| Building your first CI pipeline for your dbt project |
Elliot Gunn |
Feb 07, 2024 |
587 |
- |
| Accelerating dbt core CI/CD with GitHub actions: A step-by-step guide |
Kyle McNair |
May 08, 2023 |
1033 |
- |
| What is CI, and why should you care about it |
Gleb Mezhanskiy |
Aug 15, 2023 |
1715 |
- |
| Sunsetting open source data-diff |
Gleb Mezhanskiy |
May 17, 2024 |
402 |
- |
| Announcing Development Testing for dbt – Develop faster with higher confidence |
Gleb Mezhanskiy |
Apr 24, 2023 |
859 |
- |
| ETL pipeline testing: Validate, validate, validate |
Datafold Team |
Dec 11, 2023 |
134 |
- |
| The Modern Data Stack: Open-source edition |
Gleb Mezhanskiy |
Oct 04, 2024 |
1155 |
- |
| The Best Data Contract is the Pull Request |
Gleb Mezhanskiy |
Sep 07, 2022 |
771 |
- |
| SIs + Datafold: Better partners than competitors |
Gleb Mezhanskiy |
Aug 27, 2025 |
192 |
- |
| Taking your dbt CI pipeline to the next level |
Elliot Gunn |
Mar 22, 2024 |
406 |
- |
| Code review best practices for Analytics Engineers |
Kyle McNair |
Dec 16, 2022 |
496 |
- |
| Tips for getting the most out of your dbt Cloud setup |
Madison Schott |
Oct 10, 2023 |
944 |
- |
| Scaling data monitoring with ease: Updates to Datafold Monitors |
Kira Furuichi |
Dec 09, 2024 |
581 |
- |
| Practical guide: Replicating data from Postgres to Snowflake |
Datafold Team |
Jan 27, 2025 |
1188 |
- |
| 4 data migration trends in 2025: AI, data lakes, and more |
Gleb Mezhanskiy |
Mar 03, 2025 |
754 |
- |
| Unlocking data quality with automated regression testing |
Datafold Team |
Oct 10, 2023 |
809 |
- |
| Lakebridge alternatives: Why Datafold is the best choice |
Elliot Gunn |
Jun 18, 2025 |
453 |
- |
| Announcing Datafold's SOC2 Type II Report |
Gerard Toonstra |
May 02, 2022 |
427 |
- |
| Data Quality Meetup #8 |
Datafold Team |
Feb 09, 2023 |
187 |
- |
| Data reconciliation challenges and solutions |
Elliot Gunn |
Jul 24, 2024 |
237 |
- |
| 4 data quality best practices to help you get to data ROI faster |
Zoe Hawkins |
Jan 10, 2024 |
733 |
- |
| What is data diffing? |
Kira Furuichi |
Aug 14, 2023 |
974 |
- |
| Best practices for data diffing with a shift-left approach |
Insung Ko |
Oct 10, 2024 |
421 |
- |
| Announcing Bitbucket + Azure DevOps Integrations in Datafold |
Gleb Mezhanskiy |
Jan 16, 2024 |
373 |
- |
| Build trust in your data with data lineage |
Datafold Team |
Sep 25, 2023 |
649 |
- |
| Introducing No-Code CI |
Gleb Mezhanskiy, Kira Furuichi, Nick Carchedi |
Jun 17, 2024 |
738 |
- |
| Announcing support for Microsoft SQL Server in Datafold |
Kira Furuichi |
Feb 06, 2024 |
356 |
- |
| Building a Data Warehouse Migration Strategy for Seamless Cloud Transitions |
Datafold Team |
Jan 02, 2025 |
2762 |
- |
| Datafold is now available on Azure Marketplace |
Kira Furuichi |
Feb 02, 2024 |
169 |
- |
| The era of AI-driven data migrations is finally here |
Gleb Mezhanskiy |
Dec 17, 2024 |
306 |
- |
| Choosing Data Warehouse for Analytics |
Gleb Mezhanskiy |
Jun 26, 2023 |
1642 |
- |
| Data Quality Meetup #9: Running dbt at scale |
Datafold Team |
May 11, 2023 |
164 |
- |
| What is data replication? And how to make sure you're doing it right |
Kira Furuichi |
Sep 21, 2023 |
1348 |
- |
