We investigated the prevalence of hypertensive patients and treated hypertensive patients
using a Japanese nationwide administrative claims database. We analyzed national …

In recent years, at ByteDance, we have started seeing more and more business scenarios
that require performing real-time data serving besides complex Ad Hoc analysis over large …

The manufacturing business field is accommodating a massive number of networked
sensors, which are offering a new horizon of microscopic observability; every single piece of …

To optimize query parallelism techniques, substantial workloads are required with specific
query plans and customized output size for each operator (denoted as cardinality …

This paper introduces LakeHarbor, a new data management paradigm that makes structures
(eg, indexes) first-class citizens in data lakes. The LakeHarbor paradigm enables a data …

Hash joins and sort-merge joins have been considered the algorithms of choice for
analytical relational queries in most parallel database systems because of their performance …

Japan has been continuously building a national-scale insurance claims database by
collecting all the insurance claims data from all the public health care insurers since 2009 …

Parallel processing is a typical approach to answer analytical queries on large database. As
the size of the database increases, we often try to increase the parallelism by incorporating …

With its unparalleled supply chain advantages and comprehensive industry support, China's
export cross-border e-commerce industry has experienced significant and sustained growth …

Entity resolution is a critical task in various applications, but it faces quadratic complexity. To
make entity resolution scalable to large datasets, blocking is typically employed. Syntactic …