DeepIQ DataStudio




Time Series Ingestion

You can seamlessly plug any telemetric source or sensor into your data lake so you can execute machine learning algorithms, perform exploratory and descriptive analytics.

DeepIQ TimeSeries Ingestion

Universal Connectivity

You can connect to any industrial source using our Edge software that can translate multiple industrial protocols or leverage inexpensive middleware.

Highly Scalable

DeepIQ TSI scales both to the velocity and volumes of industrial data sources leveraging the distribution capabilities of Hadoop.

Native Analytic Support

Perform advanced analytics without expensive data movement leveraging the native capabilities of Hadoop.

Open Source Based

DeepIQ’s Time Series Ingestion connects to your time series data with your favorite open source data science tool.

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Relational Ingestion

You can automate the creation of your data lake from your relational data sources like Sequel, Oracle, SAP and OpenWorks without writing a single line of code.

DeepIQ Relational Ingestion

100% Automation

No more manual scripting for scheduling and ingesting relational data into the data lake. Our drag & drop UI will generate 10x time efficacy guides.

Automatic Column Mapping

Worry-free mapping of your relational sources to a Hadoop schema. Our software automatically maps file formats and data types for you.

Scheduling and Monitoring

Scheduling the data jobs is quick and error free using the Web UI. And our advanced monitoring tools will ensure everything is running smoothly.

Reporting

DeepIQ’s Relational Ingestion comes with a suite of dashboard and reporting tools, so you can easily monitor the progress of your scheduled jobs.

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Data Transformation

You can populate your data lake automatically with this drag and drop ETL (Extract-Transform-Load) app for structured and unstructured sources without hiring a dozen consultants to write or maintain point-to-point code.

DeepIQ Data Transformation Software

Power & Speed

DeepIQ’s Data Transformation Software is based on Spark, which allows its use in parallel and distributed computation for scalability.

100% Automation

Creating an ETL job is no longer a time consuming tedious process. Our Web UI tool makes the task simple without writing any code.

Reporting

DeepIQ’s Relational Ingestion comes with a suite of dashboard and reporting tools, so you can easily monitor the progress of your scheduled jobs.

Scheduling & Monitoring

Scheduling the data jobs is quick and error free using the Web UI. Next, the advanced monitoring tools will ensure everything is running smoothly.

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A DeepIQ client replaced an Enterprise Data Warehouse with DeepIQ and a Hadoop data lake. It was completely implemented in just a few months, and they are now migrating 4000 tables daily.