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DAT Freight and Analytics - DAT
DAT Freight and Analytics operates DAT One truckload freight marketplace
DAT Freight & Analytics operates DAT One, North America’s largest truckload freight marketplace; DAT iQ, the industry’s leading freight data analytics service; and Trucker Tools, the leader in load visibility. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Ore., DAT continues to set the standard for innovation in the trucking and logistics industry.
The Minions programming language makes it easy to write performant, highly parallel programs. Minions are especially good at web apps. Minions like the web.
DragnDrop is a simple cross-platform utility to assist in debugging and monitoring drag-n-drop and clipboard interactions. It is of use to both developers and end users.
Swing Spy is java based Swing/AWT spy agent that prints the widget under the cursor (like Spy++ for Windows/MFC and SWT Spy for Java-SWT). Download from the homepage: http://www.nenoff.com/swingspy/
This provides an interactive, programmer-friendly interface to VMware's VProbes facility. VProbes is a safe, dynamic technology for instrumenting software running in virtual machines, and the software stack itself.
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery 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.