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What Is Data Governance and Why It Matters?

Astera

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

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How to Build a Data Governance Strategy for Your Organization

Astera

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. However, creating a solid strategy requires careful planning and execution, involving several key steps and responsibilities.

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5 Considerations for Choosing the Right Data Center

Smart Data Collective

Your data center should be available to provide your company with quick and efficient support. A Service Level Agreement is typically used to govern this. The ideal data service provider should offer in-house remote support with engineers available at all hours of the day. Support and Uptime.

Big Data 282
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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

The data contained can be both structured and unstructured and available in a variety of formats such as files, database applications, SaaS applications, etc. Processing such kinds of data require advanced technologies from ELT processing to real-time streaming. Data quality and governance.

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How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

The capacity of a company to compete will increasingly be determined by its ability to harness data, apply analytics, and integrate new technology. In addition to internal development, there will be an explosion of external data expansion (from government sources, external providers, etc.). Data pipeline maintenance.

Big Data 275
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Data Professional Introspective: Data Provider Management – Part 2

The Data Administration Newsletter

Governance for Acquired Data / Selecting Sources Our next column in the series explores challenges with governing acquired data, and then we’ll introduce a framework for managing acquired data— the data acquisition lifecycle.

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Factors and Considerations Involved in Choosing a Data Management Solution!

ElegantJ BI

Suitable For: Use by business units, departments or specific roles within the organization that have a need to analyze and report and require high quality data and good performance. Advantages: Can provide secured access to data required by certain team members and business units.