The Data Downtime Blog

The latest trends and news in data observability.

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Tales from the Pipeline: 4 Data Horror Stories To Keep You Up at Night

Tales from the Pipeline: 4 Data Horror Stories To Keep You Up at Night

“As he lay awake in his Bay Area apartment, the data leader couldn’t shake the feeling that something wasn’t right. He tried to shut his eyes—to force them closed—but the more the data engineer tried, the more convinced he became.  Suddenly, a light appeared from the darkness.  It was a Slack from the CEO.  She […]

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How Roche Built Trust in the Data Mesh with Data Observability

How Roche Built Trust in the Data Mesh with Data Observability

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Measuring Data Quality at the Use Case Level

Measuring Data Quality at the Use Case Level

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Featured

Interpreting the Gartner Data Observability Market GuideInterpreting the Gartner Data Observability Market Guide

Interpreting the Gartner Data Observability Market Guide

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Mission Lane: Continuous Compliance MonitoringMission Lane: Continuous Compliance Monitoring

Mission Lane: Continuous Compliance Monitoring

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Snowflake Summit 2024 Keynote Recap: The Era of Enterprise AISnowflake Summit 2024 Keynote Recap: The Era of Enterprise AI

Snowflake Summit 2024 Keynote Recap: The Era of Enterprise AI

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Editors picks

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

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

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Ultimate Guide to Data LineageUltimate Guide to Data Lineage

The Ultimate Guide To Data Lineage

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the five pillars of data observability

What is Data Observability? 5 Key Pillars To Know

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Data Observability

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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.

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Monte Carlo Launches Observability for Azure Data Factory, Informatica, and Databricks WorkflowsMonte Carlo Launches Observability for Azure Data Factory, Informatica, and Databricks Workflows

Monte Carlo Launches Observability for Azure Data Factory, Informatica, and Databricks Workflows

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A 5-Step Incident Management Framework for Enterprise Data OrganizationsA 5-Step Incident Management Framework for Enterprise Data Organizations

A 5-Step Incident Management Framework for Enterprise Data Organizations

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The Role of an AI Data Quality AnalystThe Role of an AI Data Quality Analyst

The Role of an AI Data Quality Analyst

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How to Make Data Quality (A Little) Less Painful for AnalystsHow to Make Data Quality (A Little) Less Painful for Analysts

How to Make Data Quality (A Little) Less Painful for Analysts

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How a Fortune 500 CPG Leader Takes a Proactive Approach to Data QualityHow a Fortune 500 CPG Leader Takes a Proactive Approach to Data Quality

How a Fortune 500 CPG Leader Takes a Proactive Approach to Data Quality

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Monte Carlo Recognized as the #1 Data Observability Platform by G2 for 6th Consecutive QuarterMonte Carlo Recognized as the #1 Data Observability Platform by G2 for 6th Consecutive Quarter

Monte Carlo Recognized as the #1 Data Observability Platform by G2 for 6th Consecutive Quarter

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Data Platforms

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4 Native Snowflake Data Quality Checks & Features You Should Know4 Native Snowflake Data Quality Checks & Features You Should Know

4 Native Snowflake Data Quality Checks & Features You Should Know

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Top Enterprise Data Catalog ToolsTop Enterprise Data Catalog Tools

Top Enterprise Data Catalog Tools

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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.

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

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

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Just Launched: AI Monitor Recommendations for Proactive Data Quality ManagementJust Launched: AI Monitor Recommendations for Proactive Data Quality Management

Just Launched: AI Monitor Recommendations for Proactive Data Quality Management

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How to Treat Your Data As a ProductHow to Treat Your Data As a Product

How to Treat Your Data As a Product

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Is the modern data warehouse broken?Is the modern data warehouse broken?

Is Modern Data Warehouse Architecture Broken? 

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Generative AI

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3 Tips for Achieving AI-Ready Data at Scale from a Fortune 500 Data Leader3 Tips for Achieving AI-Ready Data at Scale from a Fortune 500 Data Leader

3 Tips for Achieving AI-Ready Data at Scale from a Fortune 500 Data Leader

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How WHOOP Built and Launched a Reliable GenAI ChatbotHow WHOOP Built and Launched a Reliable GenAI Chatbot

How WHOOP Built and Launched a Reliable GenAI Chatbot

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RAG vs Fine Tuning: How to Choose the Right MethodRAG vs Fine Tuning: How to Choose the Right Method

RAG vs Fine Tuning: How to Choose the Right Method

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Generative AI Use Case: Using LLMs to Score Customer ConversationsGenerative AI Use Case: Using LLMs to Score Customer Conversations

Generative AI Use Case: Using LLMs to Score Customer Conversations

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2024 State of Reliable AI Survey2024 State of Reliable AI Survey

2024 State of Reliable AI Survey

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

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

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Data Culture

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Monte Carlo Named to America’s Most Loved Workplaces List 2024Monte Carlo Named to America’s Most Loved Workplaces List 2024

Monte Carlo Named to America’s Most Loved Workplaces List 2024

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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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5 Data Lake Examples That Prove They’re Not Just a Buzzword5 Data Lake Examples That Prove They’re Not Just a Buzzword

5 Data Lake Examples That Prove They’re Not Just a Buzzword

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The Big Data London Guide: 2024 EditionThe Big Data London Guide: 2024 Edition

The Big Data London Guide: 2024 Edition

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

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

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2024 State of Reliable AI Survey2024 State of Reliable AI Survey

2024 State of Reliable AI Survey

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

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

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Data Reliability

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Data Stewards vs Data Analysts: Who’s Doing What With Your Data?Data Stewards vs Data Analysts: Who’s Doing What With Your Data?

