Databases
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* [http://www.loc.gov/preservation/resources/rfs/data.html Library of Congress Recommended Format Specifications: Datasets] | * [http://www.loc.gov/preservation/resources/rfs/data.html Library of Congress Recommended Format Specifications: Datasets] | ||
* [http://dataset.readthedocs.org/en/latest/ dataset: databases for lazy people (Python module)] | * [http://dataset.readthedocs.org/en/latest/ dataset: databases for lazy people (Python module)] | ||
| + | * [http://www-01.ibm.com/software/data/infosphere/biginsights/resources.html IBM Hadoop info] | ||
Revision as of 02:07, 19 August 2014
See also Serialization for methods of storing, exporting, importing, and transferring structured data.
Classes of databases:
Contents |
CODASYL databases
General databases
Hierarchical databases
ISAM (Indexed Sequential Access Method)
- Ability Database (.adb)
- Access (was also known as Jet)
- Extensible Storage Engine (ESE, EDB)
- Paradox
NoSQL databases
Object-oriented databases
Relational databases
- Derby
- HSQLDB
- IBM DB2
- Ingres
- MemSQL
- MySQL
- Oracle
- PostGRESQL
- SIARD
- SQL Anywhere
- SQLite
- Virtuoso
- Watcom SQL
Triplestores
XML databases
- BaseX
- Documentum xDB
- eXist-db
- MarkLogic
- Oracle XML DB
- Qizx
- Sedna
- Tamino
- TEXTML
- TigerLogic XDMS
- Xpriori XMS
- XQuantum
Uncategorized
Links
- Frictionless data
- Open Data Research Network
- Don't use Hadoop - your data isn't that big
- Why Proprietary Big Data Technologies Have No Hope Of Competing With Hadoop
- Social networks stick with MySQL
- From Punched Cards to "Big Data": A Social History of Database Populism
- If you move your mouse continually the query may not fail. Do not stop moving (that's Microsoft for you)
- Who's to blame for 'Daughter Killed in Car Crash' mailing sent to parents? Big Data.
- Big data: are we making a big mistake?
- Big data analysis to see what's missing from the national archives
- Terabyte index, search and faceting with Solr
- Library of Congress Recommended Format Specifications: Datasets
- dataset: databases for lazy people (Python module)
- IBM Hadoop info
