Tag: Data Management

Databricks Data + AI Summit 2025: Five takeaways for data professionals, developers

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off…

Databricks One mirrors Microsoft Copilot strategy to transform enterprise data access

Databricks One offers low-code and no-code capabilities, aiming to democratize analytics for business users while…

Databricks targets AI bottlenecks with Lakeflow Designer

The no-code ETL tool works by combining a generative AI assistant for pipeline creation and…

Snowflake takes aim at legacy data workloads with SnowConvert AI migration tools

With the free agent-based suite of migration tools, Snowflake says enterprises can move workloads without…

MariaDB’s acquisition of Codership: Why enterprises should care

The acquisition could be another step in MariaDB PLC’s evolution towards becoming a trustworthy, recurring-revenue…

Unlocking data’s true potential: The open lakehouse as AI’s foundation

Artificial intelligence has increased the urgency for unified data. Here’s how to achieve it. Credit:…

Data mesh vs. data fabric vs. data virtualization: There’s a difference

Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn…

Why hasn’t cheaper hardware lowered cloud prices?

Enterprises should look at cost-effective alternatives like private clouds, colocation, managed service providers, or hybrid…

What is data fabric? How it offers a unified view of your data

Data fabric is an architecture that connects siloed heterogenous data across an organization, enabling unified…

Google Cloud Next ’25: What to expect

Preparing for Google Cloud Next? Get a preview of the major themes and expected announcements,…