| Data migration challenges and how to overcome them |
Kira Furuichi |
Sep 20, 2023 |
1718 |
- |
| How we're evolving cross-database diffing in Datafold |
Gleb Mezhanskiy |
Mar 18, 2024 |
879 |
- |
| MySQL to Snowflake Migration: Challenges, Best Practices, and Practical Guide |
- |
Jan 08, 2025 |
974 |
- |
| Open source data-diff |
Gleb Mezhanskiy |
Jun 22, 2022 |
807 |
- |
| Automate dbt development testing in Snowflake with data-diff |
Daniel Lawin |
Mar 23, 2023 |
627 |
- |
| Datafold + dbt: Ship Better Data |
Gleb Mezhanskiy |
Mar 30, 2022 |
582 |
- |
| Understanding your Data: The People Behind it |
Emilie Schario |
Oct 07, 2022 |
1772 |
- |
| Understanding your Data: The Process that Makes it Work |
Emilie Schario |
Nov 11, 2022 |
647 |
- |
| How to diff your data during a data migration |
Leo Folsom, Kira Furuichi |
Feb 09, 2024 |
912 |
- |
| Looker vs Tableau: A battle of the ages |
Kira Furuichi |
Aug 24, 2023 |
1844 |
- |
| Crafting a data quality scorecard |
Datafold Team |
Jul 02, 2024 |
268 |
- |
| On making your OLAP database your source-of-truth |
Kira Furuichi |
Jan 15, 2025 |
1059 |
- |
| The Slicer vs. The Kraken: What we built to migrate a 300K-character stored procedure |
Gleb Mezhanskiy |
Jul 14, 2025 |
240 |
- |
| What is data reconciliation? Use cases, techniques, and challenges |
Elliot Gunn |
Jul 17, 2024 |
487 |
- |
| audit_helper vs data-diff for validating dbt model changes |
Leo Folsom |
Mar 29, 2023 |
530 |
- |
| Migrating data is easy, migrating code is hard. |
Gleb Mezhanskiy |
Feb 21, 2025 |
320 |
- |
| Announcing the Looker Integration for Datafold Cloud |
Gleb Mezhanskiy |
Aug 28, 2023 |
576 |
- |
| Evaluating dbt Cloud features vs dbt Core |
Kyle Mcnair |
Feb 21, 2023 |
1442 |
- |
| Three practices to migrate to dbt faster |
Gleb Mezhanskiy |
Nov 06, 2024 |
417 |
- |
| How to use dbt source freshness tests to detect stale data |
Madison Schott |
Apr 11, 2023 |
1511 |
- |
| How to Create dbt Freshness Alerts |
Kyle McNair |
Sep 27, 2022 |
920 |
- |
| Demystifying data quality management |
Datafold Team |
Dec 12, 2023 |
182 |
- |
| Replicating Postgres to BigQuery: A practical guide |
Datafold Team |
Feb 03, 2025 |
393 |
- |
| Data migrations reimagined: Introducing the AI-powered Datafold Migration Agent |
Gleb Mezhanskiy |
Oct 30, 2024 |
131 |
- |
| Data Migration Risks and How To Avoid Them |
Datafold Team |
Mar 03, 2025 |
1700 |
- |
| The Anatomy of a Data Migration |
Kira Furuichi |
Dec 24, 2024 |
1549 |
- |
| Data integrity vs. data quality |
Datafold |
May 24, 2024 |
1298 |
- |
| What could your smartest data engineer be doing instead of a 6-month data migration? |
Leo Folsom, Elliot Gunn |
Mar 26, 2025 |
210 |
- |
| Announcing the Dremio integration in Datafold |
Gleb Mezhanskiy |
Apr 19, 2024 |
837 |
- |
| Announcing support for MySQL in Datafold |
Kira Furuichi |
Feb 13, 2024 |
410 |
- |
| What we're looking forward to at Coalesce 2023 |
Leo Folsom, Sung Won Chung, Kira Furuichi |
Sep 27, 2023 |
1317 |
- |
| Simplify your SQL Server migration: Automate, validate, and modernize |
Datafold |
Dec 10, 2024 |
472 |
- |
| Enterprises Whose Bad Data Cost Them Millions: Lessons from Samsung and Uber |
Datafold Team |
Oct 05, 2023 |
