The Data Downtime Blog

The latest trends and news in data observability.

Most recent

How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack

We sat down with Ed Presz, Director of Data at Pie Insurance, to learn how his team built an incident detection and notification workflow to drive domain-oriented ownership of data quality for business stakeholders.

Improve Data Consistency With Monte Carlo’s Cross-Database Rules

Data Observability: Reliability In The AI Era

Billy Beane, Generative AI, and Data Observability: 5 Reasons Why I’m Excited About IMPACT 2023 – And You Should Be, Too

Easily Integrate Monte Carlo with Databricks via Partner Connect

Monte Carlo Expands Deployment Options To Enable Multi-Cloud Hosting

What is a Data Mesh — and How Not to Mesh it Up

The Ultimate Guide To Data Lineage

What is Data Observability? 5 Key Pillars To Know

Data Observability

17 Valuable Use Cases for Automated Data Lineage

Learn how today's data teams apply automated lineage to boost productivity, reduce time to incident resolution, and more.

Download

What Does Your Data Quality Really Need? Understanding the Data Quality Maturity Curve.

Monte Carlo Announces Support for Kafka and Vector Databases at IMPACT 2023

Billy Beane, Generative AI, and Data Observability: 5 Reasons Why I’m Excited About IMPACT 2023 – And You Should Be, Too

Is Open Source Data Observability the Answer to Your Data Quality Woes?

What are data clean rooms? The best place to share without really sharing

How to Set Data Quality Standards for Your Company the Right Way

Data Platforms

Mastering Data Migrations: A Comprehensive Guide

Data Orchestration Tools (Quick Reference Guide)

Cheat Sheet: A Data Leader's Guide to Data Metrics

Access the must-have metrics today's data leaders use to measure data quality, platform ROI, team productivity, and more.

Download Your Copy

Are Apache Iceberg Tables Right For Your Data Lake? 6 Reasons Why.

5 ETL Best Practices You Shouldn’t Ignore

Data Warehouse Vs Data Lake Vs Data Lakehouse: Key Differences

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

What is a Data Platform? And How to Build An Awesome One

Generative AI

The Moat for Enterprise AI is RAG + Fine Tuning – Here’s Why

Billy Beane, Generative AI, and Data Observability: 5 Reasons Why I’m Excited About IMPACT 2023 – And You Should Be, Too

Google DeepMind’s Eli Collins to Headline IMPACT: The Data Observability Summit on November 8

5 Generative AI Use Cases Companies Can Implement Today

What’s Next for the Modern Data and AI Stack? 5 Predictions from Databricks’ SVP of Products, Adam Conway

Organizing Generative AI Teams: 5 Lessons Learned From Data Science

Data Culture

Announcing Monte Carlo’s 2023 Reliability Pioneers

The Ultimate Guide to Data Product Management

Learn how to build, manage, and scale reliable data products in our latest how-to guide, written by and for data product managers.

Download

You’re (Finally) In The Cloud. Now, Stop Acting So On-Prem.

Data Quality Engineer: Skills, Salary, & Tools Required

Data Curation Explained: How To Make Data More Valuable

Data Governance Frameworks: 5 Lessons from McKinsey, Microsoft & More

How the Founder of Monte Carlo Measures Data Team Success—And You Can Too

Data Reliability

What Does Your Data Quality Really Need? Understanding the Data Quality Maturity Curve.

What are data clean rooms? The best place to share without really sharing

2023 Modern Data Leader's Playbook

Stay up-to-date with the latest technologies, trends, and processes shaping modern data management.

Access Today

How to Set Data Quality Standards for Your Company the Right Way

[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Exclusive Preview: O’Reilly Data Quality Fundamentals

The Ultimate Guide To Data Lineage

Data Discovery

Data Discovery Tools (Quick Reference Guide)

Stop Treating Your Data Engineer Like A Data Catalog

What in the World is Going on with Data Catalogs?

5 Reasons Data Discovery Platforms Are Best For Data Lakes

Metadata is Useless — Unless You Have a Use Case

Data Catalogs Are Dead; Long Live Data Discovery

Case Studies

How Abacus Medicine Built a Modern Data and AI Stack with Databricks and Monte Carlo

How Much Does Bad Data Cost You?

Do you know the cost of data downtime? This guide will help you calculate the cost of bad data for your company.

Download

Enabling a Self-Serve Data Culture at Whatnot with Data Observability

How Tenable Executes DataOps with Monte Carlo and Snowflake

How TOCA Football Achieved Their Data Quality GOOOOOOAL!

How Kargo Prevents Six-Figure Data Quality Issues With Monte Carlo

Mastering Data Quality: 5 Lessons from Data Leaders at Nasdaq and Babylist

Announcements

Monte Carlo Announces Support for Kafka and Vector Databases at IMPACT 2023

Announcing Monte Carlo’s 2023 Reliability Pioneers

Billy Beane, Generative AI, and Data Observability: 5 Reasons Why I’m Excited About IMPACT 2023 – And You Should Be, Too

Easily Integrate Monte Carlo with Databricks via Partner Connect

Monte Carlo Expands Deployment Options To Enable Multi-Cloud Hosting

Google DeepMind’s Eli Collins to Headline IMPACT: The Data Observability Summit on November 8

Video resources

Data Mesh 101: How Not to Mesh It Up

What is Data Observability – and Do You Need It?

The Top 6 Data Trends in 2023

2023: The state of data quality

Did you know that bad data impacts 31% of a company’s revenue? And that 74% of data engineers say data quality issues are surfaced first by stakeholders? These stats and more in our recent survey with Wakefield Research.

Learn more

3 simple steps for Snowflake cost optimization without getting too crazy.

Snowflake cost optimization efforts need to be right sized. Learn how to get the most savings with investing too much of your team’s time.

Learn more

Data testing vs. data quality monitoring vs. data observability: What's right for your team?

In the fight against bad data and broken pipelines, there are a few popular options. But what makes the most sense for your data quality needs? We’ve got the answers.

Learn more

The Data Downtime Blog

Most recent

How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack

Improve Data Consistency With Monte Carlo’s Cross-Database Rules

Data Observability: Reliability In The AI Era

Featured

Billy Beane, Generative AI, and Data Observability: 5 Reasons Why I’m Excited About IMPACT 2023 – And You Should Be, Too

Easily Integrate Monte Carlo with Databricks via Partner Connect

Monte Carlo Expands Deployment Options To Enable Multi-Cloud Hosting

Editors picks

What is a Data Mesh — and How Not to Mesh it Up

The Ultimate Guide To Data Lineage

What is Data Observability? 5 Key Pillars To Know

Data Observability

17 Valuable Use Cases for Automated Data Lineage

What Does Your Data Quality Really Need? Understanding the Data Quality Maturity Curve.

Monte Carlo Announces Support for Kafka and Vector Databases at IMPACT 2023

Billy Beane, Generative AI, and Data Observability: 5 Reasons Why I’m Excited About IMPACT 2023 – And You Should Be, Too

Is Open Source Data Observability the Answer to Your Data Quality Woes?

What are data clean rooms? The best place to share without really sharing

How to Set Data Quality Standards for Your Company the Right Way

Data Platforms

Mastering Data Migrations: A Comprehensive Guide

Data Orchestration Tools (Quick Reference Guide)

Cheat Sheet: A Data Leader's Guide to Data Metrics

Are Apache Iceberg Tables Right For Your Data Lake? 6 Reasons Why.

5 ETL Best Practices You Shouldn’t Ignore

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

What is a Data Platform? And How to Build An Awesome One

Generative AI

The Moat for Enterprise AI is RAG + Fine Tuning – Here’s Why

Billy Beane, Generative AI, and Data Observability: 5 Reasons Why I’m Excited About IMPACT 2023 – And You Should Be, Too

Google DeepMind’s Eli Collins to Headline IMPACT: The Data Observability Summit on November 8

5 Generative AI Use Cases Companies Can Implement Today

What’s Next for the Modern Data and AI Stack? 5 Predictions from Databricks’ SVP of Products, Adam Conway

Organizing Generative AI Teams: 5 Lessons Learned From Data Science

Data Culture

Announcing Monte Carlo’s 2023 Reliability Pioneers

The Ultimate Guide to Data Product Management

You’re (Finally) In The Cloud. Now, Stop Acting So On-Prem.

Data Quality Engineer: Skills, Salary, & Tools Required

Data Curation Explained: How To Make Data More Valuable

Data Governance Frameworks: 5 Lessons from McKinsey, Microsoft & More

How the Founder of Monte Carlo Measures Data Team Success—And You Can Too

Data Reliability

What Does Your Data Quality Really Need? Understanding the Data Quality Maturity Curve.

What are data clean rooms? The best place to share without really sharing

2023 Modern Data Leader's Playbook

How to Set Data Quality Standards for Your Company the Right Way

[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Exclusive Preview: O’Reilly Data Quality Fundamentals

The Ultimate Guide To Data Lineage

Data Discovery

Data Discovery Tools (Quick Reference Guide)

Stop Treating Your Data Engineer Like A Data Catalog

What in the World is Going on with Data Catalogs?

5 Reasons Data Discovery Platforms Are Best For Data Lakes

Metadata is Useless — Unless You Have a Use Case

Data Catalogs Are Dead; Long Live Data Discovery

Case Studies

How Abacus Medicine Built a Modern Data and AI Stack with Databricks and Monte Carlo

How Much Does Bad Data Cost You?

Enabling a Self-Serve Data Culture at Whatnot with Data Observability

How Tenable Executes DataOps with Monte Carlo and Snowflake

How TOCA Football Achieved Their Data Quality GOOOOOOAL!

How Kargo Prevents Six-Figure Data Quality Issues With Monte Carlo

Mastering Data Quality: 5 Lessons from Data Leaders at Nasdaq and Babylist

Announcements

Monte Carlo Announces Support for Kafka and Vector Databases at IMPACT 2023

Announcing Monte Carlo’s 2023 Reliability Pioneers

Billy Beane, Generative AI, and Data Observability: 5 Reasons Why I’m Excited About IMPACT 2023 – And You Should Be, Too

Easily Integrate Monte Carlo with Databricks via Partner Connect

Monte Carlo Expands Deployment Options To Enable Multi-Cloud Hosting

Google DeepMind’s Eli Collins to Headline IMPACT: The Data Observability Summit on November 8

Video resources

Data Mesh 101: How Not to Mesh It Up

What is Data Observability – and Do You Need It?

The Top 6 Data Trends in 2023

Related resources

2023: The state of data quality