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DATASTAGE HANDS-ON LIVE ONLINE TRAINING,CORPORATE TRAINING,INTERVIEW & JOB SUPPORT BY SOFTWARE WORKING PROFESSIONALS Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided Course Curriculum (we can customize the course agenda as per your requirements) DATASTAGE Course Content DW and ETL Concepts • DW Overview • Data Consolidation and Integratiion • ETL Lifecycle • Data cleaning and conforming Information Server components • • Fast track • • Metadata workbench • • Business Glossary • • Information Analyzer • • Information Services Director • • Blueprint Director • • Deployment tool Web Console Administration • Managing users and groups • Managing user credentials Datastage Administrator • Project Administration • Setting Environment Variables • Managing Logs • Enabling RCP • User Roles and Permissions • Lab Exercises Datastage Architecture • Design time architecture • Run time architecture • Partition and pipeline parallelism Server Jobs • Server Vs Parallel jobs • Can I convert Server jobs to Parallel Jobs? • Architectural differences • Different stages • BASIC Programming • Containers Datastage Director • Director User Interface • Compiling single and multiple jobs • Validate, Run,Reset, Restart jobs • Scheduling Jobs • Checking logs • Performance monitor on designer • Logs for sequence jobs Importing Metadata • Sequential file metadata imports • Schemas • Direct import from database • Importing Shared metadata • Lab Exercises Handling files • Sequential filestage • Complex flat file stage • File formats • Managing huge files • Performance considerations • Rejecting invlaid data • Lab Exercises Parallel Job Stages • File stages • Database stages • Processing stages • Debug stages • Sequence job stages • Pivot stage • SCD Stage Handling input data • Processing file based data • Handling relational input data • Processing incremental data • Staging area • Lab Exercises Environment variables • Understaning the environment variables • Parallel • Buffering • Reporting • Monitoring • Database specific End to end ETL developmenmt task – Case study Troubleshooting Performance enhancements Best Practices Data quality

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Despite the high price to pay for an MBA degree, it is still considered a worthwhile investment. This is because an MBA degree is a useful qualification to have. It can enable an individual to progress successfully in his or her career. If you are considering whether to enroll in an MBA course, you should find out what an MBA degree can do for you. Admission services for admissions in MBA through management quota. Looking for admissions in MBA through management quota then contact us @ About us- Admission services for admissions in MBA through management quota Bridge career solution, is one of the unique Admission Consultancy center in Bangalore. It is located in Bangalore which has been providing consultancy service in the field of admission guidance in various courses. We provide a proper counseling for student throughout India. 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'Computer Based Test' assumes that the candidate has basic familiarity with use of computers like use of keyboard and mouse operation. It is the responsibility of the candidate to acquire these skills before appearing in the test and AIMA cannot take responsibility for the same. Online MAT is offered over a period of time and the candidate can choose the center, the day and time of his/her convenience to take the test. This is unlike the Paper Based Test, which is generally offered on a single day to all candidates. In traditional Paper Based Test, Candidate is supposed to bring Pen, HB-Pencils, Erasers and Sharper with him/her whereas the Question Paper & OMR Answer Sheet is provided at the Test Centre. MAT Eligibility The minimum qualification for appearing in MAT is graduation in any discipline from any recognized University or equivalent. A final year student in any undergraduate (i.e. B.A, B.Sc., B.Com, B.Tech., etc.) can also apply. 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FOR FREE DEMO contact us at: Phone/WhatsApp: +91-(850) 012-2107 HADOOP ONLINE TRAINING BY REALTIME CORPORATE PROFESSIONALS Hadoop Course Content (we can customize the course content as per your requirement) HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice Phone/WhatsApp: +91-(850) 012-2107

BIGDATA –HADOOP REALTIME TRAINING,JOB SUPPORT,INTERVIEW SUPPORT BY HANDS-ON EXPERTS Phone/WhatsApp: +91-(850) 012-2107 Course Content HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice

BEST HADOOP LIVE TRAINING BY REALTIME CORPORATE PROFESSIONALS Hadoop Course Agenda (we can customize the course content as per your requirement) HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice

Demo has Scheduled Today BEST HADOOP ONLINE CERTIFICATION LEVEL TRAINING FROM HYDERABAD,INDIA FOR FREE DEMO contact us: Phone/WhatsApp: +91-(850) 012-2107 Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided Hadoop Key Concepts (we can modify the course content as per your requirement) HADOOP Using Cloudera Development & Admin Course Introduction:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice Phone/WhatsApp: +91-(850) 012-2107

HADOOP ONLINE TRAINING,CORPORATE TRAINING,JOB AND INTERVIEW SUPPORT BY CORPORATE PROFESSIONALS Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided Hadoop Concepts (we can modify the course content as per your requirement) HADOOP ADMIN AND DEVELOPMENT Introduction:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice

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Oracle Identity and Access Management 11g R1  Complete practical approach, right from installation to configuration and admin(Hands on approach)  All configuration documents, so that you can implement on your own.  Topic Explanation followed by practical demonstration.  Complete Suite Implementation (OAM, OIM, OID), RCU, Webgate, OHS, BI Publisher, ODSEE, Custom Applications. 1) OAM 11g - Around 30+ hours • Oracle Identity and Access Management Suite 11g Component Overview (OAM, OIM, OID, OVD, ODSM, OAAM) • Installation and configuration of Oracle Access Manager(DB, RCU, Weblogic, OAM, OID) • OHS 11g installation • Configuration of OHS 11g Instances • Installation of OAM 11g WebGate11gR2 • Create a New Domain and Configure the OAM Server • Configuring Database Security Store for the Domain • Register the OAM 11g R2 WebGate with OAM 11g R2 Server • Working with WLS Embedded LDAP Directory and Default OAM User Identity Store • Configuring and working with OID as the New Identity Store for OAM • Creating OID Authenticator • Making Use of OID as the User Store for OAM Authentication • Deploying Custom Application • Unprotect and protect the application • Configuring Single Sign On for the deployed application. • Managing resources, Authentication Policies, Authorization Policies. • Managing constraint. • Single Sign-On and Session Management • Customizing the login page. • Demonstrating the Single Sign on • Observing Cookies. • Working with Identity Constraint, Authentication Schemes • Session Management • Customize Login Page 2) OIM 11g - Around 30+ Hours • OIM 11g Overview • Will cover all latest topic of OIM11gR2 with practical demonstration(Application Instance, Sandboxes(Sandbox import/Export) and Checkout/Cart,Scheduled Jobs, Lookup Configuration, Creating Entitlement, Password Policy) • Installation of Oracle Identity Manager Suite/ SOA Suite / OUD Server(As sample application). • Configuring Oracle Identity Manager. • Working with OIM Design Console, Administrative and User Console • create and manage records for organizations, roles, and users • Installing Oracle Directory Server EE, Configuring ODSEE/OUD(creating prefixes, loading sample data) • Importing and using a predefined connector (ODSEE/OUD) for OIM. • Working with Connector • Direct provisioning • Working with auto membership rules and access policies (Auto Provisioning or Criteria Based Provisioning) • Modifying provisioning process. • Working with provisioning process. • Working with workflow approvals, creating/modifying approval policies, request templates and managing requests created by a user. • Working with JDeveloper - Deploy and Register Custom SOA Composites • Working with requests. • Implementing authoritative and account reconciliation workflows for OIM. • Managing user access in OIM. • Working with authorization policies. • OIM - Admin and troubleshooting. Approach for both OIM and OAM is, take sample applications and demonstrate how things work in an enterprise.

Oracle Identity and Access Management 11g R1 Complete practical approach, right from installation to configuration and admin(Hands on approach) All configuration documents, so that you can implement on your own. Topic Explanation followed by practical demonstration. Complete Suite Implementation (OAM, OIM, OID), RCU, Webgate, OHS, BI Publisher, ODSEE, Custom Applications. 1) OAM 11g - Around 30+ hours •Oracle Identity and Access Management Suite 11g Component Overview (OAM, OIM, OID, OVD, ODSM, OAAM) •Installation and configuration of Oracle Access Manager(DB, RCU, Weblogic, OAM, OID) •OHS 11g installation •Configuration of OHS 11g Instances •Installation of OAM 11g WebGate11gR2 •Create a New Domain and Configure the OAM Server •Configuring Database Security Store for the Domain •Register the OAM 11g R2 WebGate with OAM 11g R2 Server •Working with WLS Embedded LDAP Directory and Default OAM User Identity Store •Configuring and working with OID as the New Identity Store for OAM •Creating OID Authenticator •Making Use of OID as the User Store for OAM Authentication •Deploying Custom Application •Unprotect and protect the application •Configuring Single Sign On for the deployed application. •Managing resources, Authentication Policies, Authorization Policies. •Managing constraint. •Single Sign-On and Session Management •Customizing the login page. •Demonstrating the Single Sign on •Observing Cookies. •Working with Identity Constraint, Authentication Schemes •Session Management •Customize Login Page 2) OIM 11g - Around 30+ Hours •OIM 11g Overview •Will cover all latest topic of OIM11gR2 with practical demonstration(Application Instance, Sandboxes(Sandbox import/Export) and Checkout/Cart,Scheduled Jobs, Lookup Configuration, Creating Entitlement, Password Policy) •Installation of Oracle Identity Manager Suite/ SOA Suite / OUD Server(As sample application). •Configuring Oracle Identity Manager. •Working with OIM Design Console, Administrative and User Console •create and manage records for organizations, roles, and users •Installing Oracle Directory Server EE, Configuring ODSEE/OUD(creating prefixes, loading sample data) •Importing and using a predefined connector (ODSEE/OUD) for OIM. •Working with Connector •Direct provisioning •Working with auto membership rules and access policies (Auto Provisioning or Criteria Based Provisioning) •Modifying provisioning process. •Working with provisioning process. •Working with workflow approvals, creating/modifying approval policies, request templates and managing requests created by a user. •Working with JDeveloper - Deploy and Register Custom SOA Composites •Working with requests. •Implementing authoritative and account reconciliation workflows for OIM. •Managing user access in OIM. •Working with authorization policies. •OIM - Admin and troubleshooting. Approach for both OIM and OAM is, take sample applications and demonstrate how things work in an enterprise. Dear Friend, Sadguru Technologies is a Leading IT training center for Oracle Fusion Middleware courses. We are providing all below listed courses in both format CLASS ROOM as well as ONLINE and as per your convenient timings. We also provide Corporate Training and work support. Courses Offered by Sadguru Technologies: 1. Oracle Service Oriented Architecture(SOA) suite11g Development 2. WebLogic & SOA Administration(Fusion Admin) 3. Oracle Service Bus(OSB) 4. Oracle Application Integration Architecture (AIA) 5. Oracle Business Process Management (BPM) 6. Oracle Application Development Framework (ADF) 7. Oracle Identity & Access Management (IDM) 8. Oracle Application Framework(OAF) 9. OBIEE, Informatica & DAC 10. Oracle Data Integrator (ODI) 11. Oracle Hyperion 12. Oracle Apps (Functional, Technical,SCM) 13. Business Analyst (BA) 14. Sales Force CRM & Siebel CRM 15. JAVA 16. HADOOP 17. Micro Soft Dynamics AX(MSDAX) 18. Testing Tools 19. TIBCO 20. Unix & Linux Contact Us: SADGURU TECHNOLOGIES H. No: , Flat No: 102, SaiManor Apartment, S.R. Nagar Main Road, Hyderabad-, Landmark: Beside Umesh Chandra Statue,Mob: 91-, Ph: 040-

Oracle Identity and Access Management 11g R1 Complete practical approach, right from installation to configuration and admin(Hands on approach) All configuration documents, so that you can implement on your own. Topic Explanation followed by practical demonstration. Complete Suite Implementation (OAM, OIM, OID), RCU, Webgate, OHS, BI Publisher, ODSEE, Custom Applications. 1) OAM 11g - Around 30+ hours •Oracle Identity and Access Management Suite 11g Component Overview (OAM, OIM, OID, OVD, ODSM, OAAM) •Installation and configuration of Oracle Access Manager(DB, RCU, Weblogic, OAM, OID) •OHS 11g installation •Configuration of OHS 11g Instances •Installation of OAM 11g WebGate11gR2 •Create a New Domain and Configure the OAM Server •Configuring Database Security Store for the Domain •Register the OAM 11g R2 WebGate with OAM 11g R2 Server •Working with WLS Embedded LDAP Directory and Default OAM User Identity Store •Configuring and working with OID as the New Identity Store for OAM •Creating OID Authenticator •Making Use of OID as the User Store for OAM Authentication •Deploying Custom Application •Unprotect and protect the application •Configuring Single Sign On for the deployed application. •Managing resources, Authentication Policies, Authorization Policies. •Managing constraint. •Single Sign-On and Session Management •Customizing the login page. •Demonstrating the Single Sign on •Observing Cookies. •Working with Identity Constraint, Authentication Schemes •Session Management •Customize Login Page 2) OIM 11g - Around 30+ Hours •OIM 11g Overview •Will cover all latest topic of OIM11gR2 with practical demonstration(Application Instance, Sandboxes(Sandbox import/Export) and Checkout/Cart,Scheduled Jobs, Lookup Configuration, Creating Entitlement, Password Policy) •Installation of Oracle Identity Manager Suite/ SOA Suite / OUD Server(As sample application). •Configuring Oracle Identity Manager. •Working with OIM Design Console, Administrative and User Console •create and manage records for organizations, roles, and users •Installing Oracle Directory Server EE, Configuring ODSEE/OUD(creating prefixes, loading sample data) •Importing and using a predefined connector (ODSEE/OUD) for OIM. •Working with Connector •Direct provisioning •Working with auto membership rules and access policies (Auto Provisioning or Criteria Based Provisioning) •Modifying provisioning process. •Working with provisioning process. •Working with workflow approvals, creating/modifying approval policies, request templates and managing requests created by a user. •Working with JDeveloper - Deploy and Register Custom SOA Composites •Working with requests. •Implementing authoritative and account reconciliation workflows for OIM. •Managing user access in OIM. •Working with authorization policies. •OIM - Admin and troubleshooting. Approach for both OIM and OAM is, take sample applications and demonstrate how things work in an enterprise. Dear Friend, Sadguru Technologies is a Leading IT training center for Oracle Fusion Middleware courses. We are providing all below listed courses in both format CLASS ROOM as well as ONLINE and as per your convenient timings. We also provide Corporate Training and work support. Courses Offered by Sadguru Technologies: 1. Oracle Service Oriented Architecture(SOA) suite11g Development 2. WebLogic & SOA Administration(Fusion Admin) 3. Oracle Service Bus(OSB) 4. Oracle Application Integration Architecture (AIA) 5. Oracle Business Process Management (BPM) 6. Oracle Application Development Framework (ADF) 7. Oracle Identity & Access Management (IDM) 8. Oracle Application Framework(OAF) 9. OBIEE, Informatica & DAC 10. Oracle Data Integrator (ODI) 11. Oracle Hyperion 12. Oracle Apps (Functional, Technical,SCM) 13. Business Analyst (BA) 14. Sales Force CRM & Siebel CRM 15. JAVA 16. HADOOP 17. Micro Soft Dynamics AX(MSDAX) 18. Testing Tools 19. TIBCO 20. Unix & Linux Contact Us: SADGURU TECHNOLOGIES H. No: , Flat No: 102, SaiManor Apartment, S.R. Nagar Main Road, Hyderabad-, Landmark: Beside Umesh Chandra Statue,Mob: 91-, Ph: 040-, Email: www.sadgurutechnologies.com