Pipeline automation27 Mar, 2023
How to build scalable and accessible data pipelines
Discover the importance of building scalable and accessible data pipelines and how to do it with Y42.
Y42 Team
All articles
Pipeline automation27 Mar, 2023
How to build scalable and accessible data pipelines
Governance24 Mar, 2023
Why data engineers should care about data quality
Governance13 Mar, 2023
5 common challenges for cross-functional data governance collaboration
Governance21 Feb, 2023
How to use data lineage to build transparency
Governance13 Feb, 2023
Data management vs. data governance: Everything you need to know
Governance06 Feb, 2023
Top 8 data governance best practices to implement in 2023
Pipeline automation03 Feb, 2023
How to effectively use Git flows for version control in your data products
Pipeline automation30 Jan, 2023
Everything you need to know about production-ready data pipelines
Governance27 Jan, 2023
The 5 data governance principles you need to know about
Pipeline automation19 Jan, 2023
Data pipeline architecture: A guide to building a data pipeline
Pipeline automation16 Jan, 2023
What is a data pipeline?
Governance10 Jan, 2023
7 key components of a data governance stack
Governance05 Jan, 2023
What is data lineage?
Governance30 Dec, 2022
What is data monitoring?
Governance21 Dec, 2022
How to properly test data models
Governance07 Dec, 2022
What is a data governance framework and how do I create one?
Governance30 Nov, 2022
What is data ownership and why is it important?
Pipeline automation23 Nov, 2022
Change data capture: An ultimate guide
Governance16 Nov, 2022
What is referential integrity and what does it look like in practice?
Pipeline automation11 Nov, 2022
3 key components of a well-written data model
Opinion04 Nov, 2022
Why Y42 built the first Modern DataOps Cloud
Opinion28 Oct, 2022
Everything that’s wrong with the current data landscape
Pipeline automation14 Oct, 2022
Top 10 data visualization charts and when to use them
Pipeline automation04 Oct, 2022
9 basic SQL shortcuts you need to know for macOS and Windows
Tutorials28 Sep, 2022
How to use customer cohort analysis to improve retention
Collaboration15 Sep, 2022
How to bridge the communication gap between business and data teams
Pipeline automation07 Sep, 2022
Best practices for building informative data charts
Pipeline automation24 Aug, 2022
8 rules for using color effectively in data visualizations
Pipeline automation19 Aug, 2022
5 SQL functions any analytics engineer should know
Governance03 Aug, 2022
What is a data catalog and why is it important?
Governance27 Jul, 2022
Top tips for implementing a data governance practice
Data tips19 Jul, 2022
6 top tips for great data dashboards
Data tips14 Jul, 2022
5 best ways to improve your marketing analytics
Data tips08 Jul, 2022
How to get started with ecommerce analytics in 7 easy steps
Pipeline automation22 Jun, 2022
The ultimate data transformation guide
Tutorials14 Jun, 2022
How to build an influencer marketing attribution model
Data tips07 Jun, 2022
Top tips for powerful data-driven storytelling
Data tips31 May, 2022
The puzzle pieces of a modern data stack
Tutorials04 May, 2022
How to automate your data workflow: An intro to data orchestration
Data tips28 Apr, 2022
Improve your data analytics in 5 easy steps
Pipeline automation28 Jul, 2021
Types of attribution models
Pipeline automation28 Jul, 2021
Why data modeling is important
Pipeline automation18 May, 2021
Attribution modeling in ecommerce
Opinion20 Sep, 2020