Big Data: Achieve the Impossible in Real-Time
Jean-Pierre Dijcks (Oracle):
The main components in the big data platform provide:
- Deep Analytics — a fully parallel, extensive and extensible toolbox full of advanced and novel statistical and data mining capabilities
- High Agility — the ability to create temporary analytics environments in an end-user driven, yet secure and scalable environment to deliver new and novel insights to the operational business
- Massive Scalability — the ability to scale analytics and sandboxes to previously unknown scales while leveraging previously untapped data potential
- Low Latency — the ability to instantly act based on these advanced analytics in your operational, production environments
If I would be picky, the only thing I’d change would be the order: 1) low latency; 2) massive scalability; 3) high agility; 4) deep analytics.
Original title and link: Big Data: Achieve the Impossible in Real-Time (NoSQL databases © myNoSQL)
via: http://blogs.oracle.com/datawarehousing/entry/big_data_achieve_the_impossible
