Phases

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QA Testing Course Content: MANUAL TESTING SDLC 1. What are the different phases of SDLC? 2. How does the process of Software Development Start? 3. Project Initiation 4. Requirement Gathering and Analysis 5. What is Requirement document and what it contains? 6. What is use case document and what it contains? 7. What is Basic path and Alternate Path? 8. Role of Business Analyst 9. Example for explaining each phase 10. Role of technical specification team 11. What is Technical specification document? 12. What is System Design? 13. Role of Design team 14. What is design document? 15. Role of architecture team 16. System development 17. Role of development team 18. Deliverable of Development phase 19. System testing 20. Role of testers and types of testing 21. User acceptance testing 22. System deployment 23. System maintenance 24. Events in the maintenance phase like bug fixes 25. STLC 26. How are the phases of STLC carried out? 27. What is testing? 28. Role of testers 29. Why do we need to test? 30. Activities involved in the testing phase 31. What is test plan and test case document? 32. Steps of test case execution 33. What does test case document contain? 34. How to write test case document? 35. What is required to test any application? TEST CASES 1. What is test case? 2. What does test case document contain? 3. How to write test case document? 4. Different test case techniques TEST PLAN 1. What is Test Plan? 2. How to write test plan document? 3. What does the test plan document contain? 4. Who writes and approves the test plan document? 5. How manage the test case documents? 6. What is the pass/fail criterion? TYPES OF TESTING 1. Different Phases of testing 2. What is unit testing? 3. What is Minimum acceptance testing? 4. What is integration, system and system integration testing? 5. What is User acceptance testing? 6. What is Regression Testing? DEFECT ANALYSIS 1. What is a defect? 2. Various Defect tracking tools 3. How to use the defect tracking tools? 4. How to enter the details of defect in the defect tracking tool? 5. How to identify a defect? What is severity and priority? TRACEABILITY MATRIX 1. What is Traceability Matrix[TM]? 2. Who Prepares the TM document? 3. What is the reference for writing TM? 4. What is the use of TM? 5. What is present in the TM document? 6. Sample TM 7. Tools used for developing TM Various Teams and their Roles 1. Configuration Management Team 2. Role of configuration management team 3. What is Deployment? 4. Deployment Team 5. Role of Deployment team 6. Version Control 7. Various version tools and its usage 8. Difference between QC and QA 9. What is automation testing? 10. Why, what and when to automate? 11. Various tools used for automation testing MANAGEMENT TOOL QUALITY CENTER 1. Introduction to Quality Center 2. What is Quality Center ? 3. Why to use Quality Center 4. Version of Quality Center 5. Overview of quality Center user interface 6. Various tabs in Quality center 7. Requirement Module 8. Requirement Module Overview 9. Creating Requirement tree 10. Creating Parent & Child requirements 11. Understanding the Description tab 12. Understanding the History tab 13. Uploading attachments to requirement 14. A glance at various columns in requirement 15. Types of views in requirement module 16. Requirement grid view 17. Requirement coverage view 18. Test Plan Module 19. Creating folder structure 20. Create test cases 21. Requirement coverage 22. Test Lab Module 23. Overview of Test Lab 24. Detail of various tabs 25. Creating folders 26. Creating Test sets 27. Adding test cases 28. Different columns in Execution Grid 29. Execution Flow tab 30. Scheduling Test runs 31. Test Set Properties tab 32. Linked Defects tab 33. Running Tests manually 34. Running Tests automatically 35. Viewing Test results Quality Center Defects Overview of Defects 1. Creating defects after test execution 2. Adding defects in defect module 3. Creating defects during test execution 4. Linking Defects 5. How to close a defect 6. Closing defects after retest 7. Mailing the defects 8. Quality Center reports & graphs 9. Why Reports & Graphs? 10. How to create reports & graphs for Analysis? AUTOMATION TESTING: QUICK TEST PROFESSIONAL 1. Introduction to QTP 2. What is QTP 3. Prepare Before Automation 4. Application Under Test 5. First look at Add-Ins for QTP 6. Understanding the QTP User Interface Setting up preferences in QTP before recording. 1. Different versions of QTP(Text based) 2. Difference between QTP 9.0 and QTP 8.2. 3. Difference between QTP 9.2 and QTP 9.0 4. Difference between QTP 9.5 and QTP 9.2. • Record and run a script • Record a simple script • Save the script • Run the test script • Understand the result Introduction to Object Repository 1. What is Object Repository 2. Types of Object Repository 3. Object Repository Manager 4. Associating shared Object Repository with test 5. Shared Object Repository 6. Local Object Repository 7. Create a shared Object Repository 8. Add objects to shared Object Repository 9. Save an shared Object Repository 10. Modify the shared Object Repository 11. Comparing Local and Shared Object Repository Synchronization 1. What is Synchronization 2. Synchronization in QTP 3. Add Synchronization Steps for an Object Check Point 1. What is Check Point 2. Using Standard Check Point 3. Using Text Check Point 4. Using Access ability check point 5. Using XML Check Point Database checkpoint 1. What is database checkpoint 2. Writing SQL Query using Microsoft Query 3. Parameterize a database checkpoint 4. Output Values 5. What is Output value 6. Using Standard Output value 7. Using Text Output value 8. Using Database Output value 9. Using XML Output value Data Driven Test 1. What is Data Driven test 2. What is Parameterization http://trainingforu.blogspot.in/ Contact Person: Ashwini (M) 09620914455. Email: ashwini.hbst@gmail.com For More Details: Contact or Consult Our Office Once.

LOOKING FOR ADVANCED SAP PP TRAINING…. PP Course content * Covering all types of industries like, Discrete manf. Repetetive manf. Process ind. Project based ind. * ENTERPRISE STRUCTURE Creation(Organition unit): (Covering FI,CO,MM & PP) Finance Acc. Controlling Log.-Gen. Mat. mang. * MASTER DATA: Material master BOM Work center PRT Routing Production version * PRODUCT COST PLANNING Profit center Cost center Cost element primary Cost element Secondary Activity type * PLAN ORDER Creation SOP-Std. SOP-Flexible Planned ind. req. W/o MRP * CAPACITY PLANNING * CAPACITY LEVELLING * Conversion of Plan ord. into Production ord. * Goods issue * Order confirmation * Goods receipt * Stock verification * Ord. information system * VARIANT CONFIGURATION * KANBAN * PROJECT details, Types Tools used Phases CONFIGURATION/CUST. Role of Functional Consultant http://trainingforu.blogspot.in/ Contact Person: Ashwini (M) 09620914455. Email: ashwini.hbst@gmail.com For More Details: Contact or Consult Our Office Once.

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, 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 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

We offered training on SAP SD by industry experienced trainer Sap sd course Syllabus Sales Overview * Process in Sales and Distribution * Basics in Sales and Distribution transaction * Sales doc structure * Presales process to complete sales doc. * Sales transaction and its basics * Sales Organizations and enterprise architecture. * Sales org's units and its contents creation and assigning * Org units in sales process and objectives: Enterprise overview and creation with cross module overview: * Overview of Enterprise structure and its relationship with MM and FI view * Transaction process and its relationship. * Relation between Fi and SD. * Creation of org structures in Sales area and its corresponding units. Sales order creation and understand the business needs and information process and its relation. * Sales order processing from the SAP point of view. * Information process in sales view: Where and how the sales order is being processed. * Understand and create Business partners and master data. * Automatic information process in sales view :: e.g.: plants * Exploring business process in sales order.: changes to sales order docs * Understand the sales process blocks. The behavior and control of sales docs with sales doc types. * The business objectives and its importance. * Function and process in controlling and customizing sales doc types * Business process in sales and its functions * phases in sales and its doc category types and how to control sales doc types * Doc types functions * Customizing doc types for sales process and assigning to specific sales areas. * Process and functions and customizing of the sales doc types. * Sales doc types and its comparison Modifying the sales doc types with item category according to the business needs. * Key Process in determining and customizing the item categories and its examples and its purpose. * Item category functionality overview, and variation, and its outcome. * Creating of Item category and linking them to customized sales doc types. * Item Categories and item Category Determination. * BOM : Bills of materials in sales doc and its purpose in sales process * How to create and process with different functionality and its rules. Sales document and item schedule control. * The nature of the doc type and its categories: schedule line and its functionality. * Exploring schedule line categories. * The process and functions in creating and linking schedule line categories to sales doc types. The flow of screens in sales and data transformation from doc type to doc type. * Understanding of doc flow and completion status of the doc process. * Copying control in Sales docs and its usage. Special Business sales process and its transaction. * Order types, output types, and how delivery is planned if certain goods are to be free or priced. * Consignments: business process and its various special issues in business process. * The nature of the order type and the business requirements. Fill-up, pickup, issues, billing. Document