Use this list of best practices for establishing and maintaining data governance within your organization. The volume of data that the world produces has risen exponentially in recent years. In 2020, ...

Since the dawn of the internet, the ability to leverage vast amounts of data has fueled innovation across every industry. This data revolution has given rise to powerful new tools such as generative ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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 responsible gathering of data on consumers is intrinsic to the verification tools that keep everyone safe from identity theft and other forms of fraud. Blanket attacks on "data brokers" will harm ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

Monitoring and observability are crucial in developing trustworthy, reliable data pipelines that effectively fuel dashboards, reports, and analytics. Despite its significance, traditional monitoring ...

Meta is making headlines again for its opaque data practices. This time the social media giant is under fire for how it has handled personalized advertising – unlawfully forcing users to accept ...

A customer relationship management (CRM) database is a resource that contains all customer data that all departments within an organization can access. These data include customer information, sales ...