Remove 2018 Remove Big Data Remove Data Governance Remove Risk
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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

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Data Governance Makes Data Security Less Scary

erwin

percent of its global annual revenue, because 330 million hotel guests were affected by a breach in 2018. The Regulatory Rationale for Integrating Data Management & Data Governance. We don’t want you to be caught off guard when it comes to protecting sensitive data and staying compliant with data regulations.

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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. Data Governance 2.0

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Data privacy examples

IBM Big Data Hub

Deploying privacy protections: The app uses encryption to protect data from cybercriminals and other prying eyes. Even if the data is stolen in a cyberattack , hackers can’t use it. These access controls reduce the chances that the data is used for unauthorized or illegal purposes.

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

Cloudera

Their Data Health and Lineage capability adds business context to data, enhancing data governance and, in turn helping enterprises accurately assess data risks. Middle East, Turkey, and Africa Partner of the Year: Solutions by STC Solutions by STC has been a Cloudera partner since 2018.

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What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

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A Guide to Data Analytics in the Travel Industry

Alation

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?