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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.

Metadata 135
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5 Data Governance Mistakes to Avoid

Alation

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now.

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5 Data Governance Mistakes to Avoid

Alation

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. They often report to data infrastructure and data science leads.

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The change management Informatica needed to overhaul its business model

CIO Business Intelligence

We built that end-to-end data model and process from scratch while we ran the old business. We still operated our core license and maintenance business, but we changed everything, including CRM, revenue recognition, reporting, and customer success to support the new cloud business operating model. What’s the calculation?

Modeling 108
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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 in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

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Please vote before May 11! 2022 DBTA Reader’s Choice Awards

erwin

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis.