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2020 Data Impact Award Winner Spotlight: Merck KGaA

Cloudera

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. Toolsets and strategies have had to shift to ensure controlled access to data. At the same time, the need to have a strong layer of security and governance is being highlighted.

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Solutions Architect Job Roles in 2024 [Career Options]

Knowledge Hut

Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms.

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Data Governance: Concept, Models, Framework, Tools, and Implementation Best Practices

AltexSoft

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. Data lake on AWS. Enterprise-grade security.

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What are the Features of Big Data Analytics

Knowledge Hut

Data management The process of obtaining, storing, and using data in a cost-effective, effective, and secure way is known as data management. As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever.

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The Precisely Approach to Enterprise Data Strategy

Precisely

Virtually every enterprise on the planet invests heavily in data. Integration, data quality, data governance, location intelligence, and enrichment are driving trust and delivering value. How can organizations maximize their ROI on their investments in data integrity?

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Data security and privacy.