[DB Seminar] Spring 2019 Reading Group: Gustavo Angulo

Gus will present the following paper in this seminar: Title: SageDB: A Learned Database System Authors: Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Jialin Ding, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan Read More

Prof. Andy Pavlo wins 2019 NSF CAREER Award

Pittsburgh, Pennsylvania — Complacency is our biggest enemy. It lulls the mind into laziness. It makes us not question how things should be because we take for granted that this how things have always been done. This is especially true in databases where the market is established and well-endowed incumbents are entrenched. Thus, it takes resolution and pluck to challenge this world and strive for something better. With this in mind, the CMU Database Group is pleased to announce that Read More

Spring 2019: Alex Ratner (Stanford)

One of the key bottlenecks in building machine learning systems is creating and managing the massive training datasets that today’s models learn from. In this talk, I will describe my work on data management systems that let users specify training datasets in higher-level, faster, and more flexible ways, leading to applications that can be built in hours or days, rather than months or years. I will start by describing Snorkel, an open-source system for programmatically labeling training data that has Read More

[DB Seminar] Spring 2019 Reading Group: Matt Butrovich

Matt will present the following paper in this seminar: Title: Concurrent Prefix Recovery: Performing CPR on a Database Authors: Guna Prasaad, Badrish Chandramouli, Donald Kossmann Read More

[DB Seminar] Spring 2019 Reading Group: Tianyu Li

Tianyu will present this paper in this meeting: Title: Faster: A Concurrent Key-Value Store with In-Place Updates Authors: Badrish Chandramouli , Guna Prasaad , Donald Kossmann , Justin Levandoski , James Hunter , Mike Barnett Read More

Spring 2019: Natacha Crooks (UT Austin)

Modern applications must collect and store massive amounts of data. Cloud storage offers these applications simplicity: the abstraction of a failure-free, perfectly scalable black-box. While appealing, offloading data to the cloud is not without challenges. Cloud storage systems often favour weaker levels of isolation and consistency. These weaker guarantees introduce behaviours that, without care, can break application logic. Offloading data to an untrusted third party like the cloud also raises questions of security and privacy. This talk summarises my efforts Read More

[DB Seminar] Spring 2019 Reading Group: Lin Ma

Lin will present this work in this meeting: Title: Automatically Indexing Millions of Databases in Microsoft Azure SQL Database Authors: Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek R. Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri Read More

Spring 2019: Monte Zweben (Splice Machine)

This talk describes the Splice Machine Data Platform designed to power today’s new class of Operational AI applications that require high scalability and high-availability while simultaneously executing OLTP, OLAP and ML workloads. Splice Machine is a full ANSI SQL database that is ACID compliant, supports secondary indexes, constraints, triggers, and stored procedures. It uses a unique, distributed snapshot isolation algorithm that preserves transactional integrity, and avoids the latency of 2PC methods. The talk will present how the optimizer automatically evaluates Read More

[DB Seminar] Spring 2019 Reading Group: Prashanth Menon

Prashanth will present the following paper in this meeting: Title: Thriving in the No Man’s Land between Compilers and Databases Authors: Holger Pirk, Jana Giceva, Peter Pietzuch Read More

[DB Seminar] Spring 2019 Reading Group: Dana Van Aken

Dana will present the following paper in this meeting: Title: Automated Performance Management for the Big Data Stack Authors: Anastasios Arvanitis, Shivnath Babu, Eric Chu, Adrian Popescu, Alkis Simitsis, Kevin Wilkinson Read More