Data + AI Summit 2022 于2022年06月27日至30日举行。本次会议是在旧金山进行,中国的小伙伴是可以在线收听的,一共为期四天,第一天是培训,后面几天才是正式会议。本次会议有超过200个议题,演讲嘉宾包括业界、研究和学术界的专家,本次会议主要分为六大块:数据分析, BI 以及可视化:了解最新的数据分析、BI 和可视化技术以及
Data + AI Summit 2022 于2022年06月27日至30日举行。本次会议是在旧金山进行,中国的小伙伴是可以在线收听的,一共为期四天,第一天是培训,后面几天才是正式会议。本次会议有超过200个议题,演讲嘉宾包括业界、研究和学术界的专家,本次会议主要分为六大块:数据分析, BI 以及可视化:了解最新的数据分析、BI 和可视化技术以及
Depending on the complexity of your SQL query there are many, often exponential, query plans that return the same result. However, the performance of each plan can vary drastically; taking only seconds to finish or days given the chosen plan.That places a significant burden on analysts who will then have to know how to write performant SQL. This problem gets worse as the complexity of questions and SQL queries increases. In the abse
Starburst provides connectors to the most popular data sources included in many of these connectors are a number of exclusive enhancements. Many of Starburst’s connectors when compared with open source Trino have enhanced extensions such as parallelism, pushdown and table statistics, that drastically improve the overall performance. Parallelism distributes query processing across workers, and uses many connections to the data source a
Dynamic filtering optimizations significantly improve the performance of queries with selective joins by avoiding reading of data that would be filtered by join condition. In this respect, dynamic filtering is similar to join pushdown discussed above, however it is the equivalent of inner join pushdown across data sources. As a consequence we derive the performance benefits associated with selective joins when performing federated queri