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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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Enabling Data Mesh Principles for Organizational Agility

Snowflake

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Federated computational governance: Whether manual or automated, global data governance and security measures ensure protection and compliance throughout domains.

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The Good and the Bad of Databricks Lakehouse Platform

AltexSoft

Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing. Besides that, it’s fully compatible with various data ingestion and ETL tools. Databricks focuses on data engineering and data science.

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17 Super Valuable Automated Data Lineage Use Cases With Examples

Monte Carlo

Data System Modernization And Team Reorganization The only constant in data engineering is change. It’s likely your data architecture will evolve significantly over the course of your career. The good news is data lineage can help with change management and make this a more seamless process next time around.