tinycloud
5 views | +0 today
Follow
Your new post is loading...
Your new post is loading...
Rescooped by Jon Huang from BigData NoSql and Data Stuff
Scoop.it!

Elasticsearch's New Aggregations

Elasticsearch's faceting feature has made it extremely popular not just for realtime search, but also for analytics. With its new aggregations framework, it'll take you even further.

Via Alex Kantone
more...
Alex Kantone's curator insight, January 8, 2014 2:37 AM

Facets come in many forms and can be processed and visualized in many ways. Superfast faceting and filtering underpins usage of search engines for analytical purposes. We are not necessarily interested in finding the top n documents, but instead in what we can learn from filtering sets of results and seeing how e.g. histograms and charts change. The massively popular combination of Elasticsearch and Kibana for data crunching and visualization is an example of this kind of usage.

While facets are great and people are finding all sorts of creative ways of using them, they have some limitations. To deal with these limitations, Elasticsearch has engineered the new aggregations framework, which brings a whole new level of awesome.

Scooped by Jon Huang
Scoop.it!

Big data showdown: Cassandra vs. HBase | JavaWorld

Big data showdown: Cassandra vs. HBase | JavaWorld | tinycloud | Scoop.it
Cassandra and HBase have borrowed much from the original Bigtable definition. In fact, whereas Cassandra descends from both Bigtable and Amazon's Dynamo, HBase describes itself as an "open source Bigtable ...
more...
No comment yet.