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Doing Cloud Migration and Data Governance Right the First Time

erwin

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Why You Need Cloud Data Governance.

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Data governance use cases – 3 ways to implement

Collibra

However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . In this post, we’ll highlight the top three most valuable data governance use cases. The data structure and requirements are not defined until the data is needed.

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Executive Order About Cybersecurity Urging Zero Trust Adoption

Thales Cloud Protection & Licensing

During the 2021 Thales Crypto Summit , which brings together a group of experts to speak about cryptographic and key management to keep organizations secure, President Biden’s Executive Order (EO) was a key point of discussion. develop a Federal cloud-security strategy and provide guidance to agencies accordingly” [Section 3(c)(i)].

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Government Open Data Success Via Information Sharing, Enterprise Architecture and Data Assets

Interactive Information Management

But that's what's happening all over, isn't it, driven by consumer demand on their iPhones - mashing and manipulating information that's managed to leak through the risk-adverse, highly-regulated mantle of the government's secure data cocoon, and instantly sharing it for further rendering, visualization or actual, productive use.

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The Impacts of Data Loss on Your Organization

Security Affairs

Understanding the different types of data is crucial for organizations as it helps them devise appropriate data protection and management strategies. Data can be classified into; Structured Data: Structured data refers to information that is organized in a predefined format.

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What is metadata management and why is it important?

Collibra

.” 2020 Trends in the Data Management, Dataversity. Organizations need metadata management in their data management practice because there is: . Increasing need for data governance, regulatory and compliance requirements and data enablement. Data engineers work with technical metadata and data type standards.

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Data architecture strategy for data quality

IBM Big Data Hub

How the right data architecture improves data quality. The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.