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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