2+ day, 3+ hour ago   (1647+ words) Databricks disk cache speeds up repeated reads from curated Parquet or Delta tables, but it works best with good table design and partitioning. In many analytics platforms, there are performance issues that do not always come from complex transformations. Sometimes…...

4+ day, 3+ hour ago   (264+ words) The new context layer connects to existing SQL databases and builds a governed, model-agnostic foundation for AI agents running on live operational data, in weeks rather than years. This article was provided by TechnologyWire and does not represent the editorial…...

4+ day, 3+ hour ago   (1391+ words) Run Neo4j graph algorithms directly on your Snowflake data to uncover insights about connectivity, criticality, and failure impact that SQL alone can't easily surface. Snowflake has become a go-to platform for storing and querying operational data at scale. SQL is excellent…...

4+ day, 23+ hour ago   (1117+ words) Most enterprise QA teams aren't equipped to detect AI hallucinations. Here's the testing framework they need with code examples and real-world scenarios. The first time most teams encounter a hallucination in production, they treat it like a bug. They investigate…...

5+ day, 1+ hour ago   (722+ words) Databricks Lakebase introduces database branching, giving each agent an isolated workspace to safely experiment, test changes, and merge validated updates. There's an awkward moment in every agentic data project. The agent works. It writes decent SQL, it reasons about schema,…...

5+ day, 23+ hour ago   (535+ words) How a database subsetting tool turned a plain-English request into a reviewable, undoable extraction model — instead of just another SQL-generation chatbot. This is where Jailer's AI Subsetting Assistant comes in. It's a narrower, more interesting problem than "generate me some…...

1+ week, 3+ day ago   (373+ words) Apache Spark job performance issues are frequently caused by improper join strategies leading to excessive data shuffling, rather than suboptimal code. I learned this lesson the hard way. We had a critical data pipeline running for over 3 hours every single…...

1+ week, 4+ day ago   (551+ words) An enterprise architecture (EA) tool is a software platform that enterprises use to capture, connect, and continuously maintain a structured picture of the enterprise covering strategies, business capabilities, processes, applications, data, technologies, and the relationships between all these elements. An…...

1+ week, 4+ day ago   (874+ words) Change data capture (CDC) pipelines look straightforward on paper: capture database changes, publish them to Kafka, and update downstream systems. The difficulty starts when events are duplicated, consumers restart, projections drift, or a team needs to replay months of history without…...

2+ week, 1+ day ago   (508+ words) In this article, we will discuss monitoring AI models wisely. Prioritize actionable alerts so that real issues stand out instead of getting lost in the noise. When a team learns to disregard 95% of the issues, they are very likely to…...