The Data Downtime Blog

The latest trends and news in data observability.

Most recent

All About ETL Testing: Checklist, Tools, and 4 Useful SQL Queries

ETL testing ensures data is not only accurately loaded, but also meets the high standards your business needs to make sound decisions.

Table-Level vs. Field-Level Data Lineage: What’s the Difference?

6 Tips For Better SQL Query Optimization

Monte Carlo Releases Mastering Data Quality And Your ABCs, World’s First-Ever Children’s Book on Data Quality

Reflections on Strong Momentum and Category Leadership in Data Observability

Monte Carlo Brings Data Observability to Microsoft Azure Synapse and Microsoft Fabric

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

The Ultimate Guide To Enterprise 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

Measuring Data Quality: Key Metrics, Processes, and Best Practices

Data Observability: So Hot Right Now

7 Essential Data Cleaning Best Practices

Monte Carlo Recognized as the #1 Data Observability Platform by G2 for Fourth Consecutive Quarter

Top Data Quality Alert Strategies From 3 Real Data Teams

Data Platforms

Open Source Business Intelligence Tools

3 Simple Steps For Snowflake Cost Optimization Without Getting Too Crazy

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

Data Orchestration 101: Process, Benefits, Challenges, and Tools

How to Treat Your Data As a Product

How To Implement Data Mesh: Top Tips From 4 Data Leaders

Top Enterprise Data Catalog Tools

Generative AI

Is Prompt Engineering Overhyped? No—But Learn These 3 GenAI Skills Too

5 Skills Data Engineers Should Master to Keep Pace with GenAI

4 GenAI Opportunities from Real Data Teams

Will GenAI Replace Data Engineers? No — And Here’s Why.

How High-Quality Data in Generative AI Models Drives Customer Service Results, With Nga Phan of Salesforce AI

5 Hard Truths About Generative AI for Technology Leaders

Data Culture

Don’t Do Your POC In A Sandbox. Here’s Why.

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

What Is A DataOps Engineer? Skills, Salary, & How to Become One

When a Data Mesh Doesn’t Make Sense for Your Organization

Will GenAI Replace Data Engineers? No — And Here’s Why.

ETL vs ELT: What’s the Difference (and Which is Better)?

Data Reliability

Data Quality Testing: 7 Essential Tests

2023 Modern Data Leader's Playbook

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

Access Today

Is Prompt Engineering Overhyped? No—But Learn These 3 GenAI Skills Too

The Ultimate Guide To Enterprise Data Lineage

How to Treat Your Data As a Product

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

Scaling Data Quality for Innovation and Growth: Aircall’s Data Observability Journey

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

How JetBlue Used Data Observability To Help Improve Internal “Data NPS” By 16 Points Year Over Year

How Seasoned Optimized the Data Incident Management Process to Improve Data Quality at Scale

Credit Karma’s Journey to Reliable Generative AI Models with Data Observability

How Sub-Zero Group Put Data Quality Issues On Ice

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

Announcements

Monte Carlo Releases Mastering Data Quality And Your ABCs, World’s First-Ever Children’s Book on Data Quality

Monte Carlo Recognized as the #1 Data Observability Platform by G2 for Fourth Consecutive Quarter

Reflections on Strong Momentum and Category Leadership in Data Observability

Monte Carlo Brings Data Observability to Microsoft Azure Synapse and Microsoft Fabric

Now Featuring: Orchestration Lineage

Video resources

Data Mesh 101: How Not to Mesh It Up

What is Data Observability – and Do You Need It?

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

All About ETL Testing: Checklist, Tools, and 4 Useful SQL Queries

Table-Level vs. Field-Level Data Lineage: What’s the Difference?

6 Tips For Better SQL Query Optimization

Featured

Monte Carlo Releases Mastering Data Quality And Your ABCs, World’s First-Ever Children’s Book on Data Quality

Reflections on Strong Momentum and Category Leadership in Data Observability

Monte Carlo Brings Data Observability to Microsoft Azure Synapse and Microsoft Fabric

Editors picks

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

The Ultimate Guide To Enterprise Data Lineage

What is Data Observability? 5 Key Pillars To Know

Data Observability

17 Valuable Use Cases for Automated Data Lineage

Measuring Data Quality: Key Metrics, Processes, and Best Practices

The Cost of Bad Data

Data Observability: So Hot Right Now

7 Essential Data Cleaning Best Practices

Monte Carlo Recognized as the #1 Data Observability Platform by G2 for Fourth Consecutive Quarter

Top Data Quality Alert Strategies From 3 Real Data Teams

Data Platforms

Open Source Business Intelligence Tools

3 Simple Steps For Snowflake Cost Optimization Without Getting Too Crazy

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

Data Orchestration 101: Process, Benefits, Challenges, and Tools

How to Treat Your Data As a Product

How To Implement Data Mesh: Top Tips From 4 Data Leaders

Top Enterprise Data Catalog Tools

Generative AI

Is Prompt Engineering Overhyped? No—But Learn These 3 GenAI Skills Too

5 Skills Data Engineers Should Master to Keep Pace with GenAI

4 GenAI Opportunities from Real Data Teams

Will GenAI Replace Data Engineers? No — And Here’s Why.

How High-Quality Data in Generative AI Models Drives Customer Service Results, With Nga Phan of Salesforce AI

5 Hard Truths About Generative AI for Technology Leaders

Data Culture

Don’t Do Your POC In A Sandbox. Here’s Why.

The Ultimate Guide to Data Product Management

What Is A DataOps Engineer? Skills, Salary, & How to Become One

When a Data Mesh Doesn’t Make Sense for Your Organization

Will GenAI Replace Data Engineers? No — And Here’s Why.

What is Data Downtime?

ETL vs ELT: What’s the Difference (and Which is Better)?

Data Reliability

The Cost of Bad Data

Data Quality Testing: 7 Essential Tests

2023 Modern Data Leader's Playbook

DataOps vs DevOps Explained

Is Prompt Engineering Overhyped? No—But Learn These 3 GenAI Skills Too

The Ultimate Guide To Enterprise Data Lineage

How to Treat Your Data As a Product

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

Scaling Data Quality for Innovation and Growth: Aircall’s Data Observability Journey

How Much Does Bad Data Cost You?

How JetBlue Used Data Observability To Help Improve Internal “Data NPS” By 16 Points Year Over Year

How Seasoned Optimized the Data Incident Management Process to Improve Data Quality at Scale

Credit Karma’s Journey to Reliable Generative AI Models with Data Observability

How Sub-Zero Group Put Data Quality Issues On Ice

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

Announcements

Monte Carlo Releases Mastering Data Quality And Your ABCs, World’s First-Ever Children’s Book on Data Quality

Monte Carlo Recognized as the #1 Data Observability Platform by G2 for Fourth Consecutive Quarter

Reflections on Strong Momentum and Category Leadership in Data Observability

Monte Carlo Brings Data Observability to Microsoft Azure Synapse and Microsoft Fabric

Now Featuring: Kafka Lineage

Now Featuring: Orchestration Lineage

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