A practical guide to how databases work, covering schema design, SQL, indexing, transactions, concurrency, caching, pagination, and database selection.
What vector and graph databases actually do, why AI agents made both matter, which vendors offer UK hosting, and when the ...
A single unauthenticated HTTP request to Metabase's password-reset endpoint was all it took for an attacker to gain full administrator access to an analytics platform trusted by tens of thousands of ...
Snowflake is evolving beyond traditional data warehousing into a comprehensive AI data platform. With innovations such as Cortex Sense, Adaptive Compute, and unified governance, the company is ...
SQL has long been the standard for database queries, but it was built for a structured world—and AI doesn't live in one. MongoDB (NASDAQ: MDB) recognized this early. Its document-based architecture ...
Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer for RAG pipelines, semantic search systems, ...
Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter business decisions. Cloud and lakehouse platforms such as Snowflake and Delta Lake ...
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Crafting complex SQL queries can be challenging. Often, engineers simply want to express their data needs in plain English directly within their SQL workflow. Recently, we have seen how "vibe coding" ...
Expert Query empowers users to access surface water quality data from the Assessment and TMDL Tracking and Implementation System (ATTAINS), encompassing Assessment decisions (under Clean Water Act ...
A severe vulnerability affecting multiple MongoDB versions, dubbed MongoBleed (CVE-2025-14847), is being actively exploited in the wild, with over 80,000 potentially vulnerable servers exposed on the ...
Memori 现已发展为一套功能完备的开源记忆系统，旨在借助标准数据库而非专有向量存储，为智能体（AI Agent）提供长期化、结构化且可查询的记忆能力。区别于依赖临时提示词或瞬时会话状态的 ...
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