ,Network tuning Basics • Techniques to troubleshoot and fix the OOM, Memory leak, Server Hang, Server Crash problems Administration Tools • Web logic java utilities • Licenses,Architecture,Configurations • Monitoring alls the domain resources, Servers, Clusters, JMS, Connection pools etc Application Security • Managing Web Logic Security and Security providers Authorization framework Venue: PeridotSystems #84/8 Venkatarathinam Main Street, Venkatarathinam Nagar,Adyar, Chennai - 600 020.(Near Adyar BSNL Telephone Exchange) Contact: 9952954654

Peridot systems Peridot Systems is one of the best training institutes for Software Testing, Oracle 10g/11gDBA, Dot Net 4.0, Salesforce.com, Core Java, J2EE, DB2, Solaris Admin, Websphere, WebLogic, Solaris, LINUX commands in Chennai with placement. We give Job oriented training apart from the theoretical topics. We give 100% Placement assistance and guide the students during their Interview sessions and on their Communication Skills Initiated by a crew of highly competent and expert professionals with an unique objective to bridge the gap between the field of education and IT industry. Peridot is proud to introduce job oriented IT Training courses with globally accredited certification on all platforms that have wider scope in the existing IT Job Market. These platforms are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind. Weblogic Server Web logic Server Basics • Understanding TCP/IP and HTTP • Web logic Application server • Web logic 10.3 Features • Web logic system administrator Infrastructure • J2EE Components • Servlets • JSP • EJB Weblogic Application Server Installation and configurations • WLS domain Server • Machine • Cluster • Directory structure • Starting WLS • Configuring Domain attributes • Configuring server, cluster • Service configurations • Configuring JMS options • Configuring Database Connectivity • Connection Pools, Data Sources and Multi Pools Application Deployment • Auto Deployment • Deployment tools • Cluster Deployment Load balancing and session replication • Setting up a Cluster across multiple machines • Weblogic Virtual Hosting • Configuring Node Manager, Weblogic Server Logging • Weblogic Server threading model and creating own execute queue Weblogic and J2EE • JMS application • Configuring JMS • Weblogic JNDI WLS and HTTP servers • WLS HTTP server • Plug-in Weblogic Performance Tuning Basics • Reduce the application down time OS ,Network tuning Basics • Techniques to troubleshoot and fix the OOM, Memory leak, Server Hang, Server Crash problems Administration Tools • Web logic java utilities • Licenses,Architecture,Configurations • Monitoring alls the domain resources, Servers, Clusters, JMS, Connection pools etc Application Security • Managing Web Logic Security and Security providers Authorization framework Venue: PeridotSystems #84/8 Venkatarathinam Main Street, Venkatarathinam Nagar,Adyar, Chennai - 600 020.(Near Adyar BSNL Telephone Exchange) Contact: 9952954654

Introduction: 2 Hrs  Identifying the Course Content  What is Oracle Data Integrator?  Why Oracle Data Integrator?  Overview of ODI 11g Architecture  Overview of ODI 11g Components  About Graphical Modules  Types of ODI Agents  Overview of Oracle Data Integrator Repositories Installations & Configurations: 3Hrs  Oracle 11G Database.  ODI 11G  Configurations Administering ODI Repositories and Agents: 3 Hrs  Administrating the ODI Repositories  Creating Repository Storage Spaces  Creating and Connecting to the Master Repository  Creating and Connecting to the Work Repository  Managing ODI Agents  Creating a Physical Agent  Launching a Listener, Scheduler and Web Agent ODI Topology Concepts: 3 Hrs  Overview of ODI Topology  About Data Servers and Physical Schemas  Defining the Physical Architecture  Defining the Logical Architecture  Mapping Logical and Physical Resources  Defining Agents  Defining a Topology Describing the Physical and Logical Architecture: 2 Hrs  Overview of Topology Navigator  Creating Physical Architecture  Creating a Data Server  Testing a Data Server Connection  Creating a Physical Schema  Creating Logical Architecture  Overview of Logical Architecture and Context Views  Linking the Logical and Physical Architecture Setting Up a New ODI Project: 2 Hrs

Introduction: 2 Hrs  Identifying the Course Content  What is Oracle Data Integrator?  Why Oracle Data Integrator?  Overview of ODI 11g Architecture  Overview of ODI 11g Components  About Graphical Modules  Types of ODI Agents  Overview of Oracle Data Integrator Repositories Installations & Configurations: 3Hrs  Oracle 11G Database.  ODI 11G  Configurations Administering ODI Repositories and Agents: 3 Hrs  Administrating the ODI Repositories  Creating Repository Storage Spaces  Creating and Connecting to the Master Repository