process in Incompletion. * What are the impacts of incompletion rule and its behavior in sales docs. * How to customizing the incompletion for a given sales doc. * Controlling the Incompletion log. * At what level it is used and how. What and who are business partners and its determination. * How to configure the business partners and its business needs. * Partner functions and nature of relationship. * Partners in sales process. * Customers Master and Account Group. * Role of partner function per account groups. * Partner determination and its procedures. * Partner determination for sales docs. Outline agreements and its overview. * Understanding of outline agreements. * Sales doc types for different outline agreements. * How to schedule outline agreement. * Quantity contract. * Messages about open outline agreements. * How the data is activated for contracts; and * how to determine the dates for these kind of contract agreements * Creation and exploring them to complete the process in agreements. * Scheduling agreements, Rental contract, value contract and Partners authorization to release. * Customizing for item categories in the value contract. Material Determination. * Material inclusion and mat Exclusion * Creation of Material Determination Master Record * Procedure in condition technique listing and exclusion * Hands on material determination and product selection and material Listing and material Exclusion. Free goods and its sales process. * Understanding business process and needs in free goods concept overview * Exploring free goods and customizing free goods. * Hands on free goods process. Condition technique, free goods master data, free goods calculation rule. Please call arun on 9845382820 Techsys, Basaveshwaranagar, (near havanoor Circle) Bangalore - 79

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.,

​ 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 • 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…...

Peridot Systems is the one of the best IT training institute in Chennai. We provide real time training with experienced faculties who are currently working in top 5 Level MNC’s. Training will be completely practical oriented training and we will arrange placements with referral interviews. Why do we prefer Peridot??  100% placement assistance  Referral interviews  We limit the batch size for good interaction with the faculties  We provide unlimited lab facility  One year technical support  Hands on knowledge about the subject About Informatica ETL testing: ETL refers to Extract-Transform-Load, Extract data from homo and hetero data sources, Transform that data to proper format and Loads to final Target. All these three phases executes in parallel. The first part involves extracts the data, this is the most important aspect of ETL. The transformation phase stage applies some rules or functions to the extracted data. The load phase loads the content to the end file. For further details visit our website: www.peridotsystems.in Our venue: LB road, Adyar Depot, Chennai-600020

Bridge International College MBBS Admission opens 2015 Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila America University (TAU), Guyana. Programs Offered MBBS (BSMD - 5.5 Years) Texila American University renders a highly focused Doctor of Medicine program for the students who have completed their 12 years of schooling. Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com

Bridge International College MBBS Admission Chennai Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila America University, Guyana. TAU Accreditations Registered with National Accreditation council of Guyana (Which is governed by Ministry of Education) TAU has been added to register of participants in United Nations Global Compact program. Listed in WHO (World Health Organization) Handbook. Listed in IMED (International Medical Education Directory) Programs Offered MBBS (BSMD - 5.5 Years) Texila American University renders a highly focused Doctor of Medicine program for the students who have completed their 12 years of schooling. Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com

