Abstract: Data shapes our social, economic, cultural, and technological environments. Data is valuable, so people seek it, inducing data to flow. The resulting dataflows distribute data and thus value. For […]

Abstract: In the field of neuroscience, accurately mapping the complex three-dimensional (3D) neural circuitry and architecture of the brain is crucial for advancing our understanding of brain functions and disorders. […]

Abstract: Blockchain technology has attracted a significant amount of attention ever since the Bitcoin blockchain's success. Currently, most of the research and engineering efforts have been centered around monetary transactions such as token exchange protocols. The potential of building databases on top of blockchains is largely overlooked and remains an open problem. The literature on blockchain databases is divided into permissioned blockchains and permissionless account-based blockchains. However, the former is not fully decentralized, and the latter suffers from challenges in performance and cost. We propose SpendableDB, a permissionless UTxO-based blockchain database as a novel approach to the problem of data decentralization. Our design integrates data into individual UTxOs to achieve true decentralization of data ownership that can be securely transferred and traded, similar to how the regular monetary UTxOs are protected by the underlying blockchain's decentralization protocol. Additionally, SpendableDB provides cryptographically secured data integrity and immutable data lineage that can be easily verified. Our implementation and experiments show that our design is economically practical as it incurs a small amount of blockchain transaction fees. Bio: Yinan Zhou is a second-year Ph.D. student in the Computer Science Department at UC Irvine. His primary research focus is on blockchain infrastructure and application developments.

Lukasz Golab (U. Waterloo) Understanding models and the data they learn from Abstract: The modern world is powered by data. However, as the capabilities of data-intensive systems grow, so does […]

Abstract: In this talk, we will discuss the evolution of Amazon Redshift over the past 10 years. We’ll discuss the Amazon Redshift architecture. We’ll dive deep in the lifecycle of […]

Abstract: As leveraging large-scale data analytics becomes the norm for many applications, platforms for developing these capabilities have become increasingly important. This work compares the benefits and drawbacks of implementing […]

Abstract:  Cardinality estimates are a primary input to query optimizers to determine an appropriate join order. The seminal AMS sketch can estimate the cardinality of an equi-join between two relations […]

Abstract The inception of Bitcoin and blockchain has renewed the vision of a democratic and decentralized computational paradigm, that is, to ingrain integrity, transparency, and accountability into the very fabric […]

Enhance, Don't Replace: A Recipe for Success in Data Tooling Abstract: Most data analysis and data science is performed in human-centered tools, such as spreadsheets, visual analytics tools, and data science […]