DeepIQ + AWS
Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow. Running web and application servers in the cloud to host dynamic websites
DeepIQ is a proud member of the AWS partner network and runs natively on AWS platform
Data
Read and write from AWS databases and file systems
Amazon Timeseries
Amazon RDS
Amazon Redshift
Amazon DynamoDB
Amazon Athena
Streaming
Read and write from AWS streaming sources
Amazon Kinesis
Compute
Run natively on AWS Databricks and Cloudera CDP on AWS
Databricks
Databricks
AWS TimeStream - Moving Operational Data into AWS at Scale in less than 60 minutes
With DeepIQ’s DataStudio, moving your IoT data into AWS from your diverse industrial technology and naetwork landscape is a simple task with no code development requirement.
In our latest whitepaper, we will use a real-world use case to show you how to build a production-grade data pipeline with real-time streaming data from your industrial systems into your AWS Timestream database in less than 60 minutes.
Maximizing the value of OT data with DeepIQ DataStudio (Data + AI) on AWS | AWS for Industries
Operational technology (OT) data refers to the data generated by sensors and other devices used in industrial settings to monitor and control physical processes.
Supervisory control and data acquisition (SCADA) systems, data historians, and programmable logic controllers (PLCs) are examples of technologies that generate OT data.
SCADA systems are used to monitor and control industrial processes, while data historians are used to collect and store historical data from industrial systems.