On-demand analytical environments driving results
The Senate platform provides on-demand Analytics as a Service environments complete with all of the analytical tools your team needs and alleviates the technical and infrastructure limitations you typically experience trying to kick off analytical projects
Complete analytical toolsets
Simple egress and integration
SAaaS environment options
The analytical workspaces on the Senate platform come in three different sizes; small, medium and large. Which workspace will be required for your project depends on the size of the data you need to ingest into the environment in terabytes, and the amount of analytical power you need. These two factors will influence the amount of drive space and CPUs required for your project. The Data Republic team can assist with your needs evaluation to determine which package of workspaces makes the most sense for you.
Custom workspaces are also available for any projects that have unique needs for analytical power or storage capacity.
Data Republic’s technology infrastructure has been designed and built from the ground up with protection and security of data at the forefront of every activity. From the initial ingestion of data, through to the processing and use of the analytical workspaces on the platform, Data Republic provides dynamic analysis and data security controls which ensure that datasets and Data Products are protected from un-authorized extraction or access.
All data ingested into Data Republic is secured both in-transit (SSL) and at-rest (KMS). Each contributor organisation, has a unique encryption key meaning no two contributors can decrypt or access each other's data.
This use of encryption keys also ensures that backups are secured, because only encrypted data is backed up. If a Contributor wishes to remove data from the platform, we permanently delete the encryption keys, as well as the data, to ensure that data is never recoverable.
Encryption keys are stored in a highly secure tamper proof HSM cluster. Alternatