Big Spatial Data @ Facebook

宾理涵：Facebook/GeoAPI/Software Engineer Tech Lead

毕业于美国佛罗里达大学硕士，就职于Facebook的GeoAPI组担任tech lead。带领团队开发了geospatial indexing平台，将地理大数据和实时数据流检索导入以提供实时的查询和计算，该平台已经用于多个面向用户的产品。他还参与了Facebook搜索引擎中的地理查询的设计和开发。

在加入Facebook之前，他就职于Qualcomm，任Qualcomm在标准制定组织Khronos Group的代表，参与OpenCL标准制定。

演讲题目：Big Spatial Data @ Facebook

演讲摘要：Big Geospatial Data at scale has all the challenges of data at scale along with some quirks very specific to spatio-temporal data. However, these very quirks (like the bounds of latitude/longitude, Euclidean vs. great circle distances, the "true" shape of the earth and the extremely skewed distribution of geospatial features) can be leveraged into interesting and productive trade-offs to offset and address these challenges. With more and more mobile devices thrown into the mix (both as producers and consumers of spatio-temporal data), realtime and accurate lookup of points and polygons based on GPS locations and queries about k-nearest and Top-K based on geospatial contexts are a very common and relevant problem. At the same time, providing scalable offline aggregation and query capabilities of spatio-temporal data for analytics use cases becomes vital to making sense of it.

The Facebook Location Infrastructure team handles spatio-temporal data at Facebook scale (using a mix of in-house and open source technologies and pragmatic trade-offs/decisions). This presentation will cover various design decisions and architectural choices taken to ramp up Trillions of operations per day on a heterogeneous mix of spatio-temporal data (for both online and analytics oriented use cases).

演讲提纲：

1. Challenges of handling geospatial data at Facebook scale
2. Facebook data warehouse overview
3. Deep dive into the Big Spatial Data @ Facebook
4. Security & Privacy Consideration

听众受益点：

了解Facebook的Big Spatial Data平台