In recent years, Apache Hadoop has emerged from humble beginnings to worldwide adoption - infusing data centers with new infrastructure concepts and generating new business opportunities by placing parallel processing into the hands of the average programmer.
This paper will shed light on the differences and help architects identify when to deploy Hadoop and when it is best to use a data warehouse.
This paper is organized into these sections:
- Teamwork - Hadoop and the data warehouse
- Hadoop differentiators
- Data warehouse differentiators
- Shades of gray - where the technologies overlap