Tags: Data Lake

A Data Catalog for a Modern Data Architecture

A Data Catalog for a Modern Data Architecture

Wayne Eckerson points out in a recent report that, "Business intelligence (Bl) is fueled by two opposing forces: top-down BI, in which the corporate IT group imposes standards on the delivery of data and reports to ensure a single version of truth, and bottom-up BI, in which business unit analysts create their own reports with custom data sets." Or more simply, it's the data warehouse folks versus the fans of Hadoop and the

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How the CDO Can Streamline the Data Supply Chain

The Chief Data Officer has never been a more necessary role in the organization than it is today. Organizations capture and store more data than ever before, and it’s growing exponentially every year.

Not only is business data growing, but we are seeing new types of data continually entering the mix. Data is structured, unstructured and semi-structured. It’s stored in big data lakes, in business applications, in file shares, and other places across the organization. There’s so much data that even the CDO isn’t completely aware of what’s out there.

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Accelerate ROI on Hadoop by Making All Data Accessible

Despite Gartner’s observation that 41% of organizations are unsure if their Big Data ROI will be positive or negative, they remain keenly interested in investing in Big Data technology so as to take advantage of data-driven use cases in an effort to improve predictions and forecasts, exploit IoT opportunities, identify new products and services, and improve operational efficiency.

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Data Democratization Depends on the Middle Layer of the Data Stack

Every organization recognizes the value of agility — the ability to work with our data iteratively and flexibly, pulling data from any source as needed for insight. To achieve agility, we work and rework the data stack, adjusting and rebuilding and tweaking everything from the data lake to the visualization tools. Too often, though, we fail to achieve agility in terms of the flow of data in the organization.

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UNIFY: THE FINAL STEP TO DATA DISCOVERY

As we’ve pointed out in two previous white papers, data discovery is a three-part process. Profile and identify—the first two steps—reveal where data resides and what it contains. The third step—unify—is the final step to full data self-service. It provides business analysts and data scientists with the connections and relationships between data elements that unleash the power of data.

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YOUR DATA IS IN HADOOP, SO NOW HOW DO YOU GET THE VALUE OUT?

Research also shows that 55% of big data projects fail. CIO’s need a bullet proof strategy to justify their big data investments.
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STRATA + HADOOP WORLD JUST AROUND THE CORNER

Stop by Our Booth and Learn Our Insights on Big Content

Strata + Hadoop world is right around the corner and we couldn’t be more excited!  Make sure you register for our new  booth demo which showcases our newest features and functionality. To celebrate our new enhancements we will be giving away 1 Jawbone Jambox speaker to anyone who signs up for a demo before the big day so  reserve your spot!  At the Attivio booth we are giving away a ton of other great prizes that you don’t want to miss every hour on the hour.

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