How to Ensure Data Integrity at Scale By Harnessing Data Pipelines
Automated data pipelines have become the natural framework to operationalize data integrity and accelerate data integrity projects.
Michael Leppitsch
Michael Leppitsch is Head of Data Strategies and Alliances at Ascend.io.
Data Pipeline Optimization: How to Reduce Costs with Ascend
There are many different ways to control costs when implementing modern data pipelines. Here are some ideas to get started.
Dialing Down the Dollars: Quantify and Control Your Data Costs
Data costs must be tied to data products and the business value they create to make informed decisions based on return on investment.
Data Pipeline Basics: From Raw Data to Actionable Insights
The traditional method of building and managing pipelines brings many challenges. That’s why forward-thinking teams are pursuing a better way: data pipeline automation.
Data Pipeline vs ETL: Which Delivers More Value?
Data pipelines are not just an upgrade to ETL processes but a transformative approach that equips businesses to be future-ready.
Five Data Pipeline Best Practices to Follow in 2023
Following these data pipeline best practices will help any team deliver data pipelines with the integrity needed to build trust in the data, and do so at scale.
What Are Intelligent Data Pipelines?
To knock down the barriers to delivering business value from data, organizations need to envision a new type of intelligence in their data pipelines.