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Data Fabric Use Cases

Data  is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” A data fabric offers a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and a […]

DAS Slides: Data Quality Best Practices

DAS Slides: Data Quality Best Practices from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> About the Webinar Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues […]

DAS Webinar: Data Quality Best Practices

To view just the slides from this presentation, click HERE>> About the Webinar Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. […]

Why Build a Hybrid Data Lake for Analytics and AI

Click to learn more about author Haoyuan Li. The present global crisis has bolstered cries for cost-cutting across organizations. Data lakes spanning from on-premises environments to a public cloud platform have continued to evolve, frequently striving to keep the infrastructure and operational costs low while providing business agility. At many large organizations, traditional data lakes […]

Unify Data Governance with Data Architecture

Think of an organization trying to create a single understanding of the information of the organization and the instances of that data around its estate. Consider different groups of people contributing to and using this model from different perspectives and varying reasons. And view this in the context of Data Governance, Data Architecture or Business […]

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