Einat Orr is the cofounder and CEO of Treeverse, the team behind lakeFS. She is an engineering leader and holds a PhD in mathematics. It might sound counterintuitive, but an economic downturn can be ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

In this sponsored post, our friends over at Acceldata examine how integrating data observability into your business operations will create the necessary environment and feedback loop needed to improve ...

In 2026, sticking to the “best practice” in the lab is, more than ever, about going above and beyond SOP adherence. There are standards to update and data integrity to strengthen, all while attempting ...

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

Tools that clean or correct data by getting rid of typos, formatting errors, and unnecessary and expendable data are known as data quality tools. These tools help organizations implement rules, ...

Few entities have as clear a view into the challenges and opportunities of data center growth as regulated utilities. They’re required to serve the customer – in this case, the data center developer – ...

Recruitment, onboarding, payroll, and employee records are often handled in separate systems, which can lead to duplicated data, delays, and costly errors. Integrating payroll and recruitment systems ...

Explore the best practices to improve data quality and maximize the value of your data assets. Data quality, the condition of an organization’s data in terms of consistency, accuracy, reliability, and ...