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Know Before You Go – Trust ’23: the Precisely Data Integrity Summit

Precisely

Learn more The countdown is on to Trust ’23: the Precisely Data Integrity Summit! We recently announced the details of our annual virtual event , and we’re thrilled to once again bring together thousands of data professionals worldwide for two days of knowledge, insights, and inspiration for your data integrity journey.

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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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Why Evolutionary Architecture is Important in a Data-Driven World

The Modern Data Company

Data, the lifeblood of its operations, was becoming increasingly complex and unwieldy. With each new product launch and market expansion, the data architecture that once supported its growth now threatened to be its Achilles’ heel. Contact the Modern Data Company and see how DataOS enables evolution without disruption.

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Building Your Data Product Machine: Less Tech, More Strategy

The Modern Data Company

Value Proposition : Aiming for consistency, high production, and responsiveness to feedback mirrors the goals of data product development, emphasizing the importance of meeting and exceeding user expectations.

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The Good and the Bad of Databricks Lakehouse Platform

AltexSoft

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog.

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17 Super Valuable Automated Data Lineage Use Cases With Examples

Monte Carlo

Squatch VP of Data, IT & Security, Nick Johnson. Data integration and modeling In previous eras, data models like Data Vault were used to manually create full visibility into data lineage. Data System Modernization And Team Reorganization The only constant in data engineering is change.