Data is changing. You knew that. But the dialog over the past 10 years around big data and Hadoop is rapidly moving to data and real-time.
We have tackled how to capture big data at scale. We can thank the Hadoop Distributed File System for that, as well as cloud object stores like AWS S3.
But we have not yet tackled the instant results part of big data. For that we need more. But first, some history.
Turning Point for the Traditional Data Warehouse
Internet scale workloads that emerged in the...
by Gary Orenstein