Webinar: Modernizing Data Quality and MDM: How AI can Automate the Delivery of Governed Data

Sep 02, 2020 by /experts/ in Vagner on the Vanguard

ABSTRACT:

The dirty little secret of data analytics is that the quality of enterprise data is often quite poor. Data analysts still spend an inordinate amount of time harmonizing data from different systems. This webinar presents a framework for modernizing data quality and master data management (MDM). It...

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Modernizing Data Quality and MDM: How AI can Automate the Delivery of Governed Data

The Rise of Data Exchanges: Frictionless Integration of Third-Party Data

Sep 01, 2020 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

Data exchanges are a key component of the data economy. They connect data suppliers and data consumers through a frictionless and seamless experience, eliminating the difficulties associated with finding, evaluating, purchasing, and integrating third-party data. They will fuel a data goldrush as...

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Slides: Maturity Model: Cloud Data Management for Cloud Data Warehouses and Data Lakes

Aug 26, 2020 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

This webinar provides a checklist of items that every enterprise should consider when designing and implementing a cloud data warehouse and/or data lake. To help you plan your cloud data management strategy, we present a maturity model to gauge your capabilities against industry best practices...

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Maturity Model: Cloud Data Management for Cloud Data Warehouses and Data Lakes

Aug 26, 2020 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

This webinar provides a checklist of items that every enterprise should consider when designing and implementing a cloud data warehouse and/or data lake. To help you plan your cloud data management strategy, we present a maturity model to gauge your capabilities against industry best practices...

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 Maturity Model: Cloud Data Management for Cloud Data Warehouses and Data Lakes

Using Data Knowledge to Conquer Data Sprawl

Aug 20, 2020 by Dave Wells in Data Management

ABSTRACT:

Data sprawl is a big data management challenge—data everywhere and we don’t know what we have. ­Informatica’s recent acquisition tackles the problem with machine learning for smart data management.

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