Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Data issues are addressed only when problems arise. Completeness : Low (e.g., 60-70%) due to lack of standardized data entry processes. Accuracy : Low (e.g., 60-70%) as data is often outdated or ...

However, according to Soda’s research which followed a survey of almost 100 data engineers and subject matter experts, engineers are increasingly finding the bulk of their time consumed by data issues ...

A June 27, 2025, Google study has uncovered serious quality issues in three of the most widely used public multilingual ...

The GERS IDs enable organisations to join datasets, share information and onboard new data using open and accessible ...

Britain is set to split the top job at the country's statistics office to create a second role focused on overseeing the ...

X is still experiencing performance issues a few days after a data center outage brought the site down, with feeds struggling to load on Saturday morning. The site went down for many users around ...

Problems at the Office for National Statistics, which provides data informing policy decisions affecting millions, need to be addressed so it can rebuild its reputation, a review says.

Shayne Longpre, the lead at the Data Provenance Initiative, a volunteer collective that audits AI datasets, sees the DPA’s efforts to source data ethically as admirable, although he suspects the ...

Not all data problems have straightforward solutions. For example, missing values or anomalies may lack a reliable source of truth. When faced with such challenges, consider the following strategies: ...

The project you're working on involves leveraging open-source data and creating a public map of the entire seabed by ... we're really thinking about and trying to address the problems of scale.