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 ...

O'Reilly Media author and VP of Developer Experience for lakeFS, helping teams create cost-effective data systems and ML pipelines. Data is the backbone of every business organization today, and its ...

Poor data is an illness that costs enterprises, on average, $15 million every year, and that creates stress and insomnia for dedicated data teams. In order to stay focused on data quality, a little ...

Across industries, artificial intelligence is quietly (and not so quietly) enhancing business operations in a variety of ways, from streamlining processes to improving customer experiences (and ...

AI and accelerated computing are transforming the bio/pharmaceutical sector by addressing organizational, technological, and ...

A modern DataOps strategy should prioritize five core DataOps capabilities: data pipeline orchestration, data pipeline ...

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 ...

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 ...