Introduction: 2 Hrs  Identifying the Course Content  What is Oracle Data Integrator?  Why Oracle Data Integrator?  Overview of ODI 11g Architecture  Overview of ODI 11g Components  About Graphical Modules  Types of ODI Agents  Overview of Oracle Data Integrator Repositories Installations & Configurations: 3Hrs  Oracle 11G Database.  ODI 11G  Configurations Administering ODI Repositories and Agents: 3 Hrs  Administrating the ODI Repositories  Creating Repository Storage Spaces  Creating and Connecting to the Master Repository  Creating and Connecting to the Work Repository  Managing ODI Agents  Creating a Physical Agent  Launching a Listener, Scheduler and Web Agent OD

ODI COURSE @ Sadguru Technologies-08179736190 Introduction: 2 Hrs  Identifying the Course Content  What is Oracle Data Integrator?  Why Oracle Data Integrator?  Overview of ODI 11g Architecture  Overview of ODI 11g Components  About Graphical Modules  Types of ODI Agents  Overview of Oracle Data Integrator Repositories Installations & Configurations: 3Hrs  Oracle 11G Database.  ODI 11G  Configurations Administering ODI Repositories and Agents: 3 Hrs  Administrating the ODI Repositories  Creating Repository Storage Spaces  Creating and Connecting to the Master Repository  Creating and Connecting to the Work Repository  Managing ODI Agents  Creating a Physical Agent  Launching a Listener, Scheduler and Web Agent ODI Topology Concepts: 3 Hrs  Overview of ODI Topology  About Data Servers and Physical Schemas  Defining the Physical Architecture  Defining the Logical Architecture  Mapping Logical and Physical Resources  Defining Agents  Defining a Topology Describing the Physical and Logical Architecture: 2 Hrs  Overview of Topology Navigator  Creating Physical Architecture

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….

Microstrategy Traning at learning hub Magarpatta city /FC Road Pune (+91-93257-93756) www.learninghub.co.in Microstrategy Course Content at Learning Hub Introduction Business Intelligence OLAP Introduction of BI tools Database Overview Introduction to Microstrategy Microstrategy Architecture Microstrategy Desktop Microstrategy Web Microstrategy Servers Administration Folder Structure My Personal Objects Public Object Schema Object Metadata Report View Data – Export Auto Styles Custom Groups Facts Tables Update Scheme Microstrategy Tutorial (Direct) Advance Features Project Configuration Attribute Creation Metric Creation Drill Map Templates Prompt Filter Administration Facts Creation Of Reports Grid Report Analyzing Data Transformations Hierarchies Data Explorer Adhoc Reports Report Creation On Web Searches Documents Joins Experts Features and Administration Project Installation Intelligence Server User Privilege Security Implementation Object Manager Command Manager Formatting Report Administrative Configurations Web Creating Documents Document Properties Dashboards Working with dashboards Narrowcast Server Creating services Configuring Narrowcast server Scheduling reports through narrowcast server Narrowcast server Administration Different execution procedures in Narrowcast server Administration Command manager Enterprise manager Object manager Migration of reports to different environment Security filters Creation of users and Privileges Please Contact- Microstrategy Traning at learning hub Magarpatta city /FC Road Pune (+91-93257-93756) www.learninghub.co.in Microstrategy Course Content at Learning Hub Introduction Business Intelligence OLAP Introduction of BI tools Database Overview Introduction to Microstrategy Microstrategy Architecture Microstrategy Desktop Microstrategy Web Microstrategy Servers Administration Folder Structure My Personal Objects Public Object Schema Object Metadata Report View Data – Export Auto Styles Custom Groups Facts Tables Update Scheme Microstrategy Tutorial (Direct) Advance Features Project Configuration Attribute Creation Metric Creation Drill Map Templates Prompt Filter Administration Facts Creation Of Reports Grid Report Analyzing Data Transformations Hierarchies Data Explorer Adhoc Reports Report Creation On Web Searches Documents Joins Experts Features and Administration Project Installation Intelligence Server User Privilege Security Implementation Object Manager Command Manager Formatting Report Administrative Configurations Web Creating Documents Document Properties Dashboards Working with dashboards Narrowcast Server Creating services Configuring Narrowcast server Scheduling reports through narrowcast server Narrowcast server Administration Different execution procedures in Narrowcast server Administration Command manager Enterprise manager Object manager Migration of reports to different environment Security filters Creation of users and Privileges 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 Microstrategy Online Training, Microstrategy Class Room Training, Microstrategy Training in Magarpatta City, Microstrategy Jobs and Placement, MicrostrategyRemote Support, MicrostrategyOnline Help, Microstrategy Videos training, Microstrategyt raining by Learning Hub, Fast track classes in Microstrategy, Best Microstrategy training institutes in Pune, Best Faculty inMicrostrategy, Best online Faculty in Microstrategy, Professional classroom training inMicrostrategy, Professional online trainingMicrostrategy, Microstrategy Certification ,Microstrategy training in Dubai,MicrostrategyTraining in Melbourne, Microstrategy Training in Dubai, MicrostrategyTraining,MicrostrategyWorkflow Training Microstrategy Training, MicrostrategyOnline Training,Microstrategycertfication and support

