Continuous Optimization for distributed Big Data analysis, Kai Sasaki ( Treasure Data Inc. )
Приглашаем на конференцию HighLoad++ 2024, которая пройдет 2 и 3 декабря в Москве Программа, подробности и билеты по ссылке: HighLoad++ Moscow 2018 Тезисы и презентация: The performance of distributed data analysis highly depends on the data structure such as file practical we also need to consider the application workload. We developed a technology which can improve OLAP performance by optimizing storage structure continuously to fit application workload. Нашли ошибку в видео Пишите нам на
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