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Data Quality Mangement Using Informatica Data Quality

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Course type: Online Instructor led Course

Platform: Skype meeting/Webex/Goto Meeting.Google Drive for sharing material. Google cloud for accessing the server.

Course ID: 34369

Course type: Online Instructor led Course

Platform: Skype meeting/Webex/Goto Meeting.Google Drive for sharing material. Google cloud for accessing the server.

Students Interested 0 (Seats Left 0)

₹ 15,000

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Anirban Datta picture
Anirban Datta

Data Management Architect

4 Years of Experience

About Anirban Datta

• 12+ years of Business Intelligence and Data Integration experience in different sectors and environments.
• Experience with analysis, design, development, customization and implementation of Data Integration Solutions covering Data Quality Management, Master Data Management, Metadata Management, Enterprise Data Lineage, Data Virtualization and OLTP systems.
• Part of Informatica CoE, to respond to RFP, develop solution architecture, design ETL Architecture & Framework, prepare estimations of Informatica based Data Integration solutions.
• Strong Database skill using Oracle SQL, PLSQL and Oracle Tuning
• Experience in Data Integration using Informatica Suite of products like PowerCenter (v 8.6.1/9.X/10.x) , MDM Hub 9.0/9.1.0/10.1,Informatica Data Director, Informatica Data Explorer, Informatica Data Quality (v 9.X,10.x) and Informatica Data Services including Administration and Tuning
• Deep knowledge of data quality and data integration processes, approaches, measurement techniques, and business cases including Profiling, cleansing, standardization and Match/Consolidation.
• Experience in building ETL solution using Informatica Cloud to integrate data across cloud-based applications and on-premise systems and databases.
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About the Course

I am currently providing in depth training on Informatica Data Quality V10.X.This single course contains all the topics and techniques those are needed to be an individual contributor to any data quality project using Informatica.

Salient features for this Data Quality Course include  
In depth coverage of
1) Basic and advanced concepts along with their usages.
2) Data Profiling, Data Discovery, Data Quality Management
3) Business Glossary and Informatica Analyst tool
4) Various advanced concepts like parsing, standardization, classification,match, key generator etc
5) Exception Handling, troubleshooting, Data Enhancement , Deployment and Automation of tasks
6) Basic Administration activities
7) Practical Assignment and real life project at the end of the course.

 Below topics are going to be covered
a) Data Discovery and Profiling using Informatica Analyst and Informatica Developer
b) Data Quality core and advanced concepts and techniques
c) Data Quality Administration
d) Business Glossary
e) Performance Tuning Tips and Techniques

All these are covered under around 10 different courses in Informatica University and here you can get it in a single consolidated course.            





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