753 |
- |
| The $10B opportunity hidden in legacy ETL migrations |
Gleb Mezhanskiy |
May 12, 2025 |
326 |
- |
| dbt lineage: What it is, and why it's important |
Gleb Mezhanskiy, Kira Furuichi |
May 09, 2024 |
527 |
- |
| Datafold's AI-powered data migration with automated end-to-end data validation |
Leo Folsom |
Feb 12, 2025 |
527 |
- |
| Choosing the right data lineage tools for your analytics work |
Datafold Team |
Sep 27, 2023 |
1413 |
- |
| Buy not build |
Gleb Mezhanskiy |
Aug 01, 2023 |
437 |
- |
| The future of data engineering is AI-powered |
Gleb Mezhanskiy |
Jan 29, 2025 |
569 |
- |
| Data observability tools vs data quality tools |
Datafold Team |
Nov 22, 2023 |
881 |
- |
| The future of data migrations: 6 trends SIs need to prepare for |
Elliot Gunn |
Apr 24, 2025 |
351 |
- |
| Best practices for using dbt with Snowflake |
Madison Schott |
Jun 12, 2023 |
1349 |
- |
| Why Data Lineage Matters and Why it's so Challenging |
Alex Morozov |
May 16, 2022 |
730 |
- |
| Datafold is now available on Google Cloud Marketplace |
Kira Furuichi |
Jun 20, 2024 |
137 |
- |
| 7 dbt testing best practices |
Gleb Mezhanskiy |
May 07, 2024 |
246 |
- |
| How to Onboard Analytics Engineers |
Kenny Ning |
Jul 19, 2022 |
1289 |
- |
| Data Warehouse Modernization Starts with Automated Validation |
Datafold Team |
Mar 03, 2025 |
1775 |
- |
| How to use dbt-expectations to detect data quality issues |
Madison Schott |
Mar 17, 2023 |
1758 |
- |
| It's almost 2025 and data teams are still stuck in the 'Pre-CI' era |
Elliot Gunn, Alex Mill |
Dec 05, 2024 |
247 |
- |
| Using the dbt semantic layer to easily build semantic models |
Datafold Team |
Apr 05, 2024 |
610 |
- |
| Translating the untranslatable: Datafold Migration Agent now supports ALL major ETL tools |
Gleb Mezhanskiy |
May 28, 2025 |
511 |
- |
| Book Digest: 97 Things Every Data Engineer Should Know |
Datafold Team |
Jan 19, 2022 |
9007 |
- |
| 4 ways to build dbt Python models |
Bruno Souza de Lima |
Feb 23, 2023 |
3001 |
- |
| Where Do Data Quality Issues Come From? |
Matthew David |
Dec 16, 2022 |
1218 |
- |
| Setting up dbt development environments |
Kyle McNair |
Dec 15, 2023 |
269 |
- |
| Datafold catches unintended changes to immutable data |
Leo Folsom, Elliot Gunn |
Jun 04, 2024 |
421 |
- |
| Why create an open source extension of Data Diff? |
Matthew David |
Aug 09, 2022 |
879 |
- |
| The Lowdown: Open source data-diff vs. Datafold Cloud |
Kira Furuichi |
Aug 14, 2023 |
1448 |
- |
| How to build a successful cloud migration testing strategy |
Datafold Team |
Jan 30, 2024 |
141 |
- |
| Announcing the Tableau Integration for Datafold Cloud |
Gleb Mezhanskiy |
Nov 13, 2023 |
297 |
- |
| Data migrations: 80% done, 80% left |
Elliot Gunn |
Apr 08, 2025 |
257 |
- |
| Testing data pipelines: The Modern Data Stack challenge |
Ari Bajo Rouvinen |
Apr 06, 2023 |
1056 |
- |
| Data reconciliation: Technical best practices |
Elliot Gunn |
Jul 31, 2024 |
551 |
- |
| The Data Engineering Podcast: Reconciling the data in your databases |
Elliot Gunn |
Apr 01, 2024 |
390 |
- |
| The 8 dimensions of data quality |
Datafold Team |
Nov 03, 2023 |
713 |
- |
| SnowConvert AI alternatives: Why Datafold is the better choice |
Elliot Gunn |
Jun 27, 2025 |
678 |
- |
| Optimize ETL processes with dbt |
Datafold Team |
Jul 04, 2024 |
467 |
- |
| Datafold for Everyone |
Gleb Mezhanskiy |
Jun 02, 2022 |
1026 |
- |
| Slim CI: The Cost-Effective Solution for Successful Deployments in dbt Cloud |
Leo Folsom |
Apr 27, 2023 |
543 |
- |
| Datafold is now available on the AWS Marketplace. |
Richie Corcoran |
May 17, 2023 |
179 |
- |
| What is the Datafold Migration Agent, and how does it work? |
Kira Furuichi |
Feb 18, 2025 |
1322 |
- |
| What is a data catalog? |
Datafold Team |
Jun 19, 2024 |
501 |
- |
| The difference between Datafold tests and dbt tests |
Leo Folsom, Elliot Gunn |
May 02, 2024 |
332 |
- |
| Understanding data quality issues and solutions |
Ari Bajo |
Mar 02, 2023 |
1343 |
- |
| What to do with CI results in your dbt project? |
Elliot Gunn |
Jul 01, 2024 |
190 |
- |
| Introducing NoSQL and file diffing in Datafold |
Kira Furuichi |
Jan 21, 2025 |
566 |
- |
| Running dbt with Airflow |
Forrest Bajbek |
Sep 21, 2022 |
910 |
- |
| The State of Data Testing |
Pedram Navid |
Jan 18, 2023 |
1012 |
- |
| The day you stopped breaking your data |
Gleb Mezhanskiy |
Jul 25, 2022 |
1714 |
- |
| Top dbt utils and how to use them in your project |
Datafold Team |
Jun 20, 2023 |
1116 |
- |
| Lift-and-shift migration: What it is and why it's better |
Kira Furuichi |
Nov 19, 2024 |
1035 |
- |
| Why Looker was and Lightdash is a big deal for BI |
Gleb Mezhanskiy |
Jul 28, 2023 |
655 |
- |
| Data quality checks: Why you need them |
Datafold Team |
Jul 08, 2024 |
280 |
- |
| Replicating Postgres to Redshift: A practical guide |
Datafold Team |
Feb 17, 2025 |
539 |
- |
| Github Best Practices for Analytics Engineering |
Madison Schott |
Aug 29, 2023 |
805 |
- |
| 3 cloud data migration tools to consider |
Datafold Team |
Jan 30, 2024 |
212 |
- |
| Introducing data replication testing in Datafold |
Gleb Mezhanskiy |
Apr 02, 2024 |
877 |
- |
| SQL Tools on the Command Line |
Matthew David |
Nov 10, 2023 |
937 |
- |
| Unit Test vs an Integration Test for dbt |
Forrest Bajbek |
Sep 28, 2022 |
403 |
- |
| Automating data quality testing in CI with Datafold |
Elliot Gunn |
Jul 10, 2024 |
1617 |
- |
| Understanding Your Data: The Technology That Powers It |
Emilie Schario |
Feb 07, 2023 |
1092 |
- |
| Datafold in CI is for everyone (even if you don't use dbt) |
Leo Folsom |
Nov 15, 2023 |
467 |
- |
| Datafold Partners with Snowflake and Achieves Select Tier Partner Status |
Richie Corcoran |
Oct 11, 2022 |
215 |
- |
| Shifting Data Quality to the Left: A Four-Level Framework |
Gleb Mezhanskiy |
Jan 26, 2023 |
369 |
- |
| Data monitors: Best practices for 3 data engineering scenarios |
Elliot Gunn |
Oct 16, 2024 |
498 |
- |
| Quick setup guide to installing dbt Core on an M1 Mac |
Kyle McNair |
Feb 15, 2024 |
241 |
- |
| Datafold Achieves Google Cloud Ready - BigQuery Designation |
Gleb Mezhanskiy |
Apr 02, 2025 |
548 |
- |
| How to Simplify Your Move from a Data Warehouse to a Data Lake |
Datafold Team |
Nov 26, 2024 |
2177 |
- |
| From testing to monitoring: Datafold's unified data quality platform |
Gleb Mezhanskiy |
Oct 01, 2024 |
803 |
- |
| When it's time to level-up your dbt tests: 5 reasons to consider adopting data diffing |
Kira Furuichi |
Aug 17, 2023 |
1666 |
- |
| Overcoming Legacy Data Migration Challenges with Confidence |
Datafold Team |
Mar 03, 2025 |
2287 |
- |
| Uncovering Apache Airflow's 3 most underused features |
Datafold Team |
Jan 05, 2024 |
1146 |
- |
| Hightouch Integration |
Matthew David |
Jul 28, 2022 |
216 |
- |
| The Complete Data Migration Checklist: Simplifying Lift-and-Shift Transitions |
Datafold Team |
Jan 07, 2025 |
634 |
- |
| dbt seeds: What they are and how to use them |
Datafold Team |
Jun 26, 2024 |
430 |
- |
| Improving the Modern Data Stack - Recap of Monday Morning Data Chat |
Matthew David |
Oct 01, 2022 |
904 |
- |
| The top data observability tools |
Elliot Gunn |
Sep 20, 2024 |
287 |
- |
| The evolution of data migrations: Past, present, and AI-powered future |
Gleb Mezhanskiy |
Sep 26, 2024 |
361 |
- |
| Datafold + dbt: The Perfect Stack for Reliable Data Pipelines |
Gleb Mezhanskiy |
Feb 05, 2022 |
772 |
- |
| AI in data engineering: Use cases, benefits, and challenges |
Kira Furuichi |
Mar 05, 2025 |
1403 |
- |
| What is data observability? |
Elliot Gunn |
Sep 12, 2024 |
496 |
- |
| dbt unit testing best practices |
Gleb Mezhanskiy |
May 06, 2024 |
782 |
- |
| 3 different ways to diff data |
Kenny Ning |
Jan 10, 2024 |
733 |
- |
| Every migration is an edge case nightmare. Can AI break the deadlock? |
Graham Whitelaw |
Mar 18, 2025 |
244 |
- |
| What is Datafold Cloud? |
Kira Furuichi |
Sep 05, 2023 |
648 |
- |
| At the frontier of velocity and data quality |
Gleb Mezhanskiy |
Jan 03, 2024 |
279 |
- |
| data-diff and MotherDuck: Better together |
Sung Won Chung |
Jan 12, 2024 |
583 |
- |
| What is data validation? |
Datafold |
May 27, 2024 |
873 |
- |
| Announcing the Power BI Integration |
Kira Furuichi |
Nov 12, 2024 |
378 |
- |
| Data Quality Meetup #7 |
Datafold Team |
Oct 06, 2022 |
2559 |
- |
| Data modernization for SIs: From migration vendor to strategic partner |
Elliot Gunn |
Apr 14, 2025 |
245 |
- |
| Why Conduct Data Quality Post-mortems?: Lessons learned from GitLab, Google, and Facebook |
Datafold Team |
Sep 22, 2023 |
1164 |
- |
| A Modern Data Migration Framework for AI-Powered Success |
Datafold Team |
Jan 06, 2025 |
1990 |
- |
| Announcing support for Oracle in Datafold |
Kira Furuichi |
Feb 08, 2024 |
339 |
- |
| dbt exposures: What they are and how to use them |
Gleb Mezhanskiy |
May 08, 2024 |
546 |
- |
| 9 Best Tools for Data Quality in 2024 |
Datafold Team |
Sep 04, 2024 |
1515 |
- |
| The 3-in-1 toolkit for faster data migrations |
Gleb Mezhanskiy |
Dec 04, 2023 |
288 |
- |
| Is Datafold the right data quality testing tool for you? |
Kira Furuichi |
Sep 01, 2023 |
1271 |
- |
| Data pipeline monitoring: What it is and how to implement data quality testing |
Elliot Gunn |
Oct 24, 2024 |
200 |
- |
| Replicating MongoDB to BigQuery: A practical guide |
Datafold Team |
Feb 06, 2025 |
381 |
- |
| To Diff or not to Diff: The cloud migration testing question |
Datafold Team |
Feb 21, 2024 |
694 |
- |
| How to Migrate from Redshift to Snowflake |
Matthew David |
Dec 05, 2022 |
700 |
- |
| Data Diff gets faster and simpler: One algorithm, better performance |
Nick Carchedi |
Sep 09, 2025 |
306 |
- |