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Data architecture strategy for data quality

IBM Big Data Hub

Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads. Efficiently adopt data platforms and new technologies for effective data management. Apply metadata to contextualize existing and new data to make it searchable and discoverable.

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MS Teams Information Governance - A Checklist for Success

AIIM

What is your existing Information Governance strategy? Have you applied the whole of the strategy to each element of your Microsoft 365 environment? Make the most of metadata by utilizing systems that help automate how metadata is applied while retaining unstructured data in place.

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The Impacts of Data Loss on Your Organization

Security Affairs

Types of Data Organizations deal with different types of data in their day-to-day activities. Understanding the different types of data is crucial for organizations as it helps them devise appropriate data protection and management strategies. MetaData: Metadata refers to data about data.

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Do I Need a Data Catalog?

erwin

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Three Types of Metadata in a Data Catalog.

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How to Keep Your Information Safe for Data Privacy Day 2020

Thales Cloud Protection & Licensing

Following cyber hygiene best practices and creating a strong security-centric culture is always a good strategy for organizations to adopt. An organization’s digital security strategy would not be complete without encryption. A Streamlined Data Security Strategy. Encryption. Key Management.

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What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. SQL or NoSQL?

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Don’t wreck your data lake with poor quality data 

Collibra

Business decisions made through the use of inaccurate data can affect your strategic planning and long-term outlook. It can also hurt your workforce if employee wellbeing and the hiring strategies are out of tune due to unreliable data. Because of their flexibility, data lakes are much more cost-effective.