• Урок 1. 00:07:21
    Welcome! Thank you for learning the ETL Testing Course with me!
  • Урок 2. 00:04:52
    What is Data Testing/ETL Testing and the Challenges in ETL testing?
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    What will be the future of ETL tools/testing as big data is getting popular?
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    Master Data Warehouse Concepts, Step by Step from Scratch
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    Is Data Warehouse still relevant in the age of Big Data?
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    What is Data?
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    Why Data Warehouse is implemented?
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    What is a Data Warehouse?
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    What is a Data Mart?
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    Fundamental difference between Data Warehouse and Data Mart
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    Advantages of a Data Mart
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    Characteristics of a Data Mart
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    Disadvantages of a Data Mart
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    Mistakes and Misconceptions of a Data Mart
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    Revised: Enterprise Architecture or Centralized Architecture
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    Revised: Federated Data Warehouse Architecture
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    Multi Tired Architecture
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    Components of a Data Warehouse Architecture
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    Purpose of a Staging Area in Data Warehouse Architecture - Part 1
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    Purpose of a Staging Area in Data Warehouse Architecture - Part 2
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    What is Data Modeling?
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    Why should a Tester know Data Modeling?
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    Data Modeling Techniques
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    ER Data Model
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    Dimensional Model
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    Differences between ER Model and Dimensional Model
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    Different phases required to build a Dimensional Data Model
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    Business Requirements
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    CDM - Conceptual Data Model
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    LDM - Logical Data Model
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    Physical Data Model
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    Database
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    What is a Dimension Table?
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    What is a Fact Table?
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    Additive Facts
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    Semi Additive Facts
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    Non-Additive Facts
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    Fact less Facts
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    What is a Star Schema?
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    What is a Snow Flake Schema?
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    Galaxy Schema or Fact Constellation Schema
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    Snow Flake Vs Star Schema
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    Conformed Dimensions
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    Junk Dimensions
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    Degenerate Dimensions
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    Role Playing Dimensions
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    Slowly Changing Dimensions - Intro and Example Creation
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    Slowly Changing Dimensions (SCD) Type 1, 2, 3
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    Slowly Changing Dimensions - Summary
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    What is Data Integration?
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    What is ETL?
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    Data Acquisition
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    Data Transformation
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    Common Questions and Summary
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    ETL - Explained
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    ELT - Explained
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    ETL Vs ELT
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    Project Sponsor
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    Project Manager
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    Functional Analyst or Business Analyst
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    SME - Subject Matter Expert
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    DW BI Architect and Data Modeler
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    DWH Tech Admin
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    ETL Developers
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    BI OLAP Developers
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    ETL Testers / QA Group
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    DB UNIX Network Admins
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    Data Architect, Data Warehouse Architect, BI Architect and Solution Architect
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    Final Note about the Roles
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    Different phases in DW/BI/ETL Implementation Approach
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    Knowledge Capture Sessions
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    Requirements
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    Architecture Phase
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    Data Model/Database
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    ETL Phase
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    Data Access Phase
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    Data Access Types - Selection
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    Data Access Types - Drilling Down
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    Data Access Types - Exception Reporting
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    Data Access Types - Calculations
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    Data Access Types - Graphics and Visualization
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    Data Access Types -Data Entry Options
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    Data Access Types - Customization
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    Data Access Types - WebBased Reporting
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    Data Access Types - BroadCasting
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    Deploy
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    Iterative Approach
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    Introduction and Knowledge Capture Sessions
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    Test Strategy and Plan
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    Define Test Framework
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    Assess Source & Target Components
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    Test ETL - The Data Centric Method
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    System and Integration Testing
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    Regression Testing
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    Performance Testing
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    Acceptance Test
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    Different Categories Of DWH Projects
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    New DataWarehouse SetUp
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    Migration Testing - Includes Data Migration
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    Change Requests - For Existing Projects
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    OLAP/Dashboard/Report Testing
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    Knowledge of the project or the application
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    Analysis of the specifications provided by the clients
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    Approve requirements and design specifications
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    Create and Maintain the test strategy document
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    Design the Test Cases as per the Test plan
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    Estimate the efforts required to design the test cases and execute the project​
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    Tracability of requirements to test cases
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    Define Exit and Entrance criteria
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    Creating Test Plan, Test Scenario, Test Cases & Test Scripts to validate source
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    Test data creation
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    Creating and Maintaining Reusable Scripts and Execute Test Scripts
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    Execute backend data-driven test cases
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    Client Co-ordination and Incorporate UAT Test cases and Identify Bugs
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    Other Roles and Responsibilites
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    Database Testing Vs GUI Testing
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    Structural Database Testing
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    Functional Database Testing
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    Functional Database Testing - Part 2
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    Non Functional Database Testing
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    Summary of Database Testing
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    What is Data Testing/ETL Testing and the Challenges in ETL testing?
