Cloud computing big data
- 1. Cloud Computing a brief concept
- 2. Brief concepts ● Time sharing. The cost of maintenance is elevated. Multiple users sharing use data and cpu. ● Virtual Machines. Allow users to have multiple virtual systems in a single physical node. ● VPN virtual private network. Allow for users through shared access to the same physical infrastructure.
- 3. What is… ? It’s the vast computing resources reside on a remote location. We use and connect them as need. It’s the transition to an online computing infrastructure.
- 4. Traditional
- 5. Now
- 7. 3 Reasons ● Instant (when ever you need)
- 8. 3 Reasons ● Save money
- 9. future... Cloud computing allows users to develop new applications without the need to have the software and the infrastructure.
- 10. Big Data Data is the new paradigm, lot of information. Data is growing exponentially What’s the challenge..?
- 11. Big Data, old days
- 12. Nowadays
- 13. Big Data 3 V’s ● Volume ● Velocity ● Variety
- 14. end "In internet, if a product is free, you or your data is the product"
Editor's Notes
- #3: I talk you about time sharing in the start days when a computer was very expensive, the scientist have to share a only computer. The measure was cycling time of CPU. Then when the computer were more big become the concept virtual machine. We can share multiple logical machines in the same physical machine. Then started VPN virtual private network that allow us share infrastructure. Actually all is the same thing, share and reuse.
- #5: Tradicional concept Before when we need a web. We have to buy a computer and set up. When we increase we must buy more computers. in old day a factory had a small generator to make a electricity , then electric company provided energy for all.
- #6: You pay for use. You can use from any computer. Infrastructure you can be use for any time, with the amount of resource as you need. The
- #7: secure, reliable and scalable
- #10: in the beginning web was only for specialist, then web 2.0 was become social, and now with cloud computing anyone have the power computationally to want
- #11: the challenge is analyzing
- #12: computer did a good job, but now they must to reivented
- #13: twitter manages 1,2 billion deliveries per second Facebook warehouses 180 petabytes in a year.
- #14: volume: vast quantity of digital information offer great opportunities (market and companies are more complicated). velocity: data collect can be accesible inmediatible variety: data collect from many sources (pictures, videos, internet of things…..)