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

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,

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

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

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 and...

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

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

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 ..........

​ 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.,

​ 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.,

​ 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.,

​ 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…...

sadguru technologies 8179736190 040-40154733 INTRODUCTION Identifying thhe Course ContentrnWhat is Oracle Data IntegratorrnWhy Oracle Data IntegratorrnOverview of ODI 11g ArchitecturernOverview of ODI 11g ComponentsrnAbout Graphical ModulesrnTypes of ODI AgentsrnOverview of Oracle Data Integrator RepositoriesrnINSTALLATIONS & CONFIGURATIONS Oracle 11G DatabasernODI 11G Weblogic Server 11G ConfigurationsrnADMINISTERING ODI REPOSITORIES AND AGENTS Administrating the ODI RepositoriesrnCreating Repository Storage SpacesrnCreating and Connecting to the Master RepositoryrnCreating and Connecting to the Work RepositoryrnManaging ODI AgentsrnCreating a Physical AgentrnLaunching a Listener, Scheduler and Web AgentrnExample of Load BalancingrnODI TOPOLOGY CONCEPTS Overview of ODI Topology

Module: SAP FICO (Finance & Controlling) SAP FICO is functional Module dealing with complete finance and controlling of any organization. SAP FICO functional consultants work from the perspective finance and controlling in SAP. They are responsible for understanding the current Business Process and subsequently mapping them in SAP. Good SAP FICO Consultant should have thorough understanding of Finance & Controlling and Standard Business Functionalities provided by SAP.  Prerequisite for training  Bachelor degree in commerce  Postgraduate degree / diploma in finance management  Working experience in related field would be an added advantage  Training Course Content • Section-I Enterprise Structure  Define Company  Company code  Business Area  Consolidation Business Area  Functional Area  Credit Control Area  Fiscal Year Variant  Posting period variant  Open and close posting period  Define chart of account  Account Groups  Retained Earnings A/c  Document Types  Define Number Ranges for Document Types  Posting Keys  Define Tolerance limit for GL Accounts and Employees Maintaining Field Status Variant  Define Tax codes for sales & purchase  Enter Global Parameters  Definition and assignment of organizational elements  Document types in sales & distribution • Section-II General Ledger Accounting  Creation of GL Master Data at company code  Chart of Account Segment and Centrally Creation of GL Master with reference  General Posting of Documents  Posting of Sample Documents  Posting Parking & Held Documents  Releasing of parked documents Fast Data Entry • Section-III Recurring Entries  Define Run Schedules  Enter run dates  Posting transactions  Execute run schedule  Create Batch input Session • Section-IV Accounts Payable  Define Account Groups for Vendor Master Data  Define Number Range for Vendor Account Group  Assign Number Ranges to vendor A/c Group  Define Tolerance limit for Customers/Vendors  Creation Of Vendor Master Data Define Alternative reconciliation A/c for Vendors,  Define Accounts for Cash discount taken  Posting of Vendor Invoice  Vendor Payment  Down payment Made  Partial Payment  Residual Payments  Parking of Invoice  Credit Memo  Vendor A/c Clearing  Automatic Payment programme(APP)  Interest Calculation Configuration • Section-V Withholding Tax  Basic Settings for W/Tax  Defining the Calculation Procedure for W/Tax Types and W/Tax Codes  Assign W/Tax Procedure to Vendor Posting • Section-VI Accounts Receivable  Define Customer A/c Group  Define and Assign Number Ranges for Customer A/c Group  Creation of Customer Master Data  Define Alternative Reconciliation A/c  Define Cash discount granted  Customer invoice and payment entry  Customer Down payment  Partial and residual payment  Parking Invoice  Debit Memo  Customer Clearing Section-VII Terms of Payment  Maintain Terms of Payment  Dunning Procedure: Defining Dunning Procedure and Run the Dunning Programme • Section-VIII Bank Accounting  Creation of bank master Data  Creation of check lots  Void Check Cancellation of checks  Bank Reconciliation Statement configurations • Section-IX Asset Accounting  Copy reference chart of deprecation  Asset class  Creation of asset master data  Sub asset creation  Purchase of asset  Sale of asset  Transfer of asset  Deprecation run • Section-X Integration  Integration with MM, SD and Payroll • Section-XI Controlling  Creation of Controlling Area  Define no. ranges for documents of co. version  Trainer’s Profile  Working consultants, Module Leads and Project Managers with CMM level 5 companies  Freelancers  Extensive exposure on various projects covering end-to-end implementation, upgrades, rollouts, enhancements, supports etc.  Excellent flair of consulting and training  Course Duration  Flexible training schedule  60+ hours of class room training  Weekdays & Weekend batches  Course Fee  Rs. 30,000 (INR)  System Access  24X7 access to SAP software via internet across globe.  Additional Features:  Fully comprehensive and practical approach in transferring knowledge  Provision of configuration steps  Provision of study material strictly from interview point of view  Comprehensive test towards the end of the course  Preparation for interview  Reformatting of CV  Contact detail  +91-9325793756 (info@learninghub.co.in)

