News
Databricks can now query Workday HR and finance data in place, without copying it
The beta connector reads Workday's shared Iceberg tables directly and keeps Workday as the system of record. Access is read-only.
Data and analytics
Data platforms, analytics, governance and the pipelines that feed AI.
News
Cloudflare's Basin data platform is generally available, with no egress fees
Pipelines, Catalog and SQL are now one product built on Apache Iceberg and R2 storage. You pay when data is ingested, processed or queried, and egress is free.
Explainer
Real-time analytics: when streaming data is worth it, and how it works
Real-time analytics answers questions while there is still time to act on them. It also costs more to build and run, so the first job is deciding which questions need it.
Guide
Seven data analysis mistakes that lead to bad business decisions
Most analysis mistakes aren't about math. They come from asking the wrong question of the data, or reading more into a result than it can support.
Guide
Data management best practices: a practical checklist built on DAMA's framework
Data management covers eleven areas in the industry's standard framework. A mid-size company doesn't need all of them at once. Here is where to start.
Explainer
Big data platforms in 2026: the lakehouse, Spark and open table formats
Big data no longer means running a Hadoop cluster. It means cheap object storage, an open table format, and whichever engines you want to query it with.
Explainer
Modern BI vs traditional BI: what changed, and what to keep
Traditional BI put IT between the business and its data. Modern BI removed that bottleneck and created a new problem: five dashboards with five different revenue figures.
Explainer
The EU Data Act is now in force: what it changes for device data and cloud switching
Europe's Data Act turns data from connected products into something users can demand, and makes leaving a cloud provider cheaper. Companies selling into the EU have obligations either way.
Explainer
Data lake or data warehouse: which one your company needs
A warehouse holds cleaned data built for reporting. A lake holds raw data of every kind for whoever needs it later. Most companies end up needing both.
Guide
Big data for mid-size companies: where it pays off and how to start
Big data projects fail more often from vague goals than from technology. The ones that pay off start with one decision the business wants to make better.
Explainer
Data integration explained: ETL, ELT, change data capture and reverse ETL
Every report, dashboard and AI project depends on getting data out of business systems and into one place. There are four main ways to do it.