At Anomalo, we believe in empowering everyone in your organization to have a stake in data quality. That means that instead of pushing users to adapt their workflows to something new, we want to meet them where they already are. For engineers, we’ve long supported a command-line interface (CLI) for interacting with Anomalo. After improvements … Continued
It doesn’t matter how compelling a software vendor’s offerings are if your cybersecurity team says no. Enterprises are rightfully concerned with data privacy, security, and the risk of data leaks, especially as they relate to testing new software products. With strict regulations around data compliance and the ever-present threat of bad actors, businesses need to … Continued
If you’re using dbt, you have likely come across dbt tests. Used for detecting data quality issues, dbt tests are a set of rules applied to datasets that are used to validate specific conditions, such as column data types, absence of null values, or foreign key relationships. These tests help improve the integrity of each … Continued
Anomalo Deepens its Integration with the Alation Data Catalog As part of Anomalo’s commitment to interoperability, we previously joined Alation’s Open Data Quality Initiative as a founding partner. Our partnership with Alation has resulted in significant growth of mutual customers and a heightened demand for enhanced interoperability. ‍ Today, we’re excited to announce that we’re … Continued
Our mission at Anomalo is to automatically detect data issues and understand their root causes, before anyone else. With the modern data stack involving numerous services working together, there are all kinds of ways for things to go wrong, ranging from data delays to invalid information. Anomalo serves a critical role as a data observability … Continued
The executive dashboard with all your data quality vitals at your fingertips
Jeremy Stanley, co-founder and CTO of Anomalo, discusses the ways in which enterprise data teams are using the platform to monitor and improve their data quality.
In this episode founders Elliot Shmukler and Jeremy Stanley explain how they have architected the system to work with your data warehouse and let you know about the critical issues hiding in your data without overwhelming you with alerts.