Optimize big data insights with cloud native location intelligence
Give your solutions the location advantage
Location analytics are critical to your organization’s success. Today, that means extracting value from the high volume and variety of data collected through mobile devices, smart sensors, social media and traditional address entry.
When you run big data processes in silos, efficiencies are lost. You can create a centralized data lake to store and process big data. However, transformative outcomes and data democratization can only be achieved when geospatial processing and analytics become part of your big data environment.
Fortunately, your organization can now take advantage of proven data quality, geocoding and location analysis capabilities directly within Kubernetes and Spark. Spectrum for Big Data integrates these capabilities with big data environments so you can achieve outcomes that previously would not have been possible.
Transforming big data into big insight
Aggregate and analyze information in new ways by adding geospatial capabilities to your data lake. The result? Gain deeper insights, increase the returns on your big data investment, and achieve results that otherwise would be not be possible.
Capitalize on your big data framework
Spectrum Location Intelligence for Big Data runs natively in Kubernetes or Spark. Data is analyzed where it resides, so you can realize the full benefit of a distributed processing
environment, including speed, resiliency and low-cost hardware. In addition to geospatial batch processing, you can run interactive queries and iterative geospatial calculations.