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The Definitive Guide to Data Quality Monitoring Vendor Selection
Enabling AI at Scale: Lakehouse Data Quality & Orchestration
Data Scars & Data Shocks: The Long-Term Effects of Data Quality Issues
Introduction to Data Ingestion: A Comprehensive Guide
Data Democratization: What It Means and Why It Matters
Anomalo’s Series B and the Future of Enterprise Data Quality
Monitoring Metrics #2: Visualizing Anomalies in Collections of Metrics
This is the second post in our “Monitoring Metrics” series. We’ll cover how to use Anomalo to monitor multiple metrics at once and stay clear of common pitfalls that statisticians face. Think about visiting the doctor and getting your vitals measured. A doctor doesn’t prescribe a treatment based on one single metric like body … Continued
The Power of a Trusted Data Lakehouse, Part 1: Go Bust or Boom
Sustainable Data Governance with Unity Catalog The time to view data governance as a luxury, a nice-to-have, has come and gone. In today’s data-driven world, proper data governance is essential for survival. It has become a key enabler to organizations’ future growth and resilience, especially for highly regulated entities such as financial services institutions … Continued
Chapter 3 Preview of the Anomalo & O’Reilly Data Quality Guide
While nearly every business today relies on high-quality data, no two businesses have exactly the same data quality needs. Looking to measure the ROI of data quality monitoring at your organization and understand the factors that go into this equation? Download “The Business Impact of Data Quality Monitoring,” Chapter 3 of our new O’Reilly book … Continued