Helping clients rationalize and consolidate their data footprints
It's simple math: more databases means more targets for bad actors. Where databases are many, leaks are not far behind. And, a single data leak can absolutely destroy the credibility and even the financial solvency of an organization. We've helped our clients work through challenges associated with data protection, data isolation, and data security to ensure they reduce the likelihood of a leak.
No company is immune to data leaks but there are several ways you can mitigate data leaks. Running consolidated databases on fewer servers exposes less opportunities for leaks. Fewer databases means easier patching, less dependencies, and lower cost of ownership overall. It also reduces the likelihood of being hacked at points of integration or points of critical vulnerability.
Data warehouses typically require hundreds or even thousands of servers, each split-out into different logical and physical domains and boundaries. For each point of integration for data egress and ingress, incidents leading to official data leaks become more and more possible. But there are some great ways to shore-up an organization's data warehouse footprint.
Amazon Web Services is a scalable, cloud-based, compute ecosystem. There are specific nuances to the configuration, setup, and management that help prevent leaks on the AWS platform, and our team is able to help ensure these best practices are carried out for our clients.
Equifax is a prime example of a large-scale data breach and that changed the way IT leaders look at their data footprints. It's a centerpiece case study of why data consolidation is so critical and what can happen when data rationalization is not observed every so often.
Alan Katawazi, Sr. Consultant at Product Perfect
A study by Gartner found that poor quality data costs the average organization $9.7 million a year and the U.S. economy $3.1 trillion annually
Databricks Lakehouse Platform
Azure Data Factory
Senior database consultants with experience on large scale data projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.