Hadoop for Developers and Administrators Hadoop for Developers and Administrators Syllabus COURSE CONTENT Traning at hadoop school of training Magarpatta city Pune. (+91-93257-93756) www.hadoopschooloftraining.co.in Next level of development and administration Schedule: Day 1:BigData • Why is Big Data important • What is Big Data • Characteristics of Big Data • How did data become so big • Why should you care about Big Data • Use Cases of Big Data Analysis • What are possible options for analyzing big data • Traditional Distributed Systems • Problems with traditional distributed systems • What is Hadoop • History of Hadoop • How does Hadoop solve Big Data problem • Components of Hadoop • What is HDFS • How HDFS works • What is Mapreduce • How Mapreduce works • How Hadoop works as a system Day2: Hadoop ecosystem • Pig • What is Pig • How it works • An example • Hive • What is Hive • How it works • An example • Flume • What is Flume • How it works • An example • Sqoop • What is Sqoop • How it works • An example • Oozie • What is Oozie • How it works • An example • HDFS in detail • Map Reduce in details Day3: Hands On-¬‐ • VMsetup • Setting up Virtual Machine • Installing Hadoop in Pseudo Distributed mode Day 4: Hands On-¬‐ • Programs • Running your first MapReduce Program • Sqoop Hands on • Flume Hands Day 5: • Multinode cluster setup • Setting up a multimode cluster Day 6: • Planning your Hadoop cluster • Considerations for setting up Hadoop Cluster • Hardware considerations • Software considerations • Other considerations Day 7: Disecting the Wordcount Program • Understanding the Driver • Understanding the Mapper • Understanding the Reducer Day 8: • Diving deeper into MapReduce • API • Understanding combiners • Understanding partitioners • Understanding input formats • Understanding output formats • Distributed Cache • Understanding Counters Day 9: • Common Mapreduce patterns • Sorting Serching • Inverted Indexes Day 10: • Common Mapreduce patterns • TF-IDF • Word-Cooccurance Day 11: • Hands on Mapreduce Day 12: • Hands on Mapreduce Day 13: • Introduction to Pig and Hive • Pig program structure and execution process • Joins • Filtering • Group and Co-Group • Schema merging and redefining schema • Pig functions • Motivation and Understanding Hive • Using Hive Command line Interface • Data types and File Formats • Basic DDL operations • Schema Design Day 14: • Hands on Hive and Pig Day 15: • Advanced Hadoop Concepts • Yarn • Hadoop Federation • Authntication in Hadoop • High Availbability Day 16: • Administration Refresher • Setting up hadoop cluster - Considerations • Most important configurations • Installation options Day 17: • Scheduling in Hadoop • FIFO Scheduler • Fair Scheduler Day 18: • Monitoring your Hadoop Cluster • Monitoring tools available • Ganglia • Monitoring best practices Day 19: • Administration Best practices • Hadoop Administration best practices • Tools of the trade Day 20: • Test • Test – 50 questions test (20- Development releated, 20- • Administration related and 10 Hadoop in General Please Contact- Hadoop School of Training Destination Center, Second Floor Magarpatta City Pune: 411013 Phone: India: +91-93257-93756 USA: 001-347-983-8512 www.hadoopschooloftraining.co.in Email: learninghub01@gmail.com Skype: learning.hub01