fangjin

15 ms·

91.
Druid 0.9.0 Released(groups.google.com)
7 points by fangjin 11y ago|1 comments
92.
A Tour Through the “Big Data” Zoo(imply.io)
2 points by fangjin 11y ago|0 comments
93.
by fangjin 11y ago
FWIW, Imply repackaged Druid in such a way that should make it much much easier to set up and evaluate. We've been porting our docs over to Druid for 0.9.0: http://imply.io/docs/latest/quickstart There's
94.
by fangjin 11y ago
Druid has a SparkSQL connector: https://github.com/SparklineData/spark-druid-olap
95.
by fangjin 11y ago
Druid's main value add to the data infrastructure space is around power user-facing data applications at scale. The queries it is best at are OLAP/business intelligence style queries. It isn't really designed to be a general
96.
by fangjin 11y ago
Druid committer here. We spent a lot of time in the early days on making sure the system worked (at scale) and now we're spending more time to make it much easier to set up and manage.
97.
Caravel: Airbnb’s data exploration platform for Druid and SQL databases(medium.com)
2 points by fangjin 11y ago|0 comments
98.
by fangjin 11y ago
Druid ( http://druid.io/druid-powered.html ) is another option for similar workloads. Druid is a community-led open source data store used by many technology companies at very large scale. Comes with multiple visualization&#x
99.
Architecting Druid for failure(oreilly.com)
1 points by fangjin 11y ago|0 comments
100.
How you should report issues in open source projects(github.com)
1 points by fangjin 11y ago|0 comments
101.
Leveraging Druid Capabilities in Stand-Alone Applications(ebaytechblog.com)
3 points by fangjin 11y ago|0 comments
102.
Yahoo open sources Data Sketches – approximate algorithms for Druid and Hadoop(venturebeat.com)
1 points by fangjin 11y ago|0 comments
103.
Data Sketches – Fast, Approximate Analysis of Big Data for Hadoop and Druid(yahooeng.tumblr.com)
32 points by fangjin 11y ago|0 comments
104.
Architecting Distributed Databases for Failure(imply.io)
1 points by fangjin 11y ago|0 comments
105.
Architecting Distributed Databases for Failure(imply.io)
1 points by fangjin 11y ago|0 comments
106.
Architecting Distributed Databases for Failure(imply.io)
2 points by fangjin 11y ago|0 comments
107.
Architecting Distributed Databases for Failure(imply.io)
2 points by fangjin 11y ago|0 comments
108.
by fangjin 11y ago
Hi Evan, the user groups ( https://groups.google.com/forum/#!forum/druid-user ) are very active and if you post your issue there, I"m sure someone could help.
109.
by fangjin 11y ago
The logo draws its origins from mathematics :) http://mathworld.wolfram.com/Implies.html
110.
A Tour Through the “Big Data” Zoo(imply.io)
2 points by fangjin 11y ago|0 comments
111.
Our story about our Lambda Architecture(whynosql.com)
1 points by fangjin 11y ago|0 comments
112.
Beginner's Guide to Open Source Data Systems(imply.io)
1 points by fangjin 11y ago|0 comments
113.
Our story about our Lambda Architecture(whynosql.com)
3 points by fangjin 11y ago|0 comments
114.
A Tour Through the “Big Data” Zoo(imply.io)
1 points by fangjin 11y ago|0 comments
115.
Our story about our Lambda Architecture with Druid(whynosql.com)
2 points by fangjin 11y ago|0 comments
116.
A Tour Through the “Big Data” Zoo(imply.io)
1 points by fangjin 11y ago|0 comments
117.
Lambda Architecture with Druid at GumGum(whynosql.com)
1 points by fangjin 11y ago|0 comments
118.
Lambda Architecture with Druid at GumGum(whynosql.com)
3 points by fangjin 11y ago|0 comments
119.
A Tour Through the “Big Data” Zoo(imply.io)
2 points by fangjin 11y ago|0 comments
120.
Lambda Architecture with Druid at GumGum(whynosql.com)
2 points by fangjin 11y ago|0 comments

More ›