£2,600

Total price for this course

4 days of training

Instructor-led

Available dates


Tue22Oct 19 TO Fri25Oct 19

Where

Milton Keynes/London

Price

£2,600
PCV10:DL1 25/10/2019 Learn more
Tue03Dec 19 TO Fri06Dec 19

Where

Milton Keynes/London

Price

£2,600
PCV10:DL1 06/12/2019 Learn more

Course Overview

Gain the skills and knowledge necessary to implement and automate a data quality assurance process with the Informatica Data Quality platform. In addition, learn how to cleanse, standardize, and enhance data, students will learn to test and troubleshoot their Data Quality solutions.

Agenda

Module 1: Course Introduction

  • Course topics
  • Modules and content

Module 2: Data Quality Process Overview

  • Data Quality Management Process Cycle
  • Dimensions of Data Quality
  • Data Quality Processes
  • Developer and Analyst Roles and Tools
  • Data Quality Architecture

Module 3: Data Quality Projects and Solutions

  • Customer Data Quality Use Cases
  • Projects that benefit from cleansed and standardized data
  • Data Quality and typical DI/DQ projects
  • Reporting, Gating and Cleansing projects
  • Solution Architecture for Projects with Data Quality

Module 4: Project Collaboration and Reference Table Management

  • Developer Interface
  • Understanding Analyst projects, Data Objects, Profiles, Rules, Scorecards, Comments and Tags
  • Reference Tables and the Data Quality Process
  • Creating Reference Tables
  • Lab: Review a project created by an Analyst
  • Lab: Build Reference Tables

Module 5: Working in the Developer Tool

  • Tasks in the Developer Tool
  • Working with Physical and Logical Data Objects
  • Connecting to a table
  • Importing and flat file
  • Creating logical data objects
  • Developer Transformations
  • Mappings and mapplets
  • Content sets and their uses
  • Developer Tips and Tricks
  • Lab: Create a project and assign permissions
  • Lab: Create a connection to an Oracle table and import a flat file
  • Lab: Build a Logical Data Object

Module 6: Profiling, Mapplets and Rules

  • Column Profiling
  • Mapplets and Scorecards
  • Profiling techniques to debug and improve development
  • Updating Scorecards with Rules
  • Lab: Create a Rule to measure the Accuracy of data in a field.
  • Lab: Using Informatica Analyst, apply the rule to a Scorecard and review the results.

Module 7: Standardizing, Cleansing and Enhancing Data

  • Standardizing, cleansing and enhancing data.
  • Mappings that cleanse, standardize and enhance data
  • Developing standardization mapplets
  • Configuring standardization transformations
  • Lab: Build a Standardization Mapping and Mapplets using Standardization Transformations.

Module 8: Parsing Data

  • The Parsing Process
  • Parsing techniques
  • Key parsing transformations
  • Lab: Perform Parsing using a variety of Parsing Transformations
  • Lab: Complete a Standardization Mapping

Module 9: Matching Data

  • Match Data definition
  • The DQ matching process
  • The different stages of Matching
  • Grouping and its effect on matching
  • Grouping methods
  • Grouping results and refining a grouping strategy
  • Match algorithms
  • Lab: Build and fine tune a grouping and matching mapping

Module 10: Manual Exception and Consolidation Management

  • Exception and Duplicate record management
  • Exception Management Process.
  • Populating tables with exception and duplicate record tasks
  • Lab: Build a Mapping that can be used to identify Exception data
  • Lab: Build a Mapping that can be used to identify Duplicate data

Module 11: Building, Managing and Deploying Workflows

  • Workflows and Workflow Tasks
  • Human Tasks and Steps
  • Identifying exception and duplicate records
  • Deploying and executing workflows
  • Verifying Tasks in Informatica Analyst.
  • Lab: Build a Workflow to populate the Analyst Inbox with Exception Tasks
  • Lab: Build a Workflow to populate the Analyst Inbox with Duplicate Record Tasks

Module 12: Deploying: Executing Mappings outside of the Developer tool

  • Deployment options.
  • Mappings as applications
  • Scheduling mappings, profiles and Scorecards
  • Lab: Schedule Mappings to run using Informatica Scheduler.

Module 13: Importing and Exporting Project Objects

  • Export/import project use cases
  • Basic and Advanced Import options
  • Exporting a project
  • Lab: Import a Project using the Basic method.
  • Lab: Import a Project using the Advanced Method.
  • Lab: Export a Project.

Module 14: Troubleshooting

  • Common Developer errors
  • Common Mapping and Transformation configuration issues
  • Common Workflow configuration errors
  • Tips for working with the Developer tool
  • Lab: Optional. Troubleshoot Mapping configuration issues.

Ideal for

  • Developers

     

Learning Objectives

  • Describe the Data Quality Management Process
  • Illustrate the Data Quality Architecture
  • Differentiate between the Analyst and Developer Roles and Tools.
  • Navigate the Developer Tool
  • Collaborate on projects
  • Perform Column, Rule, Multi object, Comparative and Mid-Stream Profiling
  • Manage Reference Tables
  • Develop standardization, cleansing and parsing Mappings and Mapplets
  • Identify duplicate records using Classic Data Matching
  • Create and execute Workflows to populate user inboxes with Exception and Duplicate record tasks
  • Describe the deployment options available when executing Mappings outside of Informatica Developer
  • Troubleshoot issues that may appear during development


FAQs

What do I need to bring with me to my public class?

All required learning materials and equipment are provided in the classroom.

 

 

 

 

When do public training course fees have to be paid?

For public training classes payment must be received no later than three business days prior to the first day of class in order to remain in the class and confirm your seat. Failure to provide payment by this date may result in removal from the class, and/or late cancellation fees applied. You can submit payment in the form of a Purchase Order or credit card.

 

 

 

 

On-site (private) Course Pricing:

To find out more about On-site training e-mail us at enablement@agilesolutions.co.uk or call one of our offices.

 

 

 

 

What is the cancellation policy?

Requests for cancellations or date transfers need to be received at least ten (10) business days prior to the event start date in order to receive a full refund. If a cancellation or reschedule request is received less than ten (10) business days before the start date, the penalty of 100% of the cost of the course will be applied, resulting in no amount of the fee being refunded. Refunds will not be allowed for “no-shows” in our public training or IVA courses. This cancellation policy is strictly enforced.

 

 

 

 

What happens if Agile Solutions needs to cancel or reschedule a course?

Agile Solutions reserves the right to cancel events for any reason at any time. Cancellation liability for Agile Solutions, if Agile Solutions cancels the course, is limited to the return of course payment ONLY. Agile Solutions will not reimburse registrants for any other costs including but not limited to any travel cancellation fees or penalties, including airfare and hotel costs. PLEASE NOTE: If your registration status is either “Approved”, or “Pending Payment” you have not been confirmed for the class and it is recommended that you do not make any travel arrangements until you have received a confirmation e-mail letting you know the class and registration is confirmed.

 

 

 

 

How will I know if my course has been rescheduled?

Agile Solutions reserves the right to reschedule or cancel a course due to low enrollment or if necessitated by other circumstances. Agile Solutions will contact you via e-mail or phone to inform you of the change of schedule. Once you have been notified you may reschedule or receive a full credit. Agile Solutions shall not be liable for any other costs including but not limited to any non-refundable travel arrangements if a course is rescheduled or cancelled.