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Cloud Data Security for Today’s Remote Work Environment

Dataversity

The post Cloud Data Security for Today’s Remote Work Environment appeared first on DATAVERSITY. As organizations continue to adopt remote work, more opportunities are created for both companies and employees. However, the shift to remote work also creates additional […].

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3 Steps on the Data Integration Roadmap

Domo

. “A risk management framework utilizes best practices for your specific industry to protect what data you value most,” says Chuck Brooks, President of Brooks Consulting International. “A Also, think about data as a complete life cycle—from acquisition to insightful analysis, says Jack Gold, Principal Analyst and Founder at J.

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Data Governance in Financial Services: How to Ensure Data Integrity for Risk Management and Reporting

Astera

As the financial services sector grapples with an ever-expanding volume of data and increasingly stringent compliance demands, the need for a holistic approach to data governance is undeniable. Regulatory Landscape and Compliance Requirements in Financial Services Data governance and compliance are related but distinct concepts.

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Management of all enterprise data, including master data.

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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

Data quality tools make it easier for you to deal with the challenges of moder data: volume and velocity. Using these tools, you can easily automate your data quality measures and ensure you consistently get reliable insights. Based on user feedback, Ataccama ONE exhibits certain limitations.

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What Is Data Management and Why Is It Important?

Astera

Today, this means they should have the necessary resources and infrastructure to be able to deal with big data—large volumes of structured and unstructured data—efficiently. This also includes maintaining data quality while ensuring easy access to the needed data.

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Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 

Astera

One of the key benefits of a data lake is that it can also store unstructured data, such as social media posts, emails, and documents. This makes it a valuable resource for organizations that need to analyze a wide range of data types.