In 2013, AmazonWeb Services revolutionized the data warehousing industry by launching
Amazon Redshift, the first fully-managed, petabyte-scale, enterprise-grade cloud data …

Many organizations are shifting to a data management paradigm called the" Lakehouse,"
which implements the functionality of structured data warehouses on top of unstructured …

Prediction queries are widely used across industries to perform advanced analytics and
draw insights from data. They include a data processing part (eg, for joining, filtering …

Many organizations need large amounts of high quality data for their applications, and one
way to acquire such data is to combine datasets from multiple parties. Since these …

Advances in deep learning have led to a resurgence of interest in video analytics. In an
exploratory video analytics pipeline, a data scientist often starts by searching for a global …

© 2018 VLDB Endowment. In order to democratize data science, we need to fundamentally
rethink the current analytics stack, from the user interface to the “guts.“Most importantly …

Although compiling queries to efficient machine code has become a common approach for
query execution, a number of newly created database system projects still refrain from using …

Machine Learning (ML) adoption in the enterprise requires simpler and more efficient
software infrastructure—the bespoke solutions typical in large web companies are simply …

Today's users of data processing systems come from different domains, have different levels
of expertise, and prefer different programming languages. As a result, analytical workload …

User-defined functions (UDFs) have been widely used to overcome the expressivity
limitations of SQL and complement its declarative nature with functional capabilities. UDFs …