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

The huge demand for computation in artificial intelligence (AI) is driving unparalleled
investments in hardware and software systems for AI. This leads to an explosion in the …

Modern high-performance analytical query engines follow one of two execution paradigms.
Vectorized engines implement an interpreter for relational algebra operators that operates …

Subgraph matching is a fundamental problem in graph analysis. Recently, many algorithms
have been developed, often using classic backtracking search. This traditional backtracking …

Modern analytical database management systems often adopt vectorized query execution
engines that process columnar data in batches (ie, data chunks) to minimize the …

Nulls are common in real-world data sets, yet recent research on columnar formats and
encodings rarely address Null representations. Popular file formats like Parquet and ORC …

Artificial Intelligence (AI) has become a cornerstone of modern computing, powering a wide
range of applications in fields from face recognition and machine translation to medical …

In-memory database systems keep their data primarily resident in main memory to avoid
performance penalties from accessing persistent storage mediums such as solid-state …

This project explores predicate evaluation for the FastLanes file format within the framework
of cascaded encoding, which encodes the data in multiple layers to achieve higher …

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