Data Downtime Blog
Data Observability: The Next Frontier of Data Engineering
To keep pace with data’s clock speed of innovation, data engineers need to invest in data observability, the next frontier of data engineering and a pillar of the emerging Data Reliability category.
Data Downtime
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Monte Carlo Raises $16M to Build the World’s First Data Reliability Platform
With customers such as Compass, Eventbrite, and Mindbody, Monte Carlo is spearheading the Data Reliability category and delivering end-to-end Data…
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Introducing the Pioneers of Data Reliability
A thank you to Monte Carlo’s customers, design partners, and data leaders spearheading the data reliability movement.
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Introducing the New ABCs of Data
To help you keep pace with the evolving world of data, we put together the new essential alphabet for data…
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[VIDEO] Introducing Data Downtime: From Firefighting to Winning
During a 2019 Data Council meetup, Monte Carlo Co-founder & CEO Barr Moses discusses why data downtime matters to the…
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How to Calculate the Cost of Data Downtime
Introducing a better way to measure the financial impact of bad data on your company…
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What is a Data Mesh — and How Not to Mesh it Up
A beginner’s guide to implementing the latest industry trend: a data mesh.
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How to Fix Your Data Quality Problem
Introducing a better way to prevent bad data.
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What is Data Reliability?
And how to use it to start trusting your data.
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Bad Data, More Problems
And other important lessons for the data industry.
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How to Migrate to Snowflake Like a Boss
3 things you need to know for a smooth migration.
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What is Data Observability?
Hint: it’s not just data for DevOps.
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Data Quality — You’re Measuring It Wrong
Introducing a better way: data downtime.
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Good Pipelines, Bad Data
How to start trusting data in your company.
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Every Company is a Data Company (But Not Every Company is Good at Data)
The inverse relationship between data appetite and data success.
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Closing the Data Downtime Gap
How to get ahead of bad data.
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The Rise of Data Downtime
Introducing “data downtime” and its importance to data teams.
Data Culture
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Which of the Six Major Data Personas Are You?
Who is responsible for data reliability in your data organization? The answer may surprise you.
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What Does it Take to Succeed as a CDO in the Age of COVID-19?
We share three key takeaways from the event and propose next steps for CDOs to retain their competitive edge in…
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[VIDEO] 3 Best Practices for Data Organizations: Structure, ROI, & Communications
Barr Moses, Monte Carlo co-founder and CEO, discusses best practices for how to get started building your data team with…
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4 Essential Tactics for Managing a Great Distributed Data Team
Everything data leaders need to know about managing distributed teams in our remote-first world.
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How to Build Your Data Platform like a Product
We share advice for designing a data platform that will maximize the value and impact of data at your company.
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Good Tales of Bad Data
When data breaks and no one hears it, does it make a sound? And other tales for data teams.
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How to Scale Your Data Team with Confidence
Building a data-first culture in our remote-first world takes more than a few fancy algorithms.
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What We Got Wrong About Data Governance
And how we can make it right.
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4 Ways to Lead with Data During a Global Pandemic
Defining the role of data leaders during a pandemic.
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How to Measure the ROI of Your Data Organization
A more pragmatic approach to measuring the value of your data team.
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You Say You Want a (Data) Revolution
Lessons learned making data a priority for the enterprise.
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3 Takeaways from the 2019 Chief Data Officer Symposium
What the world’s most innovative CDOs are up to.