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 ...

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 ...

In today’s digital economy, organizations of all stripes manage enormous amounts of sensitive data each day, including financial records, intellectual property and personal information. Apart from the ...

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 this special guest feature, Bobby Koritala of Infogix, discusses data management best practices and why data quality without data integrity is no match for today’s business demands. Bobby Koritala, ...

Migrating data successfully requires planning and a solid process to control your activities. Read here for data migration best practices. Image: hanss/Adobe Stock ...

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, ...

Today’s north star is the autonomous digital enterprise, characterized by three traits: business agility, customer centricity and the ability to drive decisions with actionable insights – three traits ...

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 ...

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. Data is a critical ...