A Detailed discussion on Enterprise data management (EDM) and Master data management (MDM), ML-driven Data Quality, & Data Masking

Jan 29, 2021

12:00 PM - 12:30 PM EST

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Abstract

Centralized data lake using Hadoop Impala was built over 30+ enterprise applications and 5000+ databases. We will discuss the challenges and unique solutions.

Key Takeaways

Standard Pipeline/ Templated approach for Enterprise data models.
Pipelines for SAP, Oracle, Microsoft, and other enterprise application templates
Data Virtualization / Centralization
Data Quality and Data Harmonization on the Big data
Attribute Views (Common data models), Calculation Views, and Analytical Views
Data Science projects, Machine Learning / Deep Learning techniques used

Presented by

Samir Mehta

Chief Data Officer
Digital Transformations

Samir has over 10 years’ experience serving as a Chief Data Executive in financial services, retail, and manufacturing industries directing global data transformation activities.

Sundu Rathinam

Founder & Chief Technical Officer
ChainSys

With over 25+ years in the field, Sundu is an unsurpassed technical and functional expert, and has helped clients worldwide with solving some of their toughest challenges

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