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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概覽
名稱與所有者hbutani/spark-druid-olap
主編程語言Scala
編程語言Scala (語言數: 2)
平台
許可證Apache License 2.0
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創建於2015-07-09 02:00:39
推送於2018-08-03 22:49:53
最后一次提交2018-08-03 15:49:44
發布數8
最新版本名稱v0.4.1 (發布於 )
第一版名稱0.0.3 (發布於 )
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