Loading...
Please wait, while we are loading the content...
Similar Documents
"Big Metadata": The Need for Principled Metadata Management in Big Data Ecosystems
| Content Provider | ACM Digital Library |
|---|---|
| Author | Greer, Mary Rosenthal, Arnon Eckstein, Adric Seligman, Len Sexton, Michael Smith, Ken Macheret, Catherine Kurcz, Chris |
| Abstract | Current big data ecosystems lack a principled approach to metadata management. This impedes large organizations' ability to share data and data preparation and analysis code, to integrate data, and to ensure that analytic code makes compatible assumptions with the data it uses. This use-case paper describes the challenges and an in-progress effort to address them. We present a real application example, discuss requirements for "big metadata" drawn from that example as well as other U.S. government analytic applications, and briefly describe an effort to adapt an existing open source metadata manager to support the needs of big data ecosystems. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450329972 |
| DOI | 10.1145/2627770.2627776 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-06-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Data discovery Data integration Metadata Big data analytics |
| Content Type | Text |
| Resource Type | Article |
