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GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables. Here’s what data scientists can do now to prepare.
Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage.
At its European Fabric Community Conference last week, Microsoft released a volley of incremental updates to woo enterprises to its data platform.
Highly optimized incremental backups, expanded SQL/JSON support, and a configurable SLRU cache are three of the most impactful new features in the latest PostgreSQL release.
New extension pack bundles VS Code extensions for Python language support, Jupyter notebooks, data wrangling, and the GitHub Copilot AI-powered programming assistant.
Python 3.13 is coming soon, and it will leave Python’s ‘dead batteries’ behind. Now’s the time to learn how to live without them. Also, get started with Pillow, enums, and the 'ast' library.
Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know.
Other updates include support for open source Apache Spark and Kafka integrations to BigQuery.
Apache Iceberg provides an open table format for interoperability across data lakes, showing the importance of a true open standard.
Success factors for data-driven business maturity are as variable as organizations themselves, finds a BMC report on DataOps and operationalizing data.