Oracle Autonomous Database is the industry's first self-driving, self-securing and self-repairing cloud database. It combines decades of database automation techniques and database infrastructure development, with the power of machine learning to deliver a fully autonomous database that revolutionizes data management, enabling enterprises to evolve from the role of builders and managers of databases to users of autonomous database cloud services... Read More

If you squint hard enough, many of the challenges of distributed computing appear similar to the work done by the great physicists. Dang, those fellows were smart! Here, I examine some of the most important physics breakthroughs and draw some whimsical parallels to phenomena in the world of computing... just for fun. Read More

We introduce the Visual Data Management System (VDMS), which enables faster access to big-visual-data and adds support to visual analytics. This is achieved by searching for relevant visual data via metadata stored as a graph, and enabling faster access to visual data through new machine-friendly storage formats. VDMS differs from existing large scale photo serving, video streaming, and textual big-data... Read More

The relational schema of a table in a database management system (DBMS) describes its logical attribute information and constraints. Despite the aim of separation between logical schema and physical data storage, in practice, the schema often dictates how a DBMS organizes data on disk or in memory. This tight coupling is because the database's physical schema must match its logical... Read More

SAP's HANA data management platform was architected from the ground up to leverage modern hardware technologies including large main memories, multi-core parallelism, SIMD architectures and vector processing, and to exploit software-hardware co-innovation. SAP HANA supports novel and existing applications with dramatically faster queries, access to up-to-date business data, and greatly simplified database administration. In this talk, we'll describe some key... Read More

Amazon Redshift is a fast, fully managed, large-scale data warehouse solution that makes it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. In this talk we are going to dive into Redshift's architecture and talk about how we leverage fleet telemetry in order to prioritize the whole development process and to make Redshift... Read More

Tianyu Li is the top prospect for database graduate student applications in the 2019 admissions season (ranked #1 "Database Quarterly", #1 "DB All Stars 2019", #1 "ESPN"). He has been admitted to many of the top database Ph.D. programs: Berkeley, CMU, MIT, Stanford, Columbia, Wisconsin, Washington, Maryland. After long deliberation, Tianyu will be announcing his selection on April 15th @... Read More

Chenyao will present this paper in this meeting: Title: Noria: dynamic, partially-stateful data-flow for high-performance web applications Authors: Jon Gjengset, Malte Schwarzkopf, Jonathan Behrens, Lara Timbo Araujo, Martin Ek, Eddie Kohler, M. Frans Kaashoek, Robert Morris Read More

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 Know Your Enemy Read More

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... Read More