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Informatica PowerCenter Training

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Informatica PowerCenter Course Content

An Overview of Informatica PowerCenter

  • Overview of PowerCenter covering areas such as the Architecture, Terminology, Tools GUI, Mappings, Transformations, Sessions, Workflows and Workflow Monitor and installation of client.

ETL Fundamentals

  • Create flat file and relational Sources using the Source Analyzer
  • Create flat file and relational Targets using the Target Developer
  • Mappings using the Mapping Designer
  • Workflows using the Workflow Designer
  • Monitor the workflow using the Workflow Monitor
  • Preview Target Data using the PowerCenter Designer

Trouble Shooting

  • Understand PowerCenter Log files
  • Use PC log files to:
  • View and look up error messages
  • Correct mapping and workflow errors

PowerCenter Transformations, Tasks and Reusability

  • Define list of PC Designer Transformations and Workflow Tasks
  • Clarify Active vs. Passive Transformations
  • Use the Expression Transformation and Editor in a mapping which applies a file list to load multiple flat files into a stage table utilizing expression and filter transformations to format and screen erroneous customer data
  • Use Reusable Designer Transformations to apply same formatting logic to Employee records

Features & Techniques

  • Outline use of Arrange All and Arrange All Iconic
  • Show ‘Autolink’ feature
  • Show ‘Select Link Path’ feature
  • Define Propagation of Port Properties

Joins and Link Conditions Define Joins

  • Clarify Heterogeneous vs. Homogeneous Joins
  • Use a Joiner Transformation to join relational and flat file sources
  • Use the Source Qualify to join two relational sources
  • Make use of Link Conditions to execute one session when the first finishes successfully.

Using the Debugger

  • Outline Debugger Interface
  • Show creation of a break point
  • Show ‘Evaluate the Expression’ functionality
  • Re-Execute mapping with different values

Sequence Generators, Lookups and Caching

  • Define the Sequence Generator
  • Define the Lookup Transformation
  • Understand the different types of Lookups
  • Clarify Lookup Caching
  • Use a Flat File Lookup to add data to a relational target.
  • Create a Multiple Row Return Lookup, use Aggregators and Expressions to count the number of orders a Customer has as well as total the sales for that customer. Add those values to a target.
  • Build a Dates Lookup Cache for use in determining start and end dates of target records
  • Utilize Event Wait, Event Timer and Email Tasks to wait for flat files and email users upon successful/failed load.
  • Use a decision task to set criteria by which the workflow will decide which execution branch to follow

Update Strategies, Routers and Overrides

  • Build a mapping that uses Update Strategies and Routers to determine insert/update logic for a target. Overrides will be used for incremental (daily) loading of the target.

Sorter, Aggregator

  • Unconnected Lookups
  • Mapping Parameter/Variables and Mapplets/Worklets
  • Define Sorter Transformation
  • Detail Aggregator Transformation and Aggregate Functions
  • Explain Unconnected Lookups and how they are called.
  • Describe Mapping Parameters/Variables and initialization priority
  • Outline Mapplets and Worklets
  • Use these Transformations to create a mapping which loads records from warehouse Dimension tables to a Fact table.
  • Parameter File Instruction.

Mapping Design Workshop

  • Business requirement details will be provided so that the student can design and build their own mapping necessary to load a Promotions Aggregate table. The workshop will provide Velocity Best Practices documents that can be used to determine the correct logic for the mapping

Workflow Design Workshop

  • Business requirement details will be provided so that the student can design and build their own workflow necessary to load all staging tables in a single workflow. The workshop will provide Velocity Best Practices documents that can be used to determine the correct logic for the workflow.

Parameter Files

  • Ascertain the use of the IsExprVar property in a mapping.
  • Determine the structure of a parameter file.
  • Establish the use of parameter files in mappings and sessions
  • Describe the flexibility of using parameter files to build mapping expression logic.
  • Describe the use of a date/time mapping variable, in a parameter file for incremental loading

Advanced Functions

  • Describe and implement advanced functions
  • Describe User-Defined functions
  • Create a public, User-Defined Function to create a standard name formatting function and implement the UDF in the mapping.
  • Use the AES_Encrypt and Encode functions to encrypt and encode customer data before writing it to flat file.
  • Debug the mapping using an existing session and observe the results

Pivoting Data

  • Describe the use of a Normalizer transformation to normalize data
  • Describe the use of an Aggregator to denormalize data
  • Normalize data into a relational table
  • Denormalize data into a Fact table.

Dynamic Lookups

  • Define Dynamic Lookup
  • Describe the Dynamic Lookup Cache
  • Use a Dynamic Lookup to load data into a dimension table.
  • Use a Dynamic Lookup in tandem with an Update Strategy transformation to keep historic data in a dimension table

Stored Procedure and SQL Transformations theory

  • Call a SQL stored procedure from a PowerCenter mapping
  • Create and configure a SQL transformation in script mode.
  • Create and configure a SQL transformation in query mode.
  • Use a SQL transformation to create tables on an “as needed” basis.
  • Enter a properly formatted query into a SQL transformation.
  • Locate database errors in the result output of a SQL transformation.

Troubleshooting Methodology and Error Handling

  • Design error handling strategies appropriate for the intended purpose of a workflow
  • Identify data errors and load them to an error table.
  • Describe Update Strategies

Transaction Control Transformation

  • Describe the use of the transaction control transformation for data-driven transaction control
  • Control when data is committed to disk or the target database
  • Use a transformation variable to create a flag that determines when to commit data to the RDBMS based upon data values

Performance Tuning Mapping Design

  • Apply best practices in your mappings to optimize performance
  • Locate session properties that can unnecessarily lower performance.
  • Inspect and edit mappings for optimal performance design.
  • Inspect and edit transformations for optimal performance design

Performance Tuning: Pipeline Partitioning theory

  • Apply partition points to efficiently utilize your CPU
  • Partition your data to efficiently utilize your CPU
  • Distribute your partitioned data to preserve functionality while optimizing your CPU
  • Optimize your memory usage according to your partitioning strategy