Cloud Data Management

tdwi.org

Cloud data management CDM is simply data management that involves clouds. For example, when focused on data persistence, CDM provides cloud-native data storage and optimized processing for the burgeoning volumes of enterprise data, big data, and data from new sources that users are choosing to manage and use on clouds. When focused on integration, CDM provides data integration infrastructure (with related functions for quality and semantics) to unify multicloud and hybrid on-premises/cloud environments.
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Spotlight

Business data is growing across multiple facets of the modern enterprise, and new types of information generated by new sources are increasingly critical to operations. Backup reliability has decreased in recent years even as Digital Transformation activities accelerate. Read this new Frost & Sullivan executive brief and learn a

OTHER ON-DEMAND WEBINARS

2020 and Beyond: Architecting Your Data Warehouse for the New Decade

Companies continue to experience a dynamic shift in the growth of enterprise data. Fueled by a wave of emerging startups, innovative technologies and greater competition, the opportunity to drive faster decision-making has exploded – but so too have the questions on the best way to architect analytics-ready BI from the modern cloud-ready data warehouse.
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On-Demand Webinar: How Technology Is Changing the Newsroom

This session will be an opportunity for David Clinch, Storyful Founding Partner, to talk about his 30 years of experience in the news industry. David will discuss how the changes in technology continue to impact journalism and will draw on his experience of his time on the International News Desk at CNN where he helped pioneer t
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Using DataOps for Data Pipeline Engineering Quality

tdwi.org

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.
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Lynx: A FAIR-fuelled Reference Data Integration & Look up Service at Roche

Roche, as a leading biopharmaceutical company and member of the Pistoia Alliance, has a diverse and distributed ecosystem of platforms to manage reference data standards used at different parts of the organization. These diverse reference data standards include ontologies and vocabularies to capture specifics of the research environment and also to describe how clinical trial data are collected, tabulated, analyzed, and finally submitted to regulatory authorities. In the context of the EDIS program, Roche has bridged these parts to improve reverse translation from studies into research and also embraced FAIR to emphasize machine-actionability and data-driven processes.
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Spotlight

Business data is growing across multiple facets of the modern enterprise, and new types of information generated by new sources are increasingly critical to operations. Backup reliability has decreased in recent years even as Digital Transformation activities accelerate. Read this new Frost & Sullivan executive brief and learn a

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