As we gear up for our Structure:Data conference next week in New York, we wanted to create a home for our four-part special report published over the course of last week on Hadoop, the big data engine that could. Links to the series follow below, and you can find more information on Structure:Data here.
Related Research
Key Criteria for Evaluating Machine Learning Operations Solutions
In recent years, the market for machine learning operations (MLOps) has seen rapid growth as businesses seek support for becoming machine learning…
Read MoreGigaOm Radar for Enterprise Business Intelligence
Business intelligence (BI) is today’s key enabler for analyzing data, deriving business insights from it, and sharing and publicizing those insights within…
Read MoreGigaOm Radar for Self-Service Business Intelligence
In recent years, self-service business intelligence (SSBI) has become an increasingly important tool for organizations of all sizes. Unlike enterprise BI (EBI),…
Read MoreKey Criteria for Evaluating Business Intelligence Solutions
Business Intelligence (BI) as a paradigm and product category has been around for decades. Arguably, though, it is enjoying its greatest popularity,…
Read MoreGigaOm Radar for Data Virtualization: Enterprise Vendors
The biggest obstacle that organizations face in using data to achieve mission-critical goals is the sheer variation in datasets that they encounter…
Read MoreGigaOm Radar for Data Virtualization: Pure-Play Vendors
The most challenging aspect of leveraging data for contemporary organizations isn’t the enormous quantity of data or the real-time speeds at which…
Read More