Biswapesh Chattopadhyay, Sagar Mittal, Roee Ebenstein, Nikita Mikhaylin, Hung-ching Lee, Xiaoyan Zhao, Tony Xu, Luis Perez, Farhad Shahmohammadi, Tran Bui, Neil McKay, Priyam Dutta (+10 others)
2019 Proceedings of the VLDB Endowment  
Large organizations like YouTube are dealing with exploding data volume and increasing demand for data driven applications. Broadly, these can be categorized as: reporting and dashboarding, embedded statistics in pages, time-series monitoring, and ad-hoc analysis. Typically, organizations build specialized infrastructure for each of these use cases. This, however, creates silos of data and processing, and results in a complex, expensive, and harder to maintain infrastructure. At YouTube, we
more » ... ed this problem by building a new SQL query engine -Procella. Procella implements a superset of capabilities required to address all of the four use cases above, with high scale and performance, in a single product. Today, Procella serves hundreds of billions of queries per day across all four workloads at YouTube and several other Google product areas. PVLDB Reference Format:
doi:10.14778/3352063.3352121 fatcat:ccnemrteevg2xm6lcy67peck6a