Stonebraker essentially abandoned Postgres in the mid-1990s. But instead of fading into obscurity, the codebase was salvaged ...

Abstract: Domain-specific architecture has greatly improved performance and energy efficiency in in-memory databases, especially for accelerating single-functional computing logic in analytic query ...

Power Query and Power Pivot help Excel users manage large datasets more efficiently. Power Query focuses on cleaning and preparing data, while Power Pivot handles analysis and reporting. Together, ...

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Abstract: MapReduce is a widely-used programming model in cloud environment for parallel processing large-scale data sets. The combination of the high-level language with a SQL-to-MapReduce translator ...

This server enables end users to query KDB-X data through natural language, providing production-grade resources, prompts, and tools for seamless data interaction. Built on an extensible framework ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even though we probably won't. For all its popularity and success, SQL is a ...

The Storage API streams data in parallel directly from BigQuery via gRPC without using Google Cloud Storage as an intermediary. It has a number of advantages over using the previous export-based read ...

RE:INVENT There are two important changes to AWS's ubiquitous S3 storage service arriving soon: first, a new Table bucket type aimed at data analytics; and second, a previewed metadata feature that ...

If you’ve always been in awe of folks using the Google Search Console API to do cool things, this article is a good read for you. You can use BigQuery with the GSC bulk data export to get some of the ...