As data becomes increasingly abundant and complex, the observability of data also becomes more challenging. Data observability refers to an organization’s ability to ensure data quality and ...

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 ...

Data teams within businesses and organizations strive to provide internal business users and external customers with analytical insights. But those efforts often fall short because the data and ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Big-data company Cloudera Inc. is getting into the observability game with the launch of a new tool that provides insights into the data, applications and infrastructure they operate on-premises and ...

Network observability tools emerged as an evolution of performance management products that aggregate data such as queue statistics, error counters, and log metrics ...

When following any sort of process — be it the steps you take to cook a meal or the order in which you book and pack for a vacation — you want to be proactive in preventing issues down the line.

Unified data operations startup Matia Inc. wants to give enterprises a better way to manage their data pipelines at scale after raising $21 million in an early-stage A round of funding. Red Dot ...

Because building reliable data pipelines is hard, and the first step to becoming a data-driven organization is trusting your data. It’s 8 a.m., and a business leader is looking at a financial ...

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. In the latest development ...

Have we entered the Golden Age of Data? Modern enterprises are collecting, producing, and processing more data than ever before. According to a February 2020 IDG survey of data professionals, average ...