Kevin Hu, PhD – Medium

Kevin Hu, PhD

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Towards Data Science

The Origins, Purpose, and Practice of Data Observability

Data observability is an emerging technology that solves an age-old problem: increasing awareness and trust in data systems.

Aug 4, 2022

The Origins, Purpose, and Practice of Data Observability

Aug 4, 2022

Published in
Metaplane

How to manage tags for objects in Snowflake

Your data is the foundation for all the insights and strategies that drive your business forward. But the more data you collect, the higher…

Mar 8

How to manage tags for objects in Snowflake

Mar 8

Published in
Metaplane

Announcing Metaplane’s $13.8M Series A

Other links:

Mar 5

Announcing Metaplane’s $13.8M Series A

Mar 5

Published in
Metaplane

The essential data observability handbook: Proven techniques for modern data teams

This detailed guide to data observability covers:

Mar 3

The essential data observability handbook: Proven techniques for modern data teams

Mar 3

Published in
Metaplane

What is Data Completeness? Definition, Examples, and Best Practices

If you care about whether your business succeeds or fails, you should care about data completeness. Data completeness is important because…

Mar 2

What is Data Completeness? Definition, Examples, and Best Practices

Mar 2

Published in
Metaplane

Three Ways to Retrieve Row Counts in Redshift Tables and Views

As your data grows in your Amazon Redshift cluster, it’s important to have an accurate count of the number of rows in your tables or views…

Mar 2

Three Ways to Retrieve Row Counts in Redshift Tables and Views

Mar 2

Published in
Metaplane

What Is Data Accuracy? Definition, Examples, and Best Practices

If you care about whether your business succeeds or fails, you should care about data accuracy. Data accuracy is important because it has…

Mar 2

What Is Data Accuracy? Definition, Examples, and Best Practices

Mar 2

Published in
Metaplane

What is Data Validity? Definition, Examples, and Best Practices

How confident are you that the data you’re working with is actually valid?

Mar 2

What is Data Validity? Definition, Examples, and Best Practices

Mar 2

Published in
Metaplane

What is Data Freshness? Definition, Examples, and Best Practices

If you care about whether your business succeeds or fails, you should care about data freshness. Fresh data is important because it has a…

Mar 2

What is Data Freshness? Definition, Examples, and Best Practices

Mar 2

Published in
Metaplane

Stay Fresh: Two Ways to Track Update Times for Snowflake Tables and Views

Ever experienced a delayed dashboard? Been frustrated by late data for that critical report? That’s the sting of stale data, or rather…

Mar 2

Stay Fresh: Two Ways to Track Update Times for Snowflake Tables and Views

Mar 2

Kevin Hu, PhD

Kevin Hu, PhD

CEO of metaplane.dev — automated, end-to-end data observability. Prev YC and ML+vis research at MIT. Reach me here @ linkedin.com/in/kevinzenghu/

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