stratos.seas.harvard.edu
NoDB: Efficient Query Execution on Raw Data Files | Stratos Idreos
http://stratos.seas.harvard.edu/publications/nodb-efficient-query-execution-raw-data-files-0
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. NoDB: Efficient Query Execution on Raw Data Files. I Alagiannis, R. Borovica, M. Branco, S. Idreos, and A. Ailamaki, NoDB: Efficient Query Execution on Raw Data Files. Communications of the ACM, Research Highlights, 2015. Last updated on 03/26/2015. Data systems that are easy to design. DB Kernels that Require No Tuning. Faculty Job Interviewing Vs. Getting Married.
stratos.seas.harvard.edu
Bio | Stratos Idreos
http://stratos.seas.harvard.edu/biocv
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. Stratos Idreos is an assistant professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences. He leads DASlab. Data systems that are easy to design. DB Kernels that Require No Tuning. Faculty Job Interviewing Vs. Getting Married. So what is a column-store?
stratos.seas.harvard.edu
Overview of Data Exploration Techniques | Stratos Idreos
http://stratos.seas.harvard.edu/publications/overview-data-exploration-techniques
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. Overview of Data Exploration Techniques. S Idreos, O. Papaemmanouil, and S. Chaudhuri, Overview of Data Exploration Techniques. In Proceedings of the ACM SIGMOD International Conference on Management of Data, Tutorial, Melbourne, Australia, 2015. Last updated on 03/25/2015. Data systems that are easy to design. DB Kernels that Require No Tuning. So what is a column-store?
stratos.seas.harvard.edu
Service | Stratos Idreos
http://stratos.seas.harvard.edu/service
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. Member of the ACM SIGMOD Board. Chair, Reproducibility, ACM SIGMOD. International Conference on Management of Data, 2015-. Workshops Chair, Intern. Conf. on Extending Database Technology ( ICDE. Chair, Sponsorship, ACM SIGMOD. International Conference on Management of Data, 2016-17. Vice Chair, Intern. Conf. on Extending Database Technology ( ICDE. San Diego, 2017. IEEE International Conf...
stratos.seas.harvard.edu
Queriosity: Automated Data Exploration | Stratos Idreos
http://stratos.seas.harvard.edu/publications/queriosity-automated-data-exploration
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. Queriosity: Automated Data Exploration. A Wasay, M. Athanassoulis, and S. Idreos, Queriosity: Automated Data Exploration. In Proceedings of the IEEE International Congress on Big Data, New York, USA, 2015. Last updated on 05/04/2015. Data systems that are easy to design. DB Kernels that Require No Tuning. Faculty Job Interviewing Vs. Getting Married. So what is a column-store?
stratos.seas.harvard.edu
So what is a column-store? | Stratos Idreos
http://stratos.seas.harvard.edu/blog/so-what-column-store
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. So what is a column-store? January 9, 2014. If you have some connection to data management (business, research, etc.) there are good chances you heard the term "column-store". It contains discussion and examples about how data is stored, accessed, details about system architecture and of course the history of how we came to this point. Blog posts by month.
stratos.seas.harvard.edu
Talks | Stratos Idreos
http://stratos.seas.harvard.edu/presentations
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. Database Architectures for Big Data Exploration. At Keynote in French Database Conference, October, 2013. Read more about Database Architectures for Big Data Exploration. Database Cracking and the Path Towards Auto-tuning Database Kernels. At Faculty Job Talk, Spring 2013. Read more about Database Cracking and the Path Towards Auto-tuning Database Kernels. Touch, Crack and Explore.
stratos.seas.harvard.edu
dbTouch: Analytics at your Fingertips | Stratos Idreos
http://stratos.seas.harvard.edu/publications/dbtouch-analytics-your-fingertips
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. DbTouch: Analytics at your Fingertips. S Idreos and E. Liarou, dbTouch: Analytics at your Fingertips. In Proceedings of the 7th International Conference on Innovative Data Systems Research (CIDR), Asilomar, California, 2013. Last updated on 12/21/2013. Data systems that are easy to design. DB Kernels that Require No Tuning. Faculty Job Interviewing Vs. Getting Married.
stratos.seas.harvard.edu
Holistic Indexing in Main-memory Column-stores | Stratos Idreos
http://stratos.seas.harvard.edu/publications/holistic-indexing-main-memory-column-stores
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. Holistic Indexing in Main-memory Column-stores. E Petraki, S. Idreos, and S. Manegold, Holistic Indexing in Main-memory Column-stores. In Proceedings of the ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015. Last updated on 03/26/2015. Data systems that are easy to design. DB Kernels that Require No Tuning. So what is a column-store?
stratos.seas.harvard.edu
Data systems that are easy to design | Stratos Idreos
http://stratos.seas.harvard.edu/blog/data-systems-are-easy-design
Skip to main content. Harvard John A. Paulson. School of Engineering and Applied Sciences. Research Lab and Students. Data systems that are easy to design. June 17, 2015. This post was invited at the ACM SIGMOD Blog. It provides some initial discussion on one of our new projects at DASlab about self-designing data systems. We keep designing new data systems over and over again. We ask two questions in this post: 1) Is this sustainable in the long term? 2) Can we make this process faster? Problem 2: How m...
