Data Observability
Data Quality
Data Culture
Announcements
Changelog
Case Studies

Data Quality

Data quality refers to the accuracy, completeness, consistency, and freshness of data. Dive into articles about the importance of maintaining high-quality data, common challenges, and methods to improve and measure data quality.
Thank you! You have been subscribed.
Error: something went wrong.

Top Data Quality Articles

Data Quality
The Definitive Guide to Snowflake Data Lineage
Learn how to extract and use data lineage in Snowflake to optimize your data pipelines and improve data engineering workflows.
May 15, 2023
·
15
min read
Data Quality
Data lineage: What is it and how to implement it
Data lineage is like a family tree for your data—showing you where it comes from, and how it's related to the rest of the data around it. Learn why data lineage is important and tips to implement it.
October 25, 2024
·
6
min read
Data Quality
A 6-Step Process for Managing Data Quality Incidents
Streamline data issue management with a six-step process inspired by site reliability engineering to handle data incidents effectively.
September 30, 2022
·
9
min read

Most Recent Articles

Data Quality
A guide to dbt test types
Understanding the different types of dbt tests can be confusing. We break it all down in this post, telling you the different types of dbt tests, what they do, and when/how to use them.
December 20, 2024
·
7
min read
Data Quality
How to manage database schema changes
Making database schema changes comes with an array of risks—both upstream and downstream. Learn how to mitigate those risks and make your schema changes run smoothly.
November 14, 2024
·
10
min read
Data Quality
How to automate your data quality checks
Get the rundown on automated data quality checks—including what they are, what to monitor, and how to set them up.
November 4, 2024
·
8
min read
Data Quality
Data lineage: What is it and how to implement it
Data lineage is like a family tree for your data—showing you where it comes from, and how it's related to the rest of the data around it. Learn why data lineage is important and tips to implement it.
October 25, 2024
·
6
min read
Data Quality
How Snowflake enabled data observability
Learn how Snowflake provided the technical foundation to turn scalable data observability from a dream into a reality.
August 22, 2024
·
6
min read
Data Quality
How to manage tags for objects in Snowflake
Tags in Snowflake are your first step to sound governance. Learn how to use them effectively in your data management strategy.
March 7, 2024
·
6
min read
Data Quality
Three ways to track schema drift in Snowflake
Schema drift threatens data accuracy. Learn three ways to track and address schema drift issues in Snowflake effectively.
February 6, 2024
·
6
min read
Data Quality
Machine Learning should be data-centric, not model-centric. Here’s why.
Until recently, ML model creation focused more on the architecture of the model itself, rather than the data feeding it. Here's why that's a problem.
January 12, 2024
·
7
min read
Data Quality
How to maintain data integrity
Best practices for maintaining a few aspects of data integrity.
December 4, 2023
·
6
min read
Data Quality
Data Quality Considerations for Data Stack Additions
Learn about common data quality mishaps when implementing new tools for your data stack.
August 17, 2023
·
6
min read
Data Quality
What is Data Relevance? Definition, Examples, and Best Practices
Learn more about data relevance and how it can improve your data quality.
May 29, 2023
·
5
min read
Data Quality
What is Data Security? Definition, Examples, and Best Practices
Learn more about how data security plays a role in your data quality practices.
May 29, 2023
·
5
min read
Data Quality
What is Data Reliability? Definition, Examples, and Best Practices
Learn more about how data reliability plays a role in your data quality practices.
May 29, 2023
·
5
min read
Data Quality
What is Data Usability? Definition, Examples, and Best Practices
Learn what data usability is and what role it has to play in improving data quality across your data stack.
May 29, 2023
·
5
min read
Data Quality
What is Data Validity? Definition, Examples, and Best Practices
Learn more about how valid data can play a part in your data quality strategy.
May 29, 2023
·
5
min read
Data Quality
What is Data Completeness? Definition, Examples, and Best Practices
Data completeness is one of the ten dimensions of data quality. In this post, you'll learn what it means, why it matters, and how it's measured.
May 28, 2023
·
2
min read
Data Quality
What Is Data Accuracy? Definition, Examples, and Best Practices
Data accuracy is one of the ten dimensions of data quality. In this post, you'll learn what it means, why it matters, and how it's measured.
May 28, 2023
·
3
min read
Data Quality
What is Data Freshness? Definition, Examples, and Best Practices
Data freshness is one of the ten dimensions of data quality. In this post, you'll learn what it means, why it matters, and how it's measured.
