If you go back to the first single-cell form of life, it clearly possessed the capacity to receive, to utilize, to store, to transform, and to transmit information.
-- Dee Hock
Most of the informatin we use is in form of a list of some objects, e.g list of emails, contact list in mobile phone, events in calendar, items in eshop and so on. We usually use common operations to manipulate these data:
- CRUD operations
Most applications provide only some fraction of above features, because with current database systems they usually require extra effort by developer (which requires extra time and money, so vendors do not offer complete support).
Example google app store, youtube
aby měli jednotný rozhraní - příklad youtube, google play kontakty v mobilu
Warehouse.js and RQL
An ongoing effort to improve this situation includes implementation of Warehouse.js library.
Warehouse.js is a data storage layer for node.js and browser providing unified API for many supported storage engines (MongoDB, SQL, ElasticSearch, REST, in-memory and others). API provides functionality for CRUD operations and querying using Resource Query Language (RQL). Transformations can be done using MapReduce functionality.
- RDBMS, or Row-Oriented database
- Semantic net
- Column-Oriented databases
- Correlation databases
- Hierarchical model, Network model, Navigational database
- Object-Oriented databases
- Document based databases
Data management software
One product that came close to my vision was DabbleDB . However its development was discontinued and it is not available anymore.
There are also interesting ideas in discontinued product Lotus Agenda .
Data manipulation tools
There exist some useful tools for manipulating and cleaning large datasets.