New workshop on MacroBase SQL extensions now available -- feedback welcome!
Four short papers to appear at SysML 2018!
SysML 2018 (February 15-16th at Stanford) sold out in 3 minutes!
Post on Cuckoo Hashing and learned indexes on the DAWN blog.
Wrapped up CS145 -- course materials available online.
New MacroBase website and logo now online.
Talks on DAWNBench and MacroBase at ML Systems workshop.
Google joins DAWN as a founding member -- welcome and thank you for your support!
Paper on DAWNBench to appear at NIPS ML Systems workshop in December.
New pre-print with Kai Sheng Tai, Vatsal Sharan, and Greg Valiant on finding heavily-weighted features in data streams using sketches.
Poster on DAWNBench deep learning benchmarking efforts appeared at SOSP AISys workshop in Shanghai!
Talk on DAWN and MacroBase at Teradata Partners 2017 in Anaheim.
Over 350 students enrolled in our Intro DB (CS145) course at Stanford!
Many thanks to the Okawa Foundation for awarding the 2017 Okawa Research grant!
A great kickoff for the DAWN project, and exciting updates to the project site -- over 24 papers this year to date, spanning visualization and ML to new hardware accelerators! Many thanks to our generous founding members for their continued support.
Posted NoScope slides from VLDB 2017.
New blog post on learning sparse models with random projections and compressive sensing.
New results with collaborators in seismology arising from our ongoing project on efficient similarity search in time series (SCEC poster).
New blog post on automatic time series smoothing with ASAP (VLDB 2017).
NoScope repo updated with tutorial and docs!
New arXiv preprint on DROP: Dimensionality Reduction OPtimization via PCA and progressive sampling
MacroBase: Prioritizing Attention in Fast Data received a "Best of SIGMOD 2017" citation! Thanks, Dan and SIGMOD PC!
NoScope (optimizing CNN-based video analytics via specialization) accepted to VLDB 2017!
Thanks to NetApp for awarding a NetApp Faculty Fellowship to support our work on prioritizing attention in fast data streams!
New work with Vatsal Sharan, Kai Sheng Tai, and Greg Valiant on learning sparse models by exploiting sparsity now on arXiv!
New blog post on accelerating neural network inference over video with NoScope
ASAP -- automatic smoothing for time-series visualization -- accepted to VLDB 2017. See you in Munich!
Kexin's Monitorama 2017 talk on time series smoothing is now online!
New arXiv pre-print on speeding up matrix factorization serving by up to 6x: should you build an index or just call BLAS? SimDex can answer.
Three PhD students join Future Data Systems! Welcome Cody Coleman, Daniel Kang, and Kai Sheng Tai.
DAWN project whitepaper on systems for usable ML now available on arXiv.
Slides and video for Edward's SIGMOD 2017 talk on fast Kernel Density Classification now online.
Thanks to the ACM for awarding an honorable mention for the ACM Doctoral Dissertation Award! This is a real honor.
Slides for Todd's ACIDRain talk at SIGMOD 2017 posted!
Tickled to learn that Microsoft Azure CosmosDB provides consistency predictions using Probabilistically Bounded Staleness! Thanks to Andy Pavlo for the tip.
Big week at SIGMOD 2017: three paper talks (MacroBase, tKDE, ACIDRain), a New Researcher Symposium talk/rant, and a Jim Gray Dissertation Award talk.
Two talks accepted to Strata NYC: Sahaana on MacroBase (9/28) and Daniel on NoScope 9/26. See you in Manhattan!
Headed to the Asilomar Microcomputer Workshop in Monterey? Catch Kexin Rong's talk on MacroBase on Thursday. Thanks to our friends at Intel for organizing this session on "Highway to (Robot Car) Hell".
Thanks to ACM SIGMOD for awarding the 2017 Jim Gray Doctoral Dissertation Award; extremely grateful for wonderful collaborators and mentors.
DAWN Project site online!
Three papers to appear at SIGMOD 2017: i) MacroBase architecture, ii) accelerated classification based on Kernel Density Estimation, iii) security vulnerabilities in transactional web applications!
New preprint on optimizing CNN evaluation over video streams with students and Matei Zaharia—3200x YOLO evaluation (8500x real time)!
ASAP demo and preprint posted!
MacroBase demo to appear at SIGMOD 2017!
Kexin is headed to Monitorama 2017 to talk about streaming time-series visualization
Hitachi visiting scholar Masahito Togami joins Future Data for the year!
Prioritizing Attention in Fast Data: Principles and Promise, CIDR 2017, now available!
Thanks to Keysight Technologies for supporting our research through the Stanford SystemX Alliance!
Continued progress on an absolute ton of research in the pipeline. Many submissions in the works; please feel free to ping.
Our paper on challenges and opportunities in prioritizing attention in fast data streams will appear at CIDR 2017 in January. See you in Santa Cruz!
Thanks to Facebook for beginning to support our research in the Future Data Systems group!
The third installment of Research for Practice is now online at ACM Queue!
Our paper on MacroBase's core architecture will appear at SIGMOD 2017! Congratulations to the students on a first-round acceptance without revisions.
Welcome to our fall quarter rotators! Exciting new projects on speeding up video classification and unsupervised anomaly detection in fast data streams.
New post on MacroBase on the MIT ISTC Big Data blog.
Honored to receive an inaugural Faculty Research Award from VISA! Thank you for supporting our research on MacroBase.
Tentative schedule for CS345S: Data-Intensive Systems for the Next 1000x (1000x.io) (August 2016) posted!
Professor Matei Zaharia and co-advisee Firas Abuzaid join Stanford CS and the Infolab. Welcome to campus, and here's to many more years of great research collaboration!
New MacroBase results on the arXiv, including new results from production, video monitoring, time-series analysis.
I talked about the Infolab and Future Data Systems on the Software Engineering Daily podcast.
New video interview with Data By The Bay.
Newest issue of Research for Practice is up on ACM Queue.
What's MacroBase about? We've posted a one-page overview.
Many thanks to VMWare for supporting Future Data Systems via an Early Career Faculty Award!
Excited to unveil Research for Practice: expert-curated guides to the best of CS research in ACM Queue/CACM! Keep on the lookout for more issues.
Growing excitement around MacroBase: UI upgrades, new time-series feature transforms, many talks and industrial use cases. Stay tuned for updates on the arXiv.
Officially started at Stanford as an assistant professor of Computer Science! Onwards and upwards!
I posted my talk transcript from NorCal DB Day, about the future of data management tools and what databases can learn from Le Corbusier.
I wrote about getting started in research.
I talked at Papers We Love Boston about "Streaming Queries over Streaming Data" (from VLDB 2002). Slides here.
Lots of activity on MacroBase. Welcome to our Future Data Systems Spring quarter rotators!
Thanks to RWE for supporting Future Data Systems via our work in the Stanford Data Science Institute, and welcome to Hans-Martin Hellebrand and Andreas Berger, visiting scholars in our group from RWE!
I'm talking about MacroBase next month at the Stanford Computer Forum's Annual Meeting on April 12th.
I'm thrilled to join my colleagues as part of the Secure Internet of Things project.
New paper draft on our MacroBase engine: analytic monitoring for IoT.
I wrote a post on lean research.
I'm honored to be included in the 2016 Forbes 2016 "30 under 30" in Enterprise Technology. Thanks, Forbes!
I wrote a new post on why I enjoyed graduate school.
Our research group site is live!
Readings in Database Systems, 5th Edition, co-edited with Joe Hellerstein and Mike Stonebraker is now online at redbook.io.
I'm talking at GOTO Chicago in May 2016.
Thanks to Toyota for generously supporting our ongoing research on systems for scalable anomaly detection.
I'm excited to join the editorial board of ACM Queue and help lead a new section on research in practice.
I've posted my Ph.D. thesis! Many thanks to all who helped make this possible.
We posted a write-up of our experiences and thoughts regarding asynchronous distributed optimization within a dataflow framework on the arXiv.
I talked at StrangeLoop about "When Worst is Best (in Distributed Systems Design)"; check out the deck and video!
I'm looking for graduate students!
In light of upcoming graduate student fellowship deadlines, I posted about and shared my NSF GRFP materials.
Posted slide decks from MesosCon (keynote video) and SIGMOD on coordination-avoiding systems design and concurrency control in open source applications.
Relocated to Cambridge, MA for the year.
I'm giving a keynote at MesosCon 2015 (August 20-21 in Seattle) on "Silence is Golden: Coordination-Avoiding Systems Design."
I'll be spending next year visiting the MIT CSAIL DB and systems groups.
I'll be speaking at Strange Loop 2015 (September 24-26 in St. Louis) on "When Worst is Best (in Distributed Systems Design)."
Accepted a tenure-track assistant professor position with Stanford Computer Science!