Frisky, a Rust-based reimplementation of the Dask parallel computing library, achieves 250,000-400,000 tasks per second with roughly 3 µs overhead, compared to Dask's ~2,600-3,000 tasks/s. The project…
A developer argues that SQL remains the most important skill for data engineers, despite the rise of new technologies like Spark, Kafka, and AI. The developer emphasizes that SQL is foundational for s…
Spark 4.2 adds native vector search with SQL primitives like NEAREST BY, enabling batch and analytical retrieval without a separate vector database. However, for real-time, low-latency serving, dedica…
A data science workflow for cloud-based AI recommends using S3-compatible object storage, managed notebooks like Vertex AI or SageMaker for EDA, ephemeral GPU instances for training, and containerized…
SkyPilot, a control plane that unifies fragmented AI compute into a single pool, emerged from stealth today. The open-source platform, which began as a PhD project at Berkeley, now manages over 10,000…
Yelp has launched Training Orchestrator, a new internal framework that replaces individual team Spark training scripts with a configuration-driven, DAG-based execution model to unify machine learning …
Caltech spinout Oratomic has emerged from stealth with $300 million in funding to build a quantum computer using just 10,000 to 20,000 qubits by 2030, a figure that slashes industry estimates by a fac…
A developer built Spark, an AI-powered reflection experience that uses Gemini to analyze user interviews and identify recurring motivational patterns. Instead of treating passion as a hidden trait, Sp…
Anthropic announced Tuesday that its AI agent Claude Cowork can now run tasks on users' smartphones and web browsers without requiring an active desktop session, enabling scheduled tasks to run overni…
A data engineer outlines a practical roadmap for breaking into the field in 2026, emphasizing SQL fluency, Python scripting, cloud cost optimization, and data modeling over outdated tools like Hadoop.…
Zilliz announced a new storage engine called Loon that supports real-time search, large-scale discovery, and batch analytics from a single copy of vector data on low-cost object storage, enabling onli…
XGBoost, an optimized gradient boosting library, has become a dominant tool in machine learning competitions like Kaggle due to its speed, memory efficiency, and parallel processing. Developed by the …
Suno launched Spark, an incubator program offering grants, mentorship, and marketing support to independent artists, but requires them to agree to controversial terms that critics say restrict critici…
Databricks co-founders Matei Zaharia and Reynold Xin argue that the frontier AI ecosystem must remain open, unveiling Omnigent, an open-source meta-harness for combining and controlling agents across …
New Zealand organizations are shifting from basic cloud migrations to AI-driven strategies, with public cloud spend projected to nearly double to NZ$9.6 billion by 2028. Experts warn that undiscipline…
EnterpriseDB (EDB) introduced converged analytics capabilities for its managed EDB Postgres AI database service, aiming to support AI agents by unifying transactional and analytical processing on Post…
Researchers conducting epistemic stress tests on closed large language models (LLMs) found that model breakdowns are not errors but ontological boundaries of predictive-text systems. The study observe…
Senior editor TC Sottek and colleagues at The Verge tested Google's new Gemini AI agent, Spark, and found it could infer personal details such as a tester's dog's name and a spouse's first name withou…
Google's new Gemini AI agent, Spark, demonstrated unsettling effectiveness by accessing personal details about users without explicit disclosure, including a reporter's dog's name and his colleague's …
Data science and data analytics are distinct career paths with different focuses, skills, and educational requirements. Data analytics interprets existing data to identify trends and inform business d…