The landscape of software development has undergone a significant transformation, with data engineering emerging as a crucial discipline while traditional back-end engineering roles evolve.

Today, we’re adding support for hourly data to the Search Analytics API; we heard ecosystem requests to make this data more accessible, loud and clear. The API will return data for up to 10 days ...

In the world of data cleaning, two approaches often stand out: Python, the go-to for coding enthusiasts, and Excel’s Power Query, a code-free, user-friendly alternative.

Once your data finds its way into one of these datadumps (that is, files containing breached information), there are some things you can do yourself to safeguard your data and some services that ...

Storage This early development version of SWEET uses the Azure storage libraries for python, and holds all of its data in json files in blob containers. This is simple and efficient for development.

One potentially common barrier to adopting AI is the quality of data. Accurate, up-to-date, and relevant data is essential for agents to function effectively.

Adoption of Bloomberg’s real-time market data feed, B-PIPE, and evaluated pricing service, BVAL, to enhance efficiency and power insights across the enterprise ...

Salt Security, the leading API security company, is announcing its integration with Google Cloud's Apigee API Management-Google Cloud's native API management tool to build, manage, and secure APIs for ...

API-based data access also reduces the risk of errors and inconsistencies that arise from direct access and ad-hoc queries. Finally, it can help to control cloud costs by limiting the number of ...

The back-ends-for-front-ends pattern often emerges in any well-designed microservices architecture without explicit intent. Front-end developers typically desire a single, reusable and easily testable ...