As an OCS user in the agricultural industry, I would like to add these Units of Measure so that we can better support the agricultural data we are gathering:

Solar Irradiance in W/m^2
Atmospheric Pressing in hectoPascals
Volumetric Water Content as a % ratio
Electical Conductivity as deciSiemens/m
Concentration as pH
density as microgram per m^3

Within OCS, make it easier to edit the unit of measure (UOM) for streams.

Ability to capture Batch Tracking data into OCS and visualize it.

The data could be coming from an existing PI System with using Event Frames.

Stream Types are not editable in OCS SDS by design but it's painful to have to recreate a new type and do your work all over again when you need to make a change or forgot something.

Please capture related scenarios you have around making changes to Stream Types here.

UoM of source data or required representation not supported.

Ability to segregate and view information (Data Ingress, Streams, Assets, etc.) from multiple customers/clients within a Namespace SO THAT it's very clear what data and system artifacts are related to each customer and SO THAT information doesn't accidentally get mixed up and exposed to the wrong customer.

Ability to manage security from ingress to egress via the same mechanism.

Some customers need to store (retain) some, but not all, data for extended periods of time. For example, there can be a need to store any data used in regulatory reports for 5-7 years. Going forward, could OCS be an option for collecting/aggregating/storing these data?

As a remote operations monitoring user, I would like to store locations and track movements of assets in a native GeoJSON data type / format for both querying as part of OCS and integration with peer cloud services that take advantage of geospatial positioning data.

Be able to handle the storage, context, and retrieval / visualization of spectral data.

As someone who collaborates on PMU Data or wants to do Wide Area Surveillance would it be possible to load and test data from LBNL PMU Data set. This will allow researchers to create sample solutions on top of OCS. In this area. More informtona and the data set can be found here: http://powerdata.lbl.gov/

As a Data Scientist or Data Steward, I would like a local, zero configuration, in-memory ordered, columnar data storage instance that can take a subset of data from a Cloud Services Data Sharing Publication and persist it for local computing resource tasks SO THAT repetitive updates and changes to my data queries perform well, and also, give me a safe space to test several scenarios prior to publishing data back to Cloud Services.

The ability to store video files in OCS and relate the video to process data by timestamp.