spark-druid-olap

Sparkline BI Accelerator provides fast ad-hoc query capability over Logical Cubes. This has been folded into our SNAP Platform(http://bit.ly/2oBJSpP) an Integrated BI platform on Apache Spark.

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Sparkline BI Accelerator

Latest release: 0.4.0
Documentation: Overview, Quick Start Guide, User Guide, Dev. Guide
Mailing List: User Mailing List
License: Apache 2.0
Continuous Integration: Build Status
Company: Sparkline Data

The Sparkline BI Accelerator is a Spark native Business Intelligence Stack geared towards providing fast ad-hoc querying over a Logical Cube(aka Star-Schema). It simplifies how enterprises can provide
an ad-hoc query layer on top of a Hadoop/Spark(Big Open Data Stack).

  • we provide the ad-hoc query capability by extending the Spark SQL
    layer, through SQL extensions and an extended Optimizer(both
    logical and Physical optimizations).
  • we use OLAP indexing vs. pre-materialization as a technique to
    achieve query performance. OLAP Indexing is a well-known technique
    that is far superior to materialized views to support ad-hoc
    querying. We utilize another Open-Source Apache licensed Big Data component
    for the OLAP Indexing capability.

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Overview
Name With Ownerhbutani/spark-druid-olap
Primary LanguageScala
Program languageScala (Language Count: 2)
Platform
License:Apache License 2.0
所有者活动
Created At2015-07-09 02:00:39
Pushed At2018-08-03 22:49:53
Last Commit At2018-08-03 15:49:44
Release Count8
Last Release Namev0.4.1 (Posted on )
First Release Name0.0.3 (Posted on )
用户参与
Stargazers Count282
Watchers Count48
Fork Count91
Commits Count378
Has Issues Enabled
Issues Count61
Issue Open Count0
Pull Requests Count5
Pull Requests Open Count0
Pull Requests Close Count5
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