Bridge International College MBBS Admission Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila America University, Guyana. Texila American University (TAU) The curriculum at the TAU is structured after the best US and Caribbean medical schools. The academic program is both accelerated and rigorous, with a focus on preparing students for licensure in the United States, Caribbean and India. Programs Offered MBBS (BSMD - 5.5 Years) Texila American University renders a highly focused Doctor of Medicine program for the students who have completed their 12 years of schooling. Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com

Bridge International College MBBS Admissions Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila America University, Guyana. TAU Accreditations Member of IADR (International Association for Dental Research) Member of GAME (Global Alliance for Medical Education) Member of AMEE (International Association for Medical Education) Our Clinical research program has received accreditation from SWAPP (Swiss Association of Pharmaceutical Professionals). Programs Offered MBBS (BSMD - 5.5 Years) Texila American University renders a highly focused Doctor of Medicine program for the students who have completed their 12 years of schooling. Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com

Study MBBS @ Bridge International College Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila America University, Guyana. MBBS (BSMD - 5.5 Years -USA Track) In the BSMD USA Track program, the students pursue the Premedical and Preclinical in Guyana. The Clinical Rotations will be pursued in the USA Programs Offered MBBS (BSMD - 5.5 Years) Texila American University renders a highly focused Doctor of Medicine program for the students who have completed their 12 years of schooling. Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com

Study MBBS in USA & Settle in USA Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila America University, Guyana. Texila America University Why TAU Well equipped laboratories for pre-clinical studies and affiliated with Georgetown Public Hospital for clinical Rotations. TAU offers more number of practical and lab based education system to its students to provide a strong foundation for understanding the core subjects. Community clinical experiences provided through the outreach programs. Programs Offered MBBS (BSMD - 5.5 Years) Texila American University renders a highly focused Doctor of Medicine program for the students who have completed their 12 years of schooling. Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com

Bridge International College MBBS Admission 2015 Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila America University, Guyana. About Texila American University (TAU) Texila American University(TAU) is located in Guyana, the only English-Speaking country in America.TAU Offers Health Science programs with a high level of professionalism, exactness and problem solving skills, upon which the foundations of specialist training and an independent medical practice. Programs Offered MBBS (BSMD - 5.5 Years) Texila American University renders a highly focused Doctor of Medicine program for the students who have completed their 12 years of schooling. Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com

Study MBBS 1.5Years in Chennai & 4 Years in USA Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila America University, Guyana. Texila America University, Guyana Why TAU Attractive additional options to do complete clinical rotations in Asia, Africa, etc., Preparation for the National Council Licensure Examination for Registered Nurses (NCLEX-RN). Part time working option-Can earn up to $400 per month in Hospital & Clinics Clinical trainings in affiliated hospitals in USA or UK Programs Offered MBBS (BSMD - 5.5 Years) Texila American University renders a highly focused Doctor of Medicine program for the students who have completed their 12 years of schooling. Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com

MBBS Admission 2015-India Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila American University, Guyana. Programs Offered MBBS (BSMD - 5.5 Years) Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA TAU Infrastructure The University is facilitated with fully equipped laboratories for students to get practical based education. Anatomy Lab & Museum Biochemistry, Chemistry & Genetics lab Microbiology & Biology Lab Histology & Pathology Lab For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com

MBBS Admission 2015 - Chennai Bridge International College started the BSMD (5.5 Years) Course by signing articulation with the University in South America which is Texila American University, Guyana. Hostel & Safety The hostel and campus are Wi-Fi enabled and are well secured with security services and CCTV surveillance. Enter wise separate hostel facility for the students. Programs Offered MBBS (BSMD - 5.5 Years) Eligibility: ‘A level or 12 years of schooling with Science background Three phases of the program Premedical (1.5 Years) Chennai Preclinical (2 Years) South America Clinical Rotations (2 Years) USA For Admission Details Contact: Bridge International College Admission Coordinator Mobile NO: 9087333399 Landline No: 044 65 330 880 Email:info@bridgeinternationalcollege.com Web: www.bridgeinternationalcollege.com