Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Skills in Python, SQL, Hadoop, and Spark help with collecting, managing, and analyzing large volumes of data. Using visualization tool ...

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...

Google Cloud has recently announced the preview of a global queries feature for BigQuery. The new option lets developers run ...

Tenable Research revealed "LeakyLooker," a set of nine novel cross-tenant vulnerabilities in Google Looker Studio. These flaws could have let attackers exfiltrate or modify data across Google services ...

Microsoft has made Fabric IQ's business ontology accessible via MCP to any AI agent from any vendor, targeting the core ...

AI might be able to code, but it doesn't replace actual knowledge (yet).

Marketers may see AI integration as a panacea for challenges, but the first step is differentiating between single-point AI ...

Remembering the classic data center during a keynote at GTC, Nvidia CEO Jensen Huang said “it used to be … for files. It’s ...

What to expect from a marketing analyst in 2026, how the market has changed, and what does AI have to do with it?