Kinetica & Tableau’s integration offers an effective solution for visualizing enormous amounts of real time spatial data. With Kinetica’s lightning-fast speed in processing and analyzing large and complex spatial and time-series datasets, and Tableau’s advanced visualization capabilities, users can benefit from both by gaining valuable insights resulting in quick and data driven decisions.
Kinetica’s Web Mapping Services
Kinetica uses its Web Mapping Services (WMS) via server-side rendering, which allows geospatial data to be served via the web, eliminating the need to transfer large amounts of data to the client-side for rendering. This allows large and complex spatial datasets to be processed with lightning-fast speed, enabling users to visualize and analyze huge amounts of spatial data in real-time.
Users can gain real time insights from raw spatial data as it eliminates the need for pre-processing data. Kinetica’s real-time analytics engine can handle and analyze data streams from multiple sources, making it an ideal solution for use cases that require fast and fresh insights.
Deep integration with Tableau
Tableau integration provides users with support for a wide range of features including cross-filtering, class break rendering, multiple layers of geospatial data, and calculated fields. Cross-filtering allows users to filter data in a map that then simultaneously updates charts and tables, enabling them to create dynamic and interactive visualizations that provide valuable insights from their data. Class break rendering allows users to visualize data using color-coded maps based on predefined classes, highlighting patterns and trends in their data.
Kinetica provides support for calculated fields, enabling users to perform complex calculations on their spatial data directly in Tableau. Kinetica can also support multiple layers of spatial data which helps applications that require integration of different types of geospatial data.
This integration is well-suited for a wide range of applications, including logistics and transportation, telecommunications, environmental monitoring and assessment, public safety and security, retail, energy, defense, and media & entertainment. In each of these use cases, the integration of Kinetica and Tableau can help users gain valuable insights and make data-driven decisions quickly and efficiently.
On April 25, experts in the field of data visualization and spatial analysis will talk about visualization & analysis of large-scale spatial data, including location-enriched sensor data, 5G network data and track data using Kinetica and Tableau. They will demonstrate building complex spatial visualizations like class breaks, multiple map layers and heat maps.
Register for the webinar for a deep dive into the topic.
