Data practitioners should bring best practices from BI, especially automated data integration, to data science.

The shift from single public cloud architectures to hybrid multi-cloud continues at enterprises around the globe, as organizations look for greater control, lower costs, and improved performance. I had the opportunity recently to speak with Vaughn Eisler, director of business development at Equinix, about this massive shift and some of the complex reasons behind them. Eisler sees several reasons for the movement.

The Head of Business Intelligence (BI) oversees the use of software for data analytics and decision-making. Finding the right person for this role is critical because it's likely a key part of your business's broader BI implementation and team-building strategy.

Want to stay on top of competition and get insight into the latest ecommerce trends? Here is a list of 20+ most relevant ecommerce statistics you should know in 2023.

New insightsoftware Platform connects financial analytics, reporting, and performance management solutions to share data across applications, solve business problems faster, and do more with less.

Kafka adoption is growing fast. Very fast. At Lenses, we’re pushing out new features to increase developer productivity, reduce manual effort & improve the cost & hygiene of operating your Kafka platform. Only a few weeks since Lenses 5.1, yet here we are again with more goodies in our release 5.2.

A continuation of our series on ASCII files; how to ingest data from EDI files.

Traditional ETL processes are time-consuming and complicated to create and manage, making it difficult for businesses and developers to empower their apps with real-time data analytics capabilities. This is where a headless ETL platform can help. As a new approach to data integration, headless ETL solutions maximize data agility through a single API.