May 28, 2023
·
3
min read
Data Quality
What is Data Consistency? Definition, Examples, and Best Practices
Data consistency is one of the ten dimensions of data quality. In this post, you'll learn what it means, why it matters, and how it's measured.
May 26, 2023
·
2
min read
Data Quality
A Framework to Understand How Poor Data Quality Hurts Business Performance
Poor data quality creates extra work and frustrates stakeholders. At worst, it costs time, revenue, and damages customer sentiment.
May 25, 2023
·
6
min read
Data Quality
Data Monitoring v Data Observability
Learn more about how data quality tests, data monitoring, and data observability differ, while still improving data quality in their own ways.
May 25, 2023
·
5
min read
Data Quality
Concepts and Practices to Ensure Data Quality
Address data quality issues with guidelines, concepts, and practices to preserve trust and turn data into your greatest asset.
May 24, 2023
·
10
min read
Data Quality
Best Data Catalogs: An Evaluation Guide
Data catalogs improve quality and streamline teamwork. Learn key considerations if you’re evaluating options for your organization.
May 24, 2023
·
5
min read
Data Quality
Benefits of Data Lineage for Better Data Quality
Learn how you can use data lineage, provided by data observability tools, to improve data quality across your modern data stack.
May 24, 2023
·
5
min read
Data Quality
Data Quality Metrics for Data Warehouses (or: KPIs for KPIs)
A framework of data quality metrics, a shortlist of metrics, and a process for identifying which metrics your team should use.
May 22, 2023
·
15
min read
Data Quality
How to Use Machine Learning for Robust Data Quality Checks
Machine learning enhances data checks. See how it empowers engineers to make accurate, reliable decisions with confidence.
May 16, 2023
·
6
min read
Data Quality
The Definitive Guide to Snowflake Data Lineage
Learn how to extract and use data lineage in Snowflake to optimize your data pipelines and improve data engineering workflows.
May 15, 2023
·
15
min read
Data Quality
Stay Fresh: Two Ways to Track Update Times for Snowflake Tables and Views
Discover how to ensure your data is fresh and up-to-date in Snowflake with two essential tools: the MAX function and the LAST_ALTERED column.
May 14, 2023
·
3
min read
Data Quality
Stay Fresh: Four Ways to Track Update Times for BigQuery Tables and Views
Keep insights fresh and decisions data-driven with our guide to monitoring table and view updates for data freshness in BigQuery.
May 14, 2023
·
4
min read
Data Quality
Three Ways to Retrieve Row Counts in Redshift Tables and Views
Optimize Redshift with accurate row counts using COUNT functions and system stats for smarter data management and insights.
May 12, 2023
·
5
min read
Data Quality
Three Ways to Retrieve Row Counts for Snowflake Tables and Views
Discover methods to obtain row counts in Snowflake, from SQL queries to leveraging table stats for performance optimization.
May 12, 2023
·
4
min read
Data Quality
Four Efficient Techniques to Retrieve Row Counts in BigQuery Tables and Views
Learn how to retrieve row counts in Google BigQuery. Explore practical methods, trade-offs, and code snippets in our guide.
May 12, 2023
·
4
min read
Data Quality
How to Set Up Data Quality Tests
Unit testing isn’t enough. Follow our best practices to build robust data quality standards for modern analytics and engineering teams.
May 10, 2023
·
4
min read
Data Quality
The Root Causes of Data Quality Issues
Learn about five data quality challenges from errors to assumptions and strategies to ensure reliable, trusted organizational data.
May 3, 2023
·
7
min read
Data Quality
Data Quality Fundamentals: What It Is, Why It Matters, and How You Can Improve It 
Data quality is essential for success. Learn its importance, challenges, and practices to maintain high standards in your organization.
October 5, 2022
·
7
min read
Data Quality
A 6-Step Process for Managing Data Quality Incidents
Streamline data issue management with a six-step process inspired by site reliability engineering to handle data incidents effectively.
September 30, 2022
·
9
min read
Data Quality
The Importance of Data Quality for PLG Companies
Data is central to product-led growth. Learn how poor data quality impacts revenue, team efficiency, and strategic forecasting.
August 10, 2022
·
7
min read
Data Quality
5 Common Data Quality Challenges (and How to Solve Them)
Human and machine errors create data quality challenges. Discover the top five problems data teams face and strategies to address them.
May 25, 2022
·
5
min read
Data Quality
Data Quality Begins and Ends Outside of the Analytics Team
Conversations around data quality focus on pipeline tests and anomaly detection. Explore approaches to upstream and downstream quality.
March 22, 2022
·
5
min read
Ensure trust in data

Start monitoring your data in minutes.

Connect your warehouse and start generating a baseline in less than 10 minutes. Start for free, no credit-card required.
Get started for free
Book a demo