Organizations must improve data quality if they want to make effective data-driven decisions. But as data teams collect more data than ever before, manual interventions alone aren’t enough. They also ...

ROUND ROCK, Texas, May 12, 2025 /CNW/ -- Actian, the data division of HCLSoftware, today launches Actian Data Observability, which leverages AI and machine learning for comprehensive data quality ...

It’s essential to recognize that constructing a data observability system, much like any operational software, requires engineering (in this case, data engineering) resources, data science expertise ...

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 ...

Data quality techniques are by now well-known and relatively easy to apply, while data observability can be more complex to implement, but in the end, both are needed to holistically contribute to ...

The use of data lakes is growing in the federal market, and they have great potential for better analysis and data-driven decision-making -- as long as they are kept clean and pollution-free.

In today's data-driven world, unreliable pipelines lead to broken dashboards, late reports, and untrustworthy analytics. Data Engineers face increasing pressure to ensure their data pipelines deliver ...

ROUND ROCK, Texas, May 12, 2025 /PRNewswire/ -- Actian, the data division of HCLSoftware, today launches Actian Data Observability, which leverages AI and machine learning for comprehensive data ...