  • Урок 123. 00:07:16
    What will be the future of ETL tools/testing as big data is getting popular?
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    Database Testing and ETL Testing
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    Differences between Database Testing and ETL Testing
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    Database testing during ETL Testing - Explained with a project setup
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    Bug Reports
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    After Finding the Defect
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    Writing the Bug Summary
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    Using Appropriate Language/Phrases
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    Steps to Reproduce the Defect
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    Including Test Data
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    Including Screen Shots
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    Severity / Priority
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    Logs
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    Other Information
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    Introduction to the common causes for defects
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    Insufficient/Incorrect Requirements
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    Assumptions/Mis-Understanding
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    Wrong Decision During The Design
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    Good Programmers With Wrong Goals
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    Complexity
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    Time Constriants
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    Frequently Changing Business Requirements
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    Reporting the discrepancy
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    Communicating the discrepancy
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    Escalating the discrepancy
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    Generating Metrics
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    Critical Issue Severity
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    High Severity Issues
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    Medium Severity Issues
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    Low Severity Issues
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    Defect Status Category Labels
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    Metadata Testing
  • Урок 155. 00:05:12
    Data Completeness Testing
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    Data Quality Testing - Data Duplicates
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    Data Quality Testing - Business Validation and Rules
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    Data Transformation - White Box Testing
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    Data Transformation - Black Box Testing
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    ETL Regression Testing
  • Урок 161. 00:05:42
    Reference Data Testing
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    Incremental ETL Testing
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    ETL Integration Testing
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    ETL Performance Testing
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    Different Types of Enterprise Databases
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    Different ETL tools available in the Market
  • Урок 167. 00:03:14
    Which ETL tool should you learn, if you are starting with ETL testing now?
  • Урок 168. 00:19:34
    Informatica Power Center Architecture
  • Урок 169. 00:19:04
    Pre Installation Steps & System Pre-Requisites
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    Quick Tip: Product Availability Matrix - PAM
  • Урок 171. 00:09:16
    Download Software
  • Урок 172. 00:13:29
    Oracle 11g Installation and SQL Developer Configuration
  • Урок 173. 00:01:46
    Too Many Files!! Which one should I download?
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    Extract the Informatica Downloaded files
  • Урок 175. 00:17:01
    Power Center Server Installation
  • Урок 176. 00:02:31
    Power Center Client Installation
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    Administration Console Introduction
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    List of Services Available
  • Урок 179. 00:18:15
    Repository Service Creation
  • Урок 180. 00:18:03
    Setting up Integration Service
  • Урок 181. 00:13:17
    Repository Configuration and Folder Creation
  • Урок 182. 00:12:22
    Basic File directory structures
  • Урок 183. 00:12:55
    Client Tools and Components
  • Урок 184. 00:04:06
    Setting up the Database Connection at Mapping Designer and Workflow Manager
  • Урок 185. 00:09:43
    Let's start with the Mapping Designer
  • Урок 186. 00:03:03
    Mapping Designer - Finding Object Dependencies
  • Урок 187. 00:12:04
    The Complete Cycle - Lets build the first Mapping, Session and the Workflow
  • Урок 188. 00:19:57
    Transformations Overview
  • Урок 189. 00:00:49
    Different Categories of Transformations
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    Active Transformations
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    Passive Transformations
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    Connected Transformations and Unconnected Transformations
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    Multi Group Transformations
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    Restricted Process Transformations
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    Data Flow Rules
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    Brief introduction to Transformations and it's functions
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    Aggregator Trasformation
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    Expression Transformation
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    Filter Transformation
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    Joiner Transformation
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    Lookup Transformation
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    Normalizer Transformation
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    Rank Transformation
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    Router Transformation
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    Sequence Generator Transformation
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    Stored Procedure Transformation
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    Sorter Transformation
  • Урок 208. 00:02:05
    Source Qualifier Transformation
  • Урок 209. 00:02:03
    Update Strategy Transformation
  • Урок 210. 00:01:13
    XML Source Qualifier Transformation
  • Урок 211. 00:01:25
    XML Parser Transformation
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    XML Generator Transformation
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    Union Transformation
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    HTTP Transformation
  • Урок 215. 00:01:20
    Transaction Control Transformation
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    Identity Resolution Transformation
  • Урок 217. 00:00:43
    Custom Transformation
  • Урок 218. 00:00:50
    Data Masking Transformation
  • Урок 219. 00:00:54
    Additional Information about Informatica Power Center Transformations
  • Урок 220. 00:05:07
    Power Center's Native Data Types and Data Type Conversion
  • Урок 221. 00:05:14
    Ports in Informatica
  • Урок 222. 00:03:21
    Different Types of Functions
  • Урок 223. 00:04:30
    Best ways to get around functions
  • Урок 224. 00:08:00
    Components of Workflow Manager
  • Урок 225. 00:11:57
    Workflow Monitor
  • Урок 226. 00:17:30
    Monitor Tool's functionality & Available Options
  • Урок 227. 00:06:57
    Session Log
  • Урок 228. 00:07:26
    Repository Manager Activities
  • Урок 229. 00:17:11
    Mapplet
  • Урок 230. 00:17:30
    Usage of Debugger
  • Урок 231. 00:01:29
    Requirements for Flat File Source to Flat File and Relational Target
  • Урок 232. 00:04:22
    Required Target Attributes based on the requirement
  • Урок 233. 00:01:26
    Target Table creation based on the requirement
  • Урок 234. 00:02:26
    Source Flat File Creation with the test data
  • Урок 235. 00:03:23
    Source File directory for the source to be placed
  • Урок 236. 00:21:40
    Let's create the mapping with the requirements at hand
  • Урок 237. 00:04:36
    Workflow Creation for the mapping created with the requirements
  • Урок 238. 00:06:02
    Different aspects/areas which needs to be verified during a workflow run
  • Урок 239. 00:07:07
    What is S2T document and what should this document contain?
  • Урок 240. 00:05:28
    Source to Target Mapping - Sample 1
  • Урок 241. 00:03:30
    Source to Target Mapping - Sample 2
  • Урок 242. 00:09:07
    Source to Target Mapping - For the requirements we are using
  • Урок 243. 00:12:31
    Technical Test Cases
  • Урок 244. 00:03:56
    Verifying the workflow run and the source to target records
  • Урок 245. 00:11:59
    Test Cases for Business and Data Validations
  • Урок 246. 00:01:48
    Restarting the Workflow for further testing
  • Урок 247. 00:06:19
    Duplicate Records Check and Record Count Verification
  • Урок 248. 00:12:43
    Data Validation Checks - Using SQL queries (Create, Delete, Drop, Select, Minus)
  • Урок 249. 00:05:51
    Test Case for verifying the Unique Sequence numbers
  • Урок 250. 00:03:24
    Fix and Retest of the Active Flag scenario
  • Урок 251. 00:04:47
    Enterprise Architecture or Centralized Architecture
  • Урок 252. 00:03:06
    Federated Architecture
  • Урок 253. 00:12:50
    How do you validate file to table with 1 million records?
  • Урок 254. 00:01:38
    Direct links to other courses
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