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Doc - Replication Refactor - Part 1 (#4555)
Next steps after DC2DC and Cluster doc improvements:

- We refactor replication sections and make more intuitive separation between Master/Slave and the new Active Failover in 3.3
- We create corresponding sections for Master/Slave and Active Failover in the Administration and Deployment chapters, as well as in the Scalability chapter, where these "modes" are introduced
- We touch and improve the "Architecture" chapter as well, where some architecture info have to be placed
- We reorg the TOC having in more "logical" order:
-- Deployment
-- Administration
-- Security
-- Monitoring
-- Troubleshooting
- We adds parts in the TOC
- We add toc per pages, using page-toc plugin
- We also put close together "Scalability" and "Architecture" chapters, preliminary steps of further improvements / aggregation
- We improve swagger

Internal Ref:
- https://github.com/arangodb/planning/issues/1692
- https://github.com/arangodb/planning/issues/1655
- https://github.com/arangodb/planning/issues/1858
- https://github.com/arangodb/planning/issues/973 (partial fix)
- https://github.com/arangodb/planning/issues/1498 (partial fix)
2018-02-28 12:23:19 +01:00
..
Collections Doc - Adds toc plugin (#4577) 2018-02-13 19:04:32 +01:00
Databases Doc - Replication Refactor - Part 1 (#4555) 2018-02-28 12:23:19 +01:00
Documents Doc - Adds toc plugin (#4577) 2018-02-13 19:04:32 +01:00
NamingConventions rename .mdpp files to .md so the handling is easier. 2017-05-04 12:04:24 +02:00
Views Doc - ArangoSearch - Fix broken link (#4591) 2018-02-14 21:02:46 +01:00
Concepts.md Tie up loose ends in the iresearch documentation (#4100) 2017-12-19 13:53:57 +01:00
GraphsVerticesEdges.md rename .mdpp files to .md so the handling is easier. 2017-05-04 12:04:24 +02:00
README.md rename .mdpp files to .md so the handling is easier. 2017-05-04 12:04:24 +02:00

README.md

Data models & modeling

This chapter introduces ArangoDB's core concepts and covers

  • its data model (or data models respectively),
  • the terminology used throughout the database system and in this documentation, as well as
  • aspects to consider when modeling your data to strike a balance between natural data structures and great performance

You will also find usage examples on how to interact with the database system using arangosh, e.g. how to create and drop databases / collections, or how to save, update, replace and remove documents. You can do all this using the web interface as well and may therefore skip these sections as beginner.