The Big Data ISTC: A Retrospection by Michael Stonebraker, Samuel Madden and Timothy Mattson
The Big Data ISTC is a research project sponsored by Intel that ran for five years (August 2012- August 2017). This blog post highlights some of the accomplishments and lessons learned during this period. Big data is usually categorized into … Continue reading →
VisualCloud: A DBMS for Virtual Reality
By Brandon Haynes, Artem Minyaylov, Magdalena Balazinska, Luis Ceze and Alvin Cheung of the University of Washington Our ability to collect videos en masse can revolutionize how we interact with the world by enabling powerful virtual reality (VR) video applications … Continue reading →
ISTC Releases Open Source Code for S-Store Transactional Streaming System
By John Meehan and Stan Zdonik, Brown University & Nesime Tatbul, Intel Labs and MIT Today, the ISTC for Big Data released the first version of our S-Store transactional stream processing system. S-Store is open-source software and available for download … Continue reading →
Intel and the ISTC for Big Data (2012-2017): A Powerful Collaboration
By Jeff Parkhurst, Ph.D. and Timothy G. Mattson, Ph.D., Intel The year 2012 was arguably the year that Big Data went mainstream. Data was being hailed as a new class of economic asset, similar to currency or gold, from the … Continue reading →
ISTC Researchers Present Work at NEDB Day 2017
ISTC for Big Data principal investigators, researchers and their students presented work at North East Database Day 2017, held at MIT’s Stata Center in Cambridge, Mass., on January 27, 2017. Microsoft and Facebook sponsored the event. The 9th Annual North East … Continue reading →
Analytic Monitoring for the Internet of Things
By Peter Bailis, Stanford Infolab, and Sam Madden, MIT CSAIL An increasing proportion of data today is generated by automated processes, sensors and devices—collectively called the Internet of Things (IoT). Inexpensive hardware, widespread access to communication networks, and decreased … Continue reading →
Genomics Data, Analytics and the Future of Climate Change
By Vijay Gadepally, MIT CSAIL, in collaboration with the Chisholm Laboratory at MIT Meet Prochlorococcus marinus, a marine cyanobacterium that’s intricately linked to the global carbon cycle, widely present in seawater, and possibly holds secrets to future climate change. These … Continue reading →
Rethinking Streaming: Correct State Matters!
by Nesime Tatbul, Intel Labs and MIT CSAIL; Kristin Tufte, Portland State University; and Stan Zdonik, Brown University Stream processing has largely been thought of as real-time analytics. Data enters the system as streams and analytic functions (aggregates) are computed on the … Continue reading →
Just-in-time Data Transformation and Migration in Polystores
by Aaron Elmore and Adam Dziedzic, University of Chicago Organizations face managing and deriving value from an ever-growing amount of data. Beyond its size, this data is often varied in both structure (e.g., relational data, linked data, numerical data and streaming data) … Continue reading →
ISTC for Big Data Researchers Present at NEDB Day 2016
ISTC for Big Data principal investigators and researchers presented a broad base of research at North East Database Day 2016, which was sponsored by Microsoft and held at MIT’s Stata Center in Cambridge, Mass., January 28, 2016. The 8th Annual North … Continue reading →
What’s New
- The Big Data ISTC: A Retrospection by Michael Stonebraker, Samuel Madden and Timothy Mattson
- In-Database Analytics for Large Array Data
- ISTC Researchers to Present Papers at VLDB 2017 Conference
- VisualCloud: A DBMS for Virtual Reality
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