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Whether your data is streaming or batch, and has Geospatial or Time Series attributes, DeepIQ simplifies building and scaling your data workflows

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Transform

DeepIQ’s edge software supports native connectivity to all leading historians and industry standard PLCs. Scale to millions of messages per second and support transmission using secure, encrypted connections.

Schema Mapping

Infer your source to sink schema mapping automatically across your sources. Capture data schema at any stage of your workflow

Change Data Capture

Track changes to your data and capture slow changing dimensions with automated audit columns including dates and user details

Speed

Gain 50x execution speeds with Apache Spark based implicit computation and data parallelism

Monitor

Visualize your data at any stage of your workflow and explore your data with statistics, samples and quality metrics

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Time Series processing

Clean

Remove outliers and smooth out noise using statistical Time Series data cleansing operations

Interpolate

Unify your Time Series data sources to a single frequency using interpolation techniques

Scale

Analyze millions of streaming tags or TBs of Time Series data without a single line of code

Persist

Create Time Series data models and persist into your favorite Time Series database including Delta Lake, Hive, Kudu, AWS Timestream or Azure TimeInsights or Google BigTable

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Geospatial Data Processing

Query

Use geospatial queries to calculate containment, intersection, overlap and many other properties between your data sources

Clean

Fix bad quality or missing data issues with spatial interpolation techniques

Visualize

Fine tune your geospatial workflow parameters by iterating your results with map based visualizations

Join

Run laser fast joins against polygon and point datasets with our proprietary and automated geospatial indexing

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Whitepaper - Geospatial Analytics at Scale

In this whitepaper, we first explain the challenges in geospatial analytics. Then, we explain how DeepIQ addresses these challenges leveraging your execution environment for scalability and customizability.


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