• Save

Consistency in Distributed Systems

on

  • 537 views

A stable data model provides numerous advantages in developing Big Data and NoSQL systems, especially when sharing data over the cloud. Adopting an immutable model eases much of the pain of achieving ...

A stable data model provides numerous advantages in developing Big Data and NoSQL systems, especially when sharing data over the cloud. Adopting an immutable model eases much of the pain of achieving consistency, especially at great scale. There can be trade-offs however that you need to be aware of.

This webinar will present details and examples of immutable data models as applied to various NoSQL systems, including MongoDB, Cloudant, Riak and Cassandra. The emphasis will be on the impact to application designers and architects, as well as the technical trade-offs and advantages. The discussion will be well-grounded in real world examples from within and beyond the enterprise.

Statistics

Views

Total Views
537
Views on SlideShare
202
Embed Views
335

Actions

Likes
1
Downloads
0
Comments
0

3 Embeds 335

http://www.dataversity.net 317
http://feedly.com 13
http://www.feedspot.com 5

Accessibility

Categories

Upload Details

Uploaded via

Usage Rights

CC Attribution-NonCommercial-NoDerivs LicenseCC Attribution-NonCommercial-NoDerivs LicenseCC Attribution-NonCommercial-NoDerivs License

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment