Monte Carlo: O'Reilly Data Quality Fundamentals

For decades, the lack of visibility into the health of our data has led to data downtime in companies around the world. 

When data is missing, inaccurate, or erroneous, data quality initiatives are doomed to fail, leaving enterprises at a privacy compliance and business disadvantage.

O’Reilly’s Data Quality Fundamentals is the definitive guide and the first book published by O’Reilly to educate the market on how best-in-class data teams design and architect technical systems to achieve trustworthy and reliable data at scale. 

This is the only guide that helps data engineers and analysts understand the key factors that contribute to poor data quality as well as giving them the tools to detect, resolve, and prevent these issues at a large scale.

We are excited to share that the full book is now available for free download.

Access your copy to learn:

• Why data quality deserves attention and what exactly is the concept of data downtime.
• How data engineers and analysts can architect more reliable data ecosystems.
• What it takes to identify, alert for, resolve, and prevent data quality issues across your stack.

Download our Quality Fundamentals guide to take control of your data.