How to become ASP.NET Developer dot net video tutorials download kudvenkat videos Subscribe Kudvenkat Blog follow pragimtech on facebook follow pragimtech on twitter follow pragimtech on google plus
Home C# ASP.NET MVC GridView JavaScript Placements Contact Feedback Subscribe Careers Support us
Contact Details Phone:
+91 99456 99393
+91 80958 31888
WhatsApp:
+91 99001 13931
Email:
pragim@pragimtech.com
pragim@gmail.com
Address:
Outer Ring Road
Opposite Innovative Multiplex
3rd Floor
Above Unilet Showroom
Beside Nandas Hyderabadi Biryani
Marathahalli, Bangalore 37

Course Contents Oracle Apps Advanced Pricing
Oracle Apps ASCP Functional
Oracle Apps SCM Functional
DOT NET | MVC
Sharepoint
MSBI
Siebel CRM
Informatica (9.1)
Informatica Data Quality (9.5.1)
Java J2EE
EMC SAN
Testing Tools
Selenium Testing
HADOOP
TIBCO
Tableau
Oracle DBA
Oracle PL/SQL
Oracle OFSAA
Oracle OBIEE
QlikView
IBM MQ Admin
Android
Salesforce
Devops
UI Development with AngularJS and Angular 2/4

Interview Questions Dot Net Video Tutorials
C#
C# Programs
ASP.NET
WCF
SQL Server
MVC
HR
Informatica Data Quality training course content - 9.5.1
Basics:
  • What is Data Quality and why it is important?
  • Data Quality Concepts
  • Difference between PowerCenter and Data Quality
  • Data Quality Architecture diagram
  • Different Data Quality components and their role of use
Administrator Console:
  • Gateway node and worker node
  • Model Repository Service
  • Data Integration Service
  • Analyst Service
  • Content Management Service
Developer Client
Analyst tool:
  • Navigate the Developer Tool with different options and collaborate on projects with Analysts using the Analyst Tool
  • Perform Column, Rule, Join, Multi object and Mid-Stream Profiling in Analyst Tool
  • Manage reference tables in the Analyst Tool and Developer client
  • Design and develop Mapping/Mapplets in Developer client
  • Create standardization, cleansing and Parsing methods
  • Validate Addresses
  • Identify duplicate/similar records
  • Build mappings used to associate and consolidate matched records
List of DQ transformation coverage:
  • Merge
  • Case Converter
  • Standardizer
  • Character Labeller
  • Token Labeller
  • Token Parser
  • Matcher(classic)
  • Association
  • Consolidation
  • Address Validation
  • Keygen tx
Others:
  • Deployment of DQ mappings into Power center and their business use cases
  • Trouble shooting techniques
  • Real time use cases covering different scenarios which will help candidate to succeed in their interview/project development
Disclaimer - Terms of use - Contact Us