Tags: Data Governance

Chief Data Officers and the Challenges of Big Data

In my last post, I wrote about what Chief Data Officers tell us are the most pressing challenges they face at the bottom of the Big Data stack —mainly creating a hybrid data architecture that can accommodate modern and legacy data sources. Once that architecture is in place and we move up the stack, CDOs encounter another set of challenges.

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The Modern Data Architecture in Financial Services

An entire ecosystem of tools and data processing frameworks have grown up around Hadoop. Almost as soon as someone identifies a weakness or limitation—and there have been more than a few—someone else creates a fix. That's one of the reasons the Big Data ecosystem is so complex. And why many large companies hung back before jumping in. They wanted to see if any leaders would emerge from the chaos.

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How a Virtual Data Catalog Improves Data Governance

Data democratization is about giving a larger group of people in the company access to self-service tools to find and work with the data they need for analysis. This self-service capability needs to happen to enable data-driven organization. But there is a fine line between enabling self-service and ensuring data is accessed by the right people and used in the right situations.

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Hadoop Earns Its Enterprise Stripes

Atlas Data Governance Delivers "Last Mile"

At Attivio, we work with some of the world's largest banks and manufacturing companies. As they invest more in Hadoop, they also require more from it. They recognize its value in dealing with extremely large and diverse data sets. But they're also looking for enterprise features, and data governance is often at the top of the list.

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