Data Downtime Blog

Data Observability: How Yotpo Fixes Data Quality at Scale with Monte Carlo
Here's how the Yotpo leverages Data Observability to prevent broken analytics dashboards and increase trust in their data.
Data Downtime
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Data Engineering 101: How to Prevent Data Downtime
Your data broke. Now what? Here's how some of the best data teams prevent data downtime and, in the process,…
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Why Testing Your Data Is Insufficient
Data is a dynamic, ever-evolving entity. So why aren't we treating it like one? Here's why a hybrid approach to…
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How to Improve Data Engineering Workflows with End-to-End Data Observability
With data observability, data teams can now identify and prevent inaccurate, missing, or erroneous data from breaking your analytics dashboards,…
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Incident Prevention for Data Teams: Introducing the 5 Pillars of Data Observability
By applying principles of DevOps Observability (think: traces, logs, and metrics), data teams can achieve similar levels of visibility into…
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Metadata is Useless — Unless You Have a Use Case
Here's why having metadata and lineage without a clear business application is worse than having no metadata at all.
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The Data Downtime Before Christmas
What happens when a freshness anomaly threatens to ruin Christmas? Turns out, even Santa Claus and his elves aren’t…
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Data Catalogs Are Dead; Long Live Data Discovery
Data catalogs aren't cutting it any more when it comes to metadata management and data governance. Here's how data discovery…
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How Compass is Reinventing Real Estate with Data Reliability in the Cloud
Learn how Compass leverages data observability to increase cost savings, facilitate better collaboration, and achieve data reliability in the cloud…
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How to Set Up Your Company’s Data Quality Strategy for Success
5 essentials steps for accelerating the adoption of data at your company…
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Monte Carlo Releases Data Observability Platform to Unlock the Potential of the Modern Data Stack
The Monte Carlo Data Observability Platform is the first end-to-end solution to prevent broken data pipelines and dashboards.
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Data Lake vs. Warehouse: How to Choose the Right Solution for Your Stack
Data warehouse? Data lake? Data lakehouse? All of the above? Here’s what you need to know to make the right…
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Delivering End-to-End Data Observability with Looker and Monte Carlo
Monte Carlo is excited to announce our partnership with Looker, a leading business intelligence software and big data analytics platform,…
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Bringing Reliable Data and AI to the Cloud: A Q&A with Databricks’ Matei Zaharia
An interview with Apache Spark creator Matei Zaharia on all things AI, the cloud, and data reliability…
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Demystifying Data Observability
3 practical examples on how to get started with data observability…
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On the 2020 Elections, Texas Hold’em Poker, and Monte Carlo Simulations
What do Texas Hold 'Em poker, Monte Carlo simulations, and the 2020 U.S. elections have in common? It's more than…
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Data Observability: How to Fix Your Broken Data Pipelines
In 2020, data is the new software. While software needs to be highly available, data needs to be highly reliable.
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How to Solve the “You’re Using THAT Table?!” Problem
How to keep track of your data warehouse's most critical table and reports…
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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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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…
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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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On Data Governance: Maria Villar, Head of Enterprise Data Strategy and Transformation
We sat down with Maria Villar, Head of Enterprise Data Strategy and Transformation at SAP, to learn how the best…
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Fighting Churn with Data: An Interview with Zuora Chief Data Scientist Carl Gold
And why data reliability is top of mind for the Subscription Economy…
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A Summer at Monte Carlo: Improving Data Pipeline Observability at Scale
How I spent my summer internship on Monte Carlo’s software engineering team…
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Why Hiring a Data Analyst Won’t Solve Your Business Problems
Building a strong data culture is challenging for even the data teams. We partnered with Data Culture co-founders Gabi Steele…
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What Every Data Team Needs to Know Before You IPO
We share 5 essential ways data teams can prepare their companies for a successful IPO.
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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.