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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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Branchless workflow for Git
High-velocity, monorepo-scale workflow for Git
git-branchless is a suite of tools that enhances Git in several ways. It makes Git easier to use, both for novices and for power users. Patch-stack workflows: strong support for "patch-stack" workflows as used by the Linux and Git projects, as well as at many large tech companies. (This is how Git was "meant" to be used.) Prototyping and experimenting workflows: strong support for prototyping and experimental work via "divergent" development. git sync: to rebase all local commit stacks and branches without having to check them out first. git move: The ability to move subtrees rather than "sticks" while cleaning up old branches, not touching the working copy, etc. ...
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