Tag Archives: Data Management

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

Posted in Analytics, Benchmarks, Big Data Applications, Big Data Architecture, Data Management, Databases and Analytics, DBMS, ISTC for Big Data Blog, Polystores, Query Engines, Storage, Streaming Big Data, Tools for Big Data, Visualizing Big Data | Tagged , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

ISTC Researchers to Present Papers at VLDB 2017 Conference

ISTC for Big Data principal Investigators, researchers, and their students will present a number of papers at the 2017 International Conference on Very Large Databases (VLDB 2017) in Munich, Germany, August 28-September 1, 2017.  (To read any of the papers, … Continue reading

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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

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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

Posted in Benchmarks, Big Data Architecture, Data Management, Databases and Analytics, ISTC for Big Data Blog, Polystores, Streaming Big Data, Tools for Big Data, Visualizing Big Data | Tagged , , , , , , , , | Leave a comment

NVMRocks: RocksDB on Non-Volatile Memory Systems

By Jianhong Li (CMU), Andrew Pavlo (CMU), and Siying Dong (Facebook) Non-volatile memory (NVM) has been a game-changing memory technology. In contrast to traditional block-based durable storage devices, it provides low latency comparable to DRAM and byte-addressability. Although NVM is … Continue reading

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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

Posted in Big Data Architecture, Data Management, ISTC for Big Data Blog, Polystores | Tagged , , , , , , , , , , , | Leave a comment

Polystore Databases to be Examined at IEEE, CIDR Conferences

Polystores, a more-modern approach to sharing heterogeneous data that addresses Big Data’s volume, variety and velocity demands, will be the topic of discussion at two upcoming conferences: The first IEEE Workshop on Methods to Manage Heterogeneous Big Data and Polystore Databases, … Continue reading

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PipeGen: A Data Pipe Generator for Hybrid Analytics

By Brandon Haynes, Alvin Cheung, and Magdalena Balazinska, University of Washington As the number of big data management systems continues to grow, users increasingly seek to leverage multiple systems in the context of a single data analysis task. A critical challenge … Continue reading

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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

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Simplifying and Scaling Data Discovery

By Raul Castro Fernandez, MIT CSAIL People who need access to data for their jobs are spending more and more time searching for data of interest to the task at hand. This is particularly true for data-driven companies, where the … Continue reading

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