Data Observability | Lightup Data

Revisiting Data Quality and Data Observability: What’s (E)merging and Why That Matters

In 2023, I wrote a blog highlighting the similarities and differences between Data Quality and Data Observability technology platforms, Myth-Busting Straight Talk About Data Quality Monitoring and Data Observability. Back then, there was still a fair amount of confusion about the terminology and categorization of products in the Data Quality realm. “Data Quality” has been […]

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blogimage blog navigating the data quality and data observability landscape understanding architectural nuances

Navigating the Data Quality Monitoring and Data Observability Landscape: Understanding Architectural Nuances

All Posts / Manu Bansal

In the ever-evolving realm of Data Quality Monitoring and Data Observability, we’ve witnessed a significant technology transformation over the past few years.

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Myth-Busting Straight Talk About Data Quality Monitoring and Data Observability

All Posts / Manu Bansal

What is Data Observability vs. Data Quality Monitoring? What are they used for?Are they interchangeable? Do they overlap? Whether posed by customers, investors, or reporters, these questions inevitably come up. Blurred messaging. Inflated positioning. Broad claims. Overstated capabilities. No wonder there’s market confusion over the differences between Data Observability and Data Quality Monitoring. Is

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Data Quality Coverage and Readiness Part 2

All Posts / Manu Bansal

Image by Juliana Castro , CC BY-SA 4.0, via Wikimedia Commons In the first part of this series, we took a look at the different factors that impact your data quality and symptoms of “bad data”. We also learned that the actual percentages of all data an organization collects that is considered business-critical are actually

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Data Quality Coverage and Readiness Part 1

All Posts / Manu Bansal

Photo by Mike Cohen on Flickr For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset — Data. But having just massive troves of data isn’t enough. The key to being truly data-driven is having access to accurate, complete, and reliable data. In

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Data Observability: What’s Changed and Why Now is the Time to Solve It

All Posts / Manu Bansal

Photo by Markus Spiske from Pexels Introduction Why has data observability suddenly become such a hot topic? What’s changed in the data stack that’s made observability a new, different, and solvable problem — and why can’t legacy tools seem to deal with it? I recently answered these questions, and many more, in a far-ranging chat

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