Expanded Library

The Promise of Data Mastering at Scale

by Big Data LDN

Big Data LDN 2019 | The Promise of Data Mastering at Scale | Michael Stonebraker

What you'll learn

Master data management (MDM) software turned 15 years old this year. Originally launched in 2004 by SAP, master data management systems aimed to help resolve the data unification problem by creating a central source of standardized references to customers, products, employees, suppliers, physical assets and other data across their many IT systems. MDM is valuable, but it's also slow, labor intensive, and costly. As the scale of MDM projects increases to millions of entities and hundreds or thousands of data sources, the traditional methods often fail. Mike Stonebraker will share his view on how MDM technology and MDM organizations must change to fulfill the promise of MDM at scale. He'll discuss how MDM at scale requires machine learning (ML) models, how MDM ML requires humans-in-the-loop, how MDM at scale often requires real-time model update, and how future data mastering innovations will come to market as ML models. You'll learn how MDM technology and MDM organizations must change to fulfill the promise of MDM at enterprise scale.

Table of contents

The Promise of Data Mastering at Scale
28mins

About the author

Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.

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