项目作者: SparklineData

项目描述 :
Sparkline BI Accelerator通过逻辑多维数据集提供快速的即席查询功能。这已被纳入我们的SNAP平台(http://bit.ly/2oBJSpP),这是Apache Spark上的集成BI平台。
高级语言: Scala
项目地址: git://github.com/SparklineData/spark-druid-olap.git


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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