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Using Tableau with Sparkline
hbutani edited this page Aug 4, 2016
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Tableau is a popular analyst B.I tool and when connected to Spark and Druid becomes even more powerful.
- Connect Tableau to live data in Hadoop, S3, Druid.
- Use Tableau functions as you would with any other data source and leverage the speed of Druid and Flexibility of Spark.
See complete details of setting up the demo .
- Overview
- Quick Start
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User Guide
- [Defining a DataSource on a Flattened Dataset](https://github.com/SparklineData/spark-druid-olap/wiki/Defining-a Druid-DataSource-on-a-Flattened-Dataset)
- Defining a Star Schema
- Sample Queries
- Approximate Count and Spatial Queries
- Druid Datasource Options
- Sparkline SQLContext Options
- Using Tableau with Sparkline
- How to debug a Query Plan?
- Running the ThriftServer with Sparklinedata components
- [Setting up multiple Sparkline ThriftServers - Load Balancing & HA] (https://github.com/SparklineData/spark-druid-olap/wiki/Setting-up-multiple-Sparkline-ThriftServers-(Load-Balancing-&-HA))
- Runtime Views
- Sparkline SQL extensions
- Sparkline Pluggable Modules
- Dev. Guide
- Reference Architectures
- Releases
- Cluster Spinup Tool
- TPCH Benchmark