The phrase "a time where data" is not entirely correct; it should be "a time when data." You can use it when discussing a specific period or context in which data is relevant or significant.
Example: "We are living in a time when data drives decision-making in every industry."
Alternatives: "an era in which data" or "a period when data".
At a time where data caps loom large, Comcast enabled its streaming video service delivered via Xbox game consoles to operate without counting against those caps.
As Claire Melamed, author of the UN's Data Revolution report writes today in Significance, we are living at a time where data has never been more in demand - but there remain critical and surprisingly basic gaps in what we currently count.
Whenever the EMV algorithm generates state values, [ x], at a time where data measurements, [ y ^ ], are available, Set Inversion Via Interval Analysis (SIVIA) [ 21] is used to compare the two.
White space on the heatmap highlights periods of time where data were not recorded by the system and can provide a visual cue for newly added EDs, hospital closures or data drop-offs.
The epoch 2014.0 corresponds to a time where satellite data and observatory data coverage overlaps.
BigID has a product that helps companies inventory their data, even extremely large data stores, and identify the most sensitive information, a convenient feature at a time where GDPR data privacy rules, which went into effect at the end of May, require that companies doing business in the EU have a grip on their customer data.
As workloads migrate to the cloud, and other workloads migrate the other direction towards the edge, there are increasingly times where data needs to be both stored and processed far away from your data center.
This project was initiated at a time where very little sequence data was publicly available for salmonid species.
While Clinton's mistake could be viewed as arrogant (at best) and de facto reckless, it is crucial for us to avoid finger-pointing at a time where virtually every digital mishap, data-security giveaway and metadata misfire should be looked at as being so many teachable moments.
Panelists will be given time to share their personal experiences, visions for the future, and concerns about preserving data in a time where threats of climate change, encroaching governmental policies, and professional accountability affect the memory work being done both by individuals and institutions.
Not at all, I just see that we live in a time where things like Big Data and Open Data and these ways of looking at problems, they're bypassing big Ministries like the one I work in, which could hugely benefit from them.
