Time Consumed by Data Prep: Is This a Bad Thing?
Data professionals are spending too much time on data prep, but the quality assurance that provides ensures projects are working with clean data
Reimagining ETL in the Era of Cloud Data
Reverse ETL empowers data teams to easily prep bulk data, move it outside the cloud data warehouse, and operationalize it for their organization.
Data-as-a-Service: The New Model for Analytics?
With data-driven companies, project bottlenecks are often the size and shape of your own data team. Here's how data-as-a-service might help unplug
Talend Looks to Transform Data Loading by Acquiring Stitch
By adding Stitch's data loading capabilities, Talend looks to make life easier for those considering a move to the
Enabling the Real-Time Enterprise with StreamAnalytix
StreamAnalytix aims to change the marketplace for streaming analytics and how it fits with the growing open source
What is the Relevance of ETL in 2018?
IT execs are debating whether ETL (Extract, Transform and Load) is still relevant in a big data and cloud-based data warehouse world. Let's take a
