Editor's Picks
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Guide
Ultimate Guide To Data Observability In 2025
This is your one-stop shop for all things data observability. Learn what data observability is, who it’s for and who uses it, how it benefits organizations, how it works, key terms, use cases, and best practices.
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Guide
Data Quality Survey Template
Prior to making an investment in data observability products or data quality initiatives, companies often want to conduct a data quality survey. Below, we present a template for such a survey that can be filled out for your own use.
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Research
Eckerson Deep Dive: Data Quality Automation
Traditional techniques for ensuring data quality break at scale. As organizations deal with the ever-growing volume and velocity of data, data engineering teams can’t keep up, leading business users to view their reports and dashboards with skepticism.
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Research
451 Research on the Disruption of Data Quality
Borrowing observability concepts primarily from software engineering, data observability seeks to apply observability principles to the data layer itself, primarily for the purpose of ensuring downstream data quality and integrity.
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The observatory
Dan Shiebler, Abnormal
Dan Shiebler, head of ML and AI at Abnormal, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss resilient ML, cybersecurity, and more.
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The observatory
Dawn Woodard, LinkedIn
Dawn Woodard, distinguished data scientist and LinkedIn, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss data science careers, managing teams, and more.
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The observatory
Adi Polak, lakeFS
Adi Polak, VP of devex at Treeverse, and Kyle Kirwan, CEO and co-founder of Bigeye, careers in developer experience, the open-source data community, the biggest "oh damn moment" of Adi's career, and more.
Analytics
Data catalog
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The observatory
Colin Zima, Omni
Colin Zima, founder of Omni, talks about workbook models, lessons learned from Looker, and nudging toward scalability.
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The observatory
Ethan Aaron, Portable
Ethan Aaron, founder of Portable, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss the MVP modern data stack, the data tracks controversy, and two trends in data you should be leveraging right now.
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The observatory
Andrew Jones, GoCardless
Andrew Jones, tech lead for the data pillar at GoCardless, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss the invention of data contracts and building out the data pillar of a fintech unicorn.
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The observatory
Justin Berka, Nearside
Justin Berka, head of data at Nearside, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss accidental data careers, finding superstars for data roles, and the challenges of the T-shape.
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The observatory
Chad Sanderson, Convoy
Chad Sanderson, head of data at Convoy, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss the hub-and-spoke data team structure, 1990s data initiatives, and resolving long-term technical debt.
Tech debt
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The observatory
Caitlin Colgrove, Hex Technologies
Caitlin Colgrove, founder and CTO of Hex Technologies, and Kyle Kirwan, CEO and co-founder of Bigeye, discuss the proliferation of tools along the data pipeline and why teams are gaining the technical chops to work with them.
Data Science
Hex
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The observatory
Benn Stancil, Mode
Benn and Kyle Kirwan, CEO and co-founder of Bigeye, converse on the rise of code-forward data analytics tools and why, despite better tools, the demand for data analytics is still unmet.
Analytics
Mode
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The observatory
Boris Jabes, Census
Boris Jabes, founder and CEO of Census, weighs in on reverse ETL (and its derivatives) and shares his view for what people get wrong about the data field.
Census
Reverse ETL
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The observatory
Mark Grover, Stemma
Kyle, from The Observatory, and Mark Grover, founder and CEO of Stemma, discuss data catalogs, the history of data, and how open source and data catalogs go hand in hand.
Data catalog
Data governance
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