Explore Geographical Relationhips in Cassandra Data with Power Map





Cassandra ODBC Driver

Apache Cassandra ODBC Driver は、ODBC 接続をサポートする様々なアプリケーションからApache Cassandra NoSQL データベースのリアルタイムデータ連携を実現するパワフルなツールです.

データベースにアクセスするときと同感覚でCassandra データにアクセスし、標準ODBC Driver インターフェースを通じてNoSQL テーブルに読み出し、書き込み、更新が可能に。

Create data visualizations with Cassandra data in Power Map.

The CData ODBC Driver for Cassandra is easy to set up and use with self-service analytics solutions like Power BI: Microsoft Excel provides built-in support for the ODBC standard. This article shows how to load the current Cassandra data into Excel and start generating location-based insights on Cassandra data in Power Map.

Create an ODBC Data Source for Cassandra

To connect to Cassandra data, your application will use connection properties defined in the data source name (DSN).

Below is a typical connection string:


You can configure the DSN in the built-in Microsoft ODBC Data Source Administrator. This is the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to use the Microsoft ODBC Data Source Administrator to create and configure a DSN for Cassandra data.

Import Cassandra Data into Excel

You can import data into Power Map either from an Excel spreadsheet or from Power Pivot. For a step-by-step guide to use either method to import Cassandra data, see the "Using the ODBC Driver" section in the help documentation.

Geocode Cassandra Data

After importing the Cassandra data into an Excel spreadsheet or into PowerPivot, you can drag and drop Cassandra entities in Power Map. To open Power Map, click any cell in the spreadsheet and click Insert -> Map.

In the Choose Geography menu, Power Map detects the columns that have geographic information. In the Geography and Map Level menu in the Layer Pane, you can select the columns you want to work with. Power Map then plots the data. A dot represents a record that has this value. When you have selected the geographic columns you want, click Next.

Select Measures and Categories

You can then simply select columns: Measures and categories are automatically detected. The available chart types are Stacked Column, Clustered Column, Bubble, Heat Map, and Region.