Date: 2020-01-31
Time: 15:20–16:10
Room: PGDay at Hilton
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In recent years, the number of edge and sensor devices in IoT systems has increased abruptly to the thousands or the tens of thousands. When users store data in high-performance edge and sensor devices, they prefer to search data directly on them rather than collecting the data in the cloud. Users also want to handle this distributed big data as a single virtual table that they can search at high speed. For that reason, we developed PGSpider which can access various data sources at high speed by using PostgreSQL Foreign Data Wrappers (FDW). By using FDW's pushdown function to its full potential and thread parallelization, PGSpider can acquire and process data at lightning speed.
I will talk about the following points.
The following slides have been made available for this session: