Data quality alone is no longer sufficient. Enter data observability, which is particularly suited to the shift to more decentralised data management. By Bryn Davies, CEO, InfoBluePrint. Johannesburg, ...

Enterprises today face unprecedented challenges in managing the complexity of their data ecosystems. Traditional data monitoring focuses on infrastructure but fails to provide visibility into the data ...

The complexity of modern cloud environments is both a blessing and a curse. While organizations can use dynamic SaaS tools and other cloud-based software to scale and optimize, they also must devote ...

Suppose you maintain a large set of data pipelines from external and internal systems, data warehouses, and streaming sources. How do you ensure that your data meets expectations after every ...

Following its $135 million Series D last week, Monte Carlo became the latest unicorn in a fast-rising category: data observability, which the startup defines as “an end-to-end approach to enable teams ...

Data is becoming increasingly important to companies as it offers several operational, security, compliance and productivity benefits. Organizations that want to get the maximum value from data must ...

Observability by definition is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In other words, a system’s behavior is determined from its ...