Sentence examples for a data life from inspiring English sources

The phrase "a data life" is not standard in written English and may cause confusion.
It could be used in contexts discussing the lifestyle or experiences related to data, but it lacks clarity without additional context.
Example: "Living a data life means constantly analyzing information and making data-driven decisions in everyday situations."
Alternatives: "a data-driven lifestyle" or "a life centered around data".

Exact(2)

The work discussed in this paper is mainly consolidated of two independently targeted frameworks: a data life cycle management framework for e-Science applications and a code execution framework handling multiple problem solving environments.

In recent months, the DISCO team implemented a data life cycle tracking system, where each chunk of data is compared with a previous version, and NIF logs any changes including how many elements are present in a database, which ones have been updated, which have been added and which have been deleted.

Similar(58)

There have been a number of privacy-preserving mechanisms developed for privacy protection at different stages (for example, data generation, data storage, and data processing) of a big data life cycle.

Storing and sharing your data in a repository is an important piece of the data life cycle.

Fig. 1 Big data life cycle stages of big data life cycle, i.e., data generation, storage, and processing are shown.

Additional details on raw data, life cycle inventories and results.

Instead of planning for the minimum of what is required today, executives should be thinking about what performance will be required at the end of a data center's life.

Phase 1: My life as a data entry clerk.

This biological analogy was recently brought to life in a data visualization called Tube Heartbeat, which was produced by Oliver O'Brien, a Senior Research Associate at University College London (UCL).

Most aspects of daily life as a data scientist at Advance involve solving problems similar to other companies in the retail sector.

She will discuss the pros and cons of this career change, the day-to-day life of a data scientist in tech, and how one might prepare to make such a transition.

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