-
Recent Posts
- Intel and the ISTC for Big Data (2012-2017): A Powerful Collaboration
- Solving the “One Concurrency Control Does Not Fit All” Problem for OLTP Databases
- Improving Clinical Decision-Making with Big Data
- ISTC Releases Open Source Code for BigDAWG Polystore System
- ISTC Researchers Present Work at NEDB Day 2017
Recent Comments
- ByungSoo on ModelDB: A System for Managing Machine Learning Models
- Andy Pavlo on NVMRocks: RocksDB on Non-Volatile Memory Systems
- Jeremy Werner on NVMRocks: RocksDB on Non-Volatile Memory Systems
- Vinod Iyengar on ModelDB: A System for Managing Machine Learning Models
- Manasi Vartak on ModelDB: A System for Managing Machine Learning Models
ISTC for Big Data Blog Archives
ISTC for Big Data Categories
- Analytics (48)
- Benchmarks (7)
- Big Data Applications (42)
- Big Data Architecture (73)
- Computer Architecture (17)
- Data Management (38)
- Databases and Analytics (50)
- DBMS (57)
- Graph Computation (13)
- High-Performance Computing (6)
- ISTC for Big Data Blog (119)
- Math and Algorithms (13)
- Polystores (12)
- Query Engines (10)
- Storage (11)
- Streaming Big Data (16)
- Tools for Big Data (38)
- Uncategorized (1)
- Visualizing Big Data (35)
Meta
Tag Archives: Medical Data
Improving Clinical Decision-Making with Big Data
An Interview with Peter Szolovits, MIT CSAIL Doctors, nurses and other healthcare professionals have always had to “read” and respond quickly to often-imperfect data under stressful circumstances. What has changed over time is the volume and types of data that … Continue reading
Posted in Big Data Applications, ISTC for Big Data Blog
Tagged Analytics, Big Data, Data Sets, Machine Learning, Medical Data, MIMIC II, MIMIC-III
Leave a comment
ISTC for Big Data 2016 Research Highlights
In 2016, ISTC for Big Data principal investigators, researchers and their students continued to break down the barriers to data analytics at scale, with creative new approaches and infrastructure software. Developments are being integrated into BigDAWG, the next-generation polystore architecture … 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
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
Posted in Analytics, Big Data Applications, Big Data Architecture, DBMS, ISTC for Big Data Blog, Polystores, Query Engines, Streaming Big Data, Tools for Big Data, Visualizing Big Data
Tagged Analytics, Array DBMS, Big Data, data federation, DBMS, Genomics, Medical Data, polystores, Query Processing, Visualization
Leave a comment
2015: Momentum, Moments and Memories
Greetings of the season from the Intel Science and Technology Center for Big Data. As 2015 comes to a close, we thought we would share some moments and memories that were captured here in the ISTC for Big Data blog … Continue reading
Posted in Analytics, Big Data Applications, Big Data Architecture, Data Management, Databases and Analytics, DBMS, High-Performance Computing, ISTC for Big Data Blog, Storage, Streaming Big Data, Visualizing Big Data
Tagged Analytics, Big Data, Data Management, Data Sets, DBMS, HCI, High-Performance Computing, in-memory databases, Intel, Many-core, Medical Data, NVM, OLTP, Query Processing, RDBMS, S-Store, Storage, Stream Processing, urban informatics, Visualization
Leave a comment
Medical Big Data Workshop Draws Computer Scientists, Clinicians
by Vijay Gadepally, MIT CSAIL and MIT Lincoln Laboratory Computer scientists and clinical researchers gathered at MIT CSAIL January 13 to participate in a half-day workshop and brainstorm new data sets and software to improve data-driven diagnosis and treatment. The … Continue reading
Posted in Big Data Applications, Big Data Architecture, ISTC for Big Data Blog
Tagged Big Data, Data Sets, Medical Data, MIMIC II
Leave a comment
ISTC for Big Data: 2015 and Beyond
By Sam Madden, ISTC for Big Data Co-Director Happy New Year, ISTC for Big Data blog readers! It’s been a busy year here at the ISTC for Big Data. In this post, I call out a few of our highlights … Continue reading
Posted in Analytics, Big Data Applications, Big Data Architecture, Data Management, Databases and Analytics, DBMS, Graph Computation, ISTC for Big Data Blog, Math and Algorithms, Streaming Big Data, Visualizing Big Data
Tagged Analytics, Array DBMS, Big Data, Data Management, DBMS, Graphs, Intel Labs, Medical Data, NVM, RDBMS, Software, Stream Processing, Visualization
Leave a comment
A Workshop: Unlocking the Power of Medical Big Data
On January 13, 2015, ISTC for Big Data researchers from MIT CSAIL will be leading a half-day workshop on using medical big data to improve medical diagnosis and treatment and to usher in a new generation of evidence-based medicine. The … Continue reading
Posted in Big Data Applications, ISTC for Big Data Blog
Tagged Big Data, Data Sets, Medical Data
Leave a comment
Medical Data and the Learning Healthcare System
By Tristan Naumann, PhD Candidate, MIT At the recent Intel Science and Technology Center for Big Data annual Research Retreat, Professor Peter Szolovits of MIT provided steps toward realizing the “learning healthcare system” described by the Institute of Medicine (IOM) of the … Continue reading
Posted in Analytics, Big Data Applications, ISTC for Big Data Blog
Tagged Analytics, Big Data, Data Sets, EHRs, Medical Data
Leave a comment
Building a New Application-to-Hardware Management Stack for Big Data
The Intel Science and Technology Center for Big Data partners – Intel Labs and its seven participating academic research institutions – recently unanimously agreed to focus their research on a pioneering effort: creating a new application-to-hardware big-data management stack. Unique in industry … Continue reading
