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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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consistent data stream

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "consistent data stream" is correct and usable in written English.
It can be used in contexts related to technology, data transmission, or information processing where reliability and continuity of data flow are important. Example: "To ensure optimal performance, we need to establish a consistent data stream between the server and the client."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Glove and marker data stream were resampled to 150 Hz, combined into a single consistent data stream, time-stamped accordingly, and stored for offline analysis.

Science

Plosone

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

GraphTau also unifies data streaming and graph streaming processing.

3) Opportunity cooperative communication with data streaming.

More generally, a data stream with a complete, consistent enumeration of literals determines the truth of every quantified statement in the given first-order language.

Science

SEP

Models and issues in data stream systems.

In a processor, an instruction stream permeates a data stream.

These bits are formed into an encoded data stream.

Consistent data is not available for that group.

to model the actual data stream.

There is one data stream per UT.

But most companies are deaf to that data stream.

News & Media

Forbes
Show more...

Expert writing Tips

Best practice

When discussing real-time systems or data processing pipelines, ensure that the term "consistent data stream" is used to emphasize the importance of uninterrupted and reliable data flow for optimal performance.

Common error

Don't assume a "consistent data stream" without proper validation and monitoring. Implement checks to ensure data integrity and handle potential disruptions gracefully.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.2/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "consistent data stream" functions as a noun phrase describing a reliable and continuous flow of data. Ludwig AI confirms its usability in written English, particularly in technical and analytical contexts.

Expression frequency: Rare

Frequent in

Science

40%

Academia

30%

News & Media

20%

Less common in

Formal & Business

5%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

The phrase "consistent data stream" denotes a reliable and uninterrupted flow of data, crucial for maintaining accuracy and efficiency in various applications. Ludwig AI validates its proper usage in written English, particularly in technical and analytical contexts. While relatively rare, its presence in academic, scientific, and news domains highlights its significance. To ensure effective communication, always validate and monitor the data stream to prevent inconsistencies. Consider using alternative phrases like "reliable data stream" or "stable data flow" for nuanced expressions. Always use the phrase "consistent data stream" with precision to emphasize the need for continuous and reliable data.

FAQs

How can I ensure a "consistent data stream" in my application?

Implement robust error handling, data validation, and monitoring mechanisms. Regularly check for data integrity and address any disruptions promptly to maintain a reliable data flow.

What does "consistent data stream" mean in the context of data analysis?

It refers to a continuous and reliable flow of data that is free from interruptions or inconsistencies, ensuring accurate and timely analysis.

What are some alternatives to "consistent data stream"?

You can use alternatives such as "reliable data stream", "stable data flow", or "continuous data flow" depending on the specific nuance you want to convey.

Why is maintaining a "consistent data stream" important?

It's crucial for real-time applications, accurate data analysis, and reliable system performance. Interruptions or inconsistencies can lead to errors, delays, and compromised decision-making.

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Source & Trust

82%

Authority and reliability

4.2/5

Expert rating

Real-world application tested

Most frequent sentences: