The Kepler DB: a database management system for arrays, sparse arrays, and binary data | Zendy

Sean McCauliff | Zendy; Miles T. Cote | Zendy; Forrest R. Girouard | Zendy; Christopher K. Middour | Zendy; Todd C. Klaus | Zendy; Bill Wohler | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

The Kepler DB: a database management system for arrays, sparse arrays, and binary data

Author(s) -

Sean McCauliff,

Miles T. Cote,

Forrest R. Girouard,

Christopher K. Middour,

Todd C. Klaus,

Bill Wohler

Publication year - 2010

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.856792

Subject(s) - kepler , computer science , pipeline (software) , binary number , relational database , database , pixel , operating system , artificial intelligence , computer vision , stars , arithmetic , mathematics

The Kepler Science Operations Center stores pixel values on approximately six million pixels collected every 30 minutes, as well as data products that are generated as a result of running the Kepler science processing pipeline. The Kepler Database management system (Kepler DB)was created to act as the repository of this information. After one year of flight usage, Kepler DB is managing 3 TiB of data and is expected to grow to over 10 TiB over the course of the mission. Kepler DB is a non-relational, transactional database where data are represented as one-dimensional arrays, sparse arrays or binary large objects. We will discuss Kepler DB's APIs, implementation, usage and deployment at the Kepler Science Operations Center.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research