MongoDB and MySQL are both commonly used in web applications. It is often unclear with one should use one or the other, or if a combination is really ideal. During this talk, we will discuss the ideal use cases for each, and how they can be used in conjunction.
We will discuss a number of possible ways to to use them both: – Replicating MongoDB into MySQL for reporting – MongoDB for caching – Mixed environments – Using Hadoop to process data in either direction
As CTO of 10gen’s innovative platform technology, Eliot has quickly become one of Silicon Alley’s up and coming entrepreneurs, recently voted as one of “Top 25 Entrepreneurs Under Age 25” on BusinessWeek.com. Eliot is also the chief scientist of ShopWiki’s breakthrough crawling technology. In January 2005, he began developing the crawling and data extraction algorithm that is the core of ShopWiki’s innovative technology.
Prior to ShopWiki, Eliot was a software developer in the R&D group at DoubleClick. In 2004, Eliot won DoubleClick’s employee coding tournament that was designed to highlight the competitors’ relative skills in the analysis of complex algorithmic problems and the ability to write software to solve those problems.
Eliot received a B.S. in Computer Science from Brown University. He conducted research in artificial intelligence focusing on robotic mapping and navigation. He developed a novel algorithm for mapping spaces using a combination of support vector machines and adaboost that allows more precise navigation of office environments.
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