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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. Projections show that the data governance market will expand from $1.81

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The Just-In-Time Revolution for Data-Driven Enterprises

The Modern Data Company

For today’s Chief Data Officers (CDOs) and data teams, the struggle is real. We’re drowning in data yet thirsting for actionable insights. We need a new approach, a paradigm shift that delivers data with the agility and efficiency of a speedboat – enter Data Products.

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A Primer On Enterprise Data Curation with Todd Walter - Episode 49

Data Engineering Podcast

Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science. Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it?

Data Lake 100
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Scaling Data Trust and Collaboration with Monte Carlo and Atlan’s New Integration

Monte Carlo

That’s why we’re excited to announce that uniting diverse data team personas to collectively ensure data quality just got easier, thanks to a new integration between Monte Carlo’s data observability platform and Atlan’s active metadata platform.

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17 Super Valuable Automated Data Lineage Use Cases With Examples

Monte Carlo

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. Data System Modernization And Team Reorganization The only constant in data engineering is change.

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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.

Scala 64