The Data Downtime Blog

The latest trends and news in data observability.

Most recent

How to Treat Your Data As a Product

Your company wants to “treat data like a product.” Great! What does that mean?

Becoming a Data Owner: Roles, Responsibilities, and 4 Best Practices

Data Versioning: A Comprehensive Guide for Modern Data Teams

Mission Lane: Continuous Compliance Monitoring

Snowflake Summit 2024 Keynote Recap: The Era of Enterprise AI

The Ultimate Guide to Snowflake Data Cloud Summit 2024

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

Image courtesy of Braden Collum on Unsplash, race track.

Most Data Quality Initiatives Fail Before They Start. Here’s Why.

What is Data Timeliness? It’s the Boost Your Business Needs

Generative AI Use Case: Using LLMs to Score Customer Conversations

Just Launched: (No Code) Validation Monitors

Supporting Global Expansion and Critical Data Products: How PrimaryBid Ensures Data Reliability at Scale

The Ultimate Guide To Data Lineage

Data Platforms

Is Modern Data Warehouse Architecture Broken?

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

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

Databricks Data + AI Summit 2024 Keynote Recap: The 5 Biggest Announcements

Monte Carlo Now Available on Snowflake Marketplace to Help Organizations Achieve Trusted Data for AI

What’s a Data Infrastructure Engineer? Skills, Role, Future & Salary

How to Maintain Referential Data Integrity

Generative AI

Generative AI Use Case: Using LLMs to Score Customer Conversations

2024 State of Reliable AI Survey

RAG vs Fine Tuning: How to Choose the Right Method

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

Data Culture

Databricks Data + AI Summit 2024 Keynote Recap: The 5 Biggest Announcements

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.

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2024 State of Reliable AI Survey

What’s a Data Infrastructure Engineer? Skills, Role, Future & Salary

5 Ways AI and Data Science Are Being Transformed (Don’t Get Left Behind)

The Ultimate Guide to Snowflake Data Cloud Summit 2024

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

Data Reliability

Is Modern Data Warehouse Architecture Broken?

Delivering Reliable Data and AI Pipelines with Monte Carlo and MotherDuck

2023 Modern Data Leader's Playbook

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

Access Today

The Ultimate Guide To Data Lineage

2024 State of Reliable AI Survey

How to Maintain Referential Data Integrity

How to Design a Modern, Robust Data Ingestion Architecture

Data Discovery

Data Catalog vs. Data Dictionary: 3 Essential Differences

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

Data Discovery Tools (Quick Reference Guide)

Stop Treating Your Data Engineer Like A Data Catalog

Case Studies

Supporting Global Expansion and Critical Data Products: How PrimaryBid Ensures Data Reliability at Scale

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

Mission Lane: Continuous Compliance Monitoring

Eureciclo Improves Data Governance And Reliability With Unity Catalog and Monte Carlo

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

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

Announcements

Just Launched: (No Code) Validation Monitors

Delivering Reliable Data and AI Pipelines with Monte Carlo and MotherDuck

Just Launched: AI Anomaly Detection For SQL Server

Monte Carlo Recognized as the #1 Data Observability Platform by G2 for Fifth Quarter in a Row

Snowflake Horizon and Data Observability: Better Together

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

How to Treat Your Data As a Product

Becoming a Data Owner: Roles, Responsibilities, and 4 Best Practices

Data Versioning: A Comprehensive Guide for Modern Data Teams

Featured

Mission Lane: Continuous Compliance Monitoring

Snowflake Summit 2024 Keynote Recap: The Era of Enterprise AI

The Ultimate Guide to Snowflake Data Cloud Summit 2024

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

Most Data Quality Initiatives Fail Before They Start. Here’s Why.

What is Data Timeliness? It’s the Boost Your Business Needs

Generative AI Use Case: Using LLMs to Score Customer Conversations

Just Launched: (No Code) Validation Monitors

Supporting Global Expansion and Critical Data Products: How PrimaryBid Ensures Data Reliability at Scale

The Ultimate Guide To Data Lineage

Data Platforms

Is Modern Data Warehouse Architecture Broken?

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

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

Databricks Data + AI Summit 2024 Keynote Recap: The 5 Biggest Announcements

Monte Carlo Now Available on Snowflake Marketplace to Help Organizations Achieve Trusted Data for AI

What’s a Data Infrastructure Engineer? Skills, Role, Future & Salary

How to Maintain Referential Data Integrity

Generative AI

Generative AI Use Case: Using LLMs to Score Customer Conversations

2024 State of Reliable AI Survey

RAG vs Fine Tuning: How to Choose the Right Method

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

Data Culture

Databricks Data + AI Summit 2024 Keynote Recap: The 5 Biggest Announcements

The Ultimate Guide to Data Product Management

2024 State of Reliable AI Survey

What’s a Data Infrastructure Engineer? Skills, Role, Future & Salary

5 Ways AI and Data Science Are Being Transformed (Don’t Get Left Behind)

The Ultimate Guide to Snowflake Data Cloud Summit 2024

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

Data Reliability

Is Modern Data Warehouse Architecture Broken?

Delivering Reliable Data and AI Pipelines with Monte Carlo and MotherDuck

2023 Modern Data Leader's Playbook

The Ultimate Guide To Data Lineage

2024 State of Reliable AI Survey

How to Maintain Referential Data Integrity

How to Design a Modern, Robust Data Ingestion Architecture

Data Discovery

Data Catalog vs. Data Dictionary: 3 Essential Differences

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

Data Discovery Tools (Quick Reference Guide)

Stop Treating Your Data Engineer Like A Data Catalog

Case Studies

Supporting Global Expansion and Critical Data Products: How PrimaryBid Ensures Data Reliability at Scale

How Much Does Bad Data Cost You?

Mission Lane: Continuous Compliance Monitoring

Eureciclo Improves Data Governance And Reliability With Unity Catalog and Monte Carlo

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

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

Announcements

Just Launched: (No Code) Validation Monitors

Delivering Reliable Data and AI Pipelines with Monte Carlo and MotherDuck

Just Launched: AI Anomaly Detection For SQL Server

Monte Carlo Recognized as the #1 Data Observability Platform by G2 for Fifth Quarter in a Row

Snowflake Horizon and Data Observability: Better Together

Just Launched: Data Products

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