List of Interesting ideas and Views:
- Real Time Data Platform Presentation IDC Big Data Forum 2013
- Winning back the Zero Moment of Truth (ZMOT)
- 50 Times a Second measure and correct: Quad copters and Algorithms
- What Shazam and Cortexica can not survive without !
- Why can’t we deliver an open source Science and Technology project in Turkey?
- Drifting Fish Farms Hawaii Big Island – Exprience for Turkey
- Coca-Cola Adjust Taste of Orange Juice by Secret Algorithm (Black Book)
- How does 2013 Budget look like in Turkey?
- Model Yacht Coming Back To Life with Remote Control
- Reinventing Your Company
- The Moment at its Best Visual Form
- Combination of in-Memory R and SAP HANA: Complex Analytics at Speed of Tought
- Top Five Things to Consider in Mobile Era: Benchmark Your Company !
- Algorithms and Sex Appeal: Could algorithms work for Sex Appeal? Can you look more sexy if you know some Mathematics?
- Complex Event Processing and Carrier Hotel New York City – What do they have in common?
H-store: One Size Fits All An Idea Whose Time Has Come and Gone in RDBMS!
Michael Stonebraker has been a pioneer of data base research and technology for more than a quarter of a century. He was the main architect of the INGRES relational DBMS, the object-relational DBMS, POSTGRES, and the federated data system, Mariposa. All three prototypes were developed at the University of California at Berkeley where Stonebraker was a Professor of Computer Science for twenty five years. He is the founder of three successful Silicon Valley startups,...
GPU and SQL: Can GPU be used for SQL processing
A topic left unexamined in this paper is the possibility of breaking up a data set and running a query concurrently on multiple GPUs. Though there would certainly be coordination overhead, it is very likely that SQL queries could be further accelerated with such a con guration. Consider the NVIDIA Tesla S1070, a server product which contains 4 Tesla GPUs. This machine has a combined GPU throughput of 408 GB/sec, 960 streaming multiprocessors, and a...
Uçan Robotlar Tenis Oynuyor
Uçan Robotlar Tenis oynayabilir mi? Bu robotlar başka neler yapabilir?
Scalability architecture: SMP and MPP
SMP stands for symmetric multi-processing, distribution of computingworkload across a cluster of linked computers. Each node may havemultiple, multi-core processors to further parallelize processing on thatnode. Nodes may have local disk storage and also share disk storage withother nodes. A database system that runs across nodes of an SMP clusteris termed “shared disk.” It uses locks to regulate concurrent access to thedatabase, although locking is typically not a bottle-neck for read-intensivedata-analysis applications.MPP stands for massively...