Remove 2008 Remove Big Data Remove Data Governance Remove Risk
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The Difference Between Data Architecture and Enterprise Architecture

erwin

Those organizations that can find ways to extract data and use it to their advantage will be successful. However, we really need to understand what data we have, what it means, and where it is located. Without this understanding, data can proliferate and become more of a risk to the business than a benefit.

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Data Science, Past & Future

Domino Data Lab

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

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How Novo Nordisk built distributed data governance and control at scale

AWS Big Data

The first post of this series describes the overall architecture and how Novo Nordisk built a decentralized data mesh architecture, including Amazon Athena as the data query engine. The third post will show how end-users can consume data from their tool of choice, without compromising data governance.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

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What Is Data Quality and Why Is It Important?

Alation

Artificial Intelligence (AI) and Machine Learning (ML) As more companies implement Artificial Intelligence and Machine Learning applications to their business intelligence strategies, data users may find it increasingly difficult to keep up with new surges of Big Data. How to Determine Data’s Quality.

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EMEA Summit Partner Awards for AWS, Accenture, IBM, Talend a Qlik Company, Tech Data, and Dell Technologies

Cloudera

EMEA IHV Partner of the Year: Dell Technologies Dell Technologies has been a crucial partner since Cloudera’s founding in 2008. Their Data Health and Lineage capability adds business context to data, enhancing data governance and, in turn helping enterprises accurately assess data risks.