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Top 7 Data Governance Blog Posts of 2018

erwin

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. www.erwin.com/blog/defining-data-governance/.

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NHL turns to venue metrics data to drive sustainability

CIO Business Intelligence

To reduce its carbon footprint and mitigate climate change, the National Hockey League (NHL) has turned to data and analytics to gauge the sustainability performance of the arenas where its teams play. The only way for you to speak in the language of business is to have the data that help you derive those insights.”

Metrics 144
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Cloudera on Cloudera: Our Journey to Becoming more Data-driven

Cloudera

I’ve spent the last four years here at Cloudera talking with our customers about how to run their businesses better using their data and Cloudera’s products and services. Now I get to put my money where my mouth is – and turn my focus internally on how we at Cloudera can become more data-driven. The first is visibility.

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Data Makes Possible Many Things: Insights Discovery, Innovation, and Better Decisions

Rocket-Powered Data Science

In the early days of the big data era (at the peak of the big data hype), we would often hear about the 3 V’s of big data (Volume, Variety, and Velocity). As Dez Blanchfield once said , “You don’t need a data scientist to tell you big data is valuable. What does data make possible?

Big Data 105
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Fleet Management and Big Data: Points to Consider

Smart Data Collective

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 143
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5 Powerful Networking Technologies That Are Disrupted By AI

Smart Data Collective

Networking technologies have been in existence for many decades with a singular purpose – the improvement of data transmission and circulation through the use of information systems. IoT is the technology that enhances communication by connecting network devices and collecting data. Artificial Intelligence. Edge Computing.

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Serving the Public Through Data

Cloudera

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . Providing more value to citizens through data. The pandemic has highlighted the increasing importance of getting the most out of the data a government has.