In this data-driven age, enterprises leverage data to analyze products, services, employees, customers, and more, on a large scale. ETL (extract, transform, load) tools enable highly scaled sharing of ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Sachin is the CEO and Co-Founder of Dataworkz, which uses AI-powered automation to take the slog out of building a data-driven enterprise. This is the first in a series of articles about ELT, how it ...

Moving data between applications and warehousing data for analysis are recurring issues for app builders, data engineers, and IT teams. But we all know our businesses can benefit in significant ways ...

The extract, transform, and load phases of ETL typically involve multiple tasks, each of which can be executed independently. This means you can develop each task as a microservice. Companies generate ...

Big data is a big deal. Spotting trends in data enables business leaders and entrepreneurs to make better decisions, improve team performance and increase revenue. Sales, customer and operations data ...

The latest trends and issues around the use of open source software in the enterprise. Alfresco Software has updated its open source process automation, content management and information governance ...

The extract, transform and load (ETL) processes that feed Humana Inc.’s multiterabyte data stores consist of hundreds of custom-coded, table-driven Cobol programs. Those processes proved too ...

A data integration process that collects data from multiple sources, converts it into a standardized format, and loads it into a target system such as a data warehouse or database.