Data Stewards vs Data Analysts: Who’s Doing What With Your Data?

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Data Owner Responsibilities: Balancing Security, Access, and SanityData Owner Responsibilities: Balancing Security, Access, and Sanity

Data Owner Responsibilities: Balancing Security, Access, and Sanity

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2023 Modern Data Leader's Playbook

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

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The High Cost of Poor Data Warehouse GovernanceThe High Cost of Poor Data Warehouse Governance

The High Cost of Poor Data Warehouse Governance

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The (Ongoing) Evolution of Table FormatsThe (Ongoing) Evolution of Table Formats

The (Ongoing) Evolution of Table Formats

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The “Who Does What” Guide To Enterprise Data QualityThe “Who Does What” Guide To Enterprise Data Quality

The “Who Does What” Guide To Enterprise Data Quality

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Is Your Data a Mess? 3 Data Hygiene Best Practices to Clean It UpIs Your Data a Mess? 3 Data Hygiene Best Practices to Clean It Up

Is Your Data a Mess? 3 Data Hygiene Best Practices to Clean It Up

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Data Discovery

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Data Traceability 101: Benefits, Challenges, and ImplementationData Traceability 101: Benefits, Challenges, and Implementation

Data Traceability 101: Benefits, Challenges, and Implementation

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Implementing Data Lineage in Python: Manual Techniques & 3 Automated ToolsImplementing Data Lineage in Python: Manual Techniques & 3 Automated Tools

Implementing Data Lineage in Python: Manual Techniques & 3 Automated Tools

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

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

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Data Catalog vs. Data Dictionary: 3 Essential DifferencesData Catalog vs. Data Dictionary: 3 Essential Differences

Data Catalog vs. Data Dictionary: 3 Essential Differences

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

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

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6 Tips For Better SQL Query Optimization6 Tips For Better SQL Query Optimization

6 Tips For Better SQL Query Optimization

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Case Studies

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On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte CarloOn-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo

On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo

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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.

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How WHOOP Built and Launched a Reliable GenAI ChatbotHow WHOOP Built and Launched a Reliable GenAI Chatbot

How WHOOP Built and Launched a Reliable GenAI Chatbot

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How a Fortune 500 CPG Leader Takes a Proactive Approach to Data QualityHow a Fortune 500 CPG Leader Takes a Proactive Approach to Data Quality

How a Fortune 500 CPG Leader Takes a Proactive Approach to Data Quality

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How Accolade Builds Trust in Data Decisions by Leveraging a Data Observability FrameworkHow Accolade Builds Trust in Data Decisions by Leveraging a Data Observability Framework

How Accolade Builds Trust in Data Decisions by Leveraging a Data Observability Framework

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Generative AI Use Case: Using LLMs to Score Customer ConversationsGenerative AI Use Case: Using LLMs to Score Customer Conversations

Generative AI Use Case: Using LLMs to Score Customer Conversations

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

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

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Announcements

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Monte Carlo Launches Observability for Azure Data Factory, Informatica, and Databricks WorkflowsMonte Carlo Launches Observability for Azure Data Factory, Informatica, and Databricks Workflows

Monte Carlo Launches Observability for Azure Data Factory, Informatica, and Databricks Workflows

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Monte Carlo First To Detect Breaking Code Changes With New Databricks, GitLab IntegrationsMonte Carlo First To Detect Breaking Code Changes With New Databricks, GitLab Integrations

Monte Carlo First To Detect Breaking Code Changes With New Databricks, GitLab Integrations

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Monte Carlo Named to America’s Most Loved Workplaces List 2024Monte Carlo Named to America’s Most Loved Workplaces List 2024

Monte Carlo Named to America’s Most Loved Workplaces List 2024

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Monte Carlo Recognized as the #1 Data Observability Platform by G2 for 6th Consecutive QuarterMonte Carlo Recognized as the #1 Data Observability Platform by G2 for 6th Consecutive Quarter

Monte Carlo Recognized as the #1 Data Observability Platform by G2 for 6th Consecutive Quarter

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Monte Carlo Appoints Former Stack Overflow Exec Tim Miller as Chief Revenue OfficerMonte Carlo Appoints Former Stack Overflow Exec Tim Miller as Chief Revenue Officer

Monte Carlo Appoints Former Stack Overflow Exec Tim Miller as Chief Revenue Officer

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Just Launched: Data Operations Dashboard Advances Data Quality Initiatives at ScaleJust Launched: Data Operations Dashboard Advances Data Quality Initiatives at Scale

Just Launched: Data Operations Dashboard Advances Data Quality Initiatives at Scale

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Video resources

Data Mesh 101: How Not to Mesh It UpData Mesh 101: How Not to Mesh It Up

Data Mesh 101: How Not to Mesh It Up

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What is Data Observability – and Do You Need It?What is Data Observability – and Do You Need It?

What is Data Observability – and Do You Need It?

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The Top 6 Data Trends in 2023The Top 6 Data Trends in 2023

The Top 6 Data Trends in 2023

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Related resources

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.

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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.

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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.

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