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Why You Need End-to-End Data Lineage

erwin

In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time. This information is critical to regulatory compliance, change management and data governance not to mention delivering an optimal customer experience.

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Five benefits of a data catalog

IBM Big Data Hub

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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Synthetic data generation: Building trust by ensuring privacy and quality

IBM Big Data Hub

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Privacy 80
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The Impacts of Data Loss on Your Organization

Security Affairs

Understanding the different types of data is crucial for organizations as it helps them devise appropriate data protection and management strategies. Data can be classified into; Structured Data: Structured data refers to information that is organized in a predefined format.

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What Is a Vulnerability Assessment? Types, Steps & Benefits

eSecurity Planet

Database vulnerability assessment: This makes sure that the sensitive data stored in a database is protected by examining the database configuration, data structures, access controls, and other elements that affect the database’s performance and security. Achieve compliance with data privacy laws and other regulations.

Cloud 98
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What is metadata management and why is it important?

Collibra

.” 2020 Trends in the Data Management, Dataversity. Organizations need metadata management in their data management practice because there is: . Increasing need for data governance, regulatory and compliance requirements and data enablement. Data engineers work with technical metadata and data type standards.

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Information Governance Challenges and How to Address Them

Gimmal

Craig Carpenter and Dean Gonsowski , Gimmal’s CEO and CRO respectively, spoke with Ari about information discovery, migration, governance, and compliance, and how Gimmal helps organization address their biggest information governance challenges. It started as a GRC — governance risk and compliance — consulting firm.