We live in an increasingly interconnected world, with many organizations operating across
countries or even continents. To serve their global user base, organizations are replacing …

The success of blockchain technology in cryptocurrencies reveals its potential in the data
management field. Recently, there is a trend in the database community to integrate …

Enterprises are moving their business-critical workloads to public clouds at an accelerating
pace. Multi-tenancy is a crucial tenet for cloud data service providers allowing them to …

Facebook uses MySQL to manage tens of petabytes of data in its main database named the
User Database (UDB). UDB serves social activities such as likes, comments, and shares. In …

Computing demand continues to grow exponentially, largely driven by" big data" processing
on hyperscale data stores. At the same time, the slowdown in Moore's law is leading the …

Google's Dremel was one of the first systems that combined a set of architectural principles
that have become a common practice in today's cloud-native analytics tools, including …

Recent proposals for the disaggregation of compute, memory, storage, and accelerators in
data centers promise substantial operational benefits. Unfortunately, for resources like …

Two decades ago, one of us co-authored a paper commenting on the previous 40 years of
data modelling research and development [188]. That paper demonstrated that the relational …

We have designed and developed OceanBase, a distributed relational database system
from the very basics for a decade. Being a scale-out multi-tenant system, OceanBase is …

Hadoop and Spark are widely used distributed processing frameworks for large-scale data
processing in an efficient and fault-tolerant manner on private or public clouds. These big …