Agenda

We are excited to invite you on Thursday, May 4, 2023 at 8:30 AM PT to the first virtual event dedicated to data quality.

MDQS 2023

Tracks At A Glance

4

May 2023

8.30 AM - 9.00 AM

Keynote: Rethink DQ in the world of data mesh

Decentralization approach of data mesh, especially data products, is rapidly getting adopted to deliver business value faster. This track uncovers how to ‘shift left’ data quality and its impact on delivering data outcomes through marketplaces.

Sanjeev Mohan

SanjMo

Raj Joseph

DQLabs

Zhamak Dehghani

Nextdata

#1

Session

9.00 AM - 9.30 AM

Unified Approach /metadata

A cohesive metadata plane that connects catalog, lineage, data prep, data quality, semantic layer, observability, security, and privacy unleashes the full potential of your data governance strategy. This track covers insights, ideas, and best practices of modern approach to metadata management.

Olga Maydanchik

Voya Financial

Raj Joseph

DQLabs

Raj Joseph

Raj Joseph

DQLabs

#2

Session

9.30 AM - 10.00 AM

Why today’s DQ is not your father’s DQ?

Traditional data quality approaches are too rigid, time-consuming, manual, and ineffective to meet the needs of past-paced data-driven organizations. Learn new developments in the data quality space that are finally helping deliver trust.

Chad Sanderson

Data Quality Camp

Sanjeev Mohan

SanjMo

#3

Session

10.00 AM - 10.30 AM

Data Quality Contracts

Are data contracts the missing link to reduce the impedance mismatch between data producers and data consumers? This track explores the what, why and hows of data contacts, and the importance of data quality attributes in meeting the data product service level agreements.

Ananth Packkildurai

Ananth Packkildurai

Data Engineering Weekly

Hari Prasad Bairaju

Hari Prasad Bairaju

DQLabs

Speaker (TBD)

Company Name

#4

Session

10.30 AM - 11.00 AM

Leveraging semantic layer for Data Quality, Privacy and Governance

Data classification involves assigning standard semantic labels to fields and datasets. This is key for a number of use cases including Data Quality, Data Discoverability, Data Governance, and Data Privacy. Unfortunately, the scope of typical data estates makes manual data classification unfeasible. This talk will cover different automated data classification approaches successfully used by specialized start-ups and big tech companies like LinkedIn and Meta.

Alex Gorelik

LinkedIn 

Speaker (TBD)

Company Name

Speaker (TBD)

Company Name

#4

Panel

11.00 AM - 11.30 AM

Panel / Practitioner Fireside chat

Learn from the experiences of practitioners how they are transforming data quality and aligning to business strategic imperatives.

Mark Mullins

United Community Bank

Raj Joseph

DQLabs

Sanjeev Mohan

SanjMo

#4

Closing

11.30 AM - 11.45 AM

Closing Activity

What actions must one take to make data quality effective? This session brings the curtains down with actionable guidance on how data practitioners should prepare for the next generation of data quality.

Sanjeev Mohan

SanjMo

Raj Joseph

DQLabs

Speaker (TBD)

Company Name

Innovate Faster with AI-Ready Data. We’ll Get You There!