Remove 2019 Remove Business Intelligence Remove Data Governance Remove Metadata
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How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

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How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

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The Proven Way for Healthcare Providers to Maintain HIPAA Compliance

Octopai

Healthcare data contains all of your personal information in one, easy-to-find file, which is why it’s the most targeted industry for cyberattacks. The cost of data breaches in 2019 was 87% higher than in 2018 , with the number rising each year. million Americans experiencing compromised personal data in 2019, compliance is key.

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Alation Ranked Top Data Catalog Third Year in a Row

Alation

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Howard Dresner coined the term “Business Intelligence” in 1989.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Program Synthesis 101 ” – Alexander Vidiborskiy (2019-01-20). Model-Driven Data Queries.

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Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

In today’s day and age, data can be found just about anywhere. The volume and types of data are growing by the day, making data processing and generation of data insights more and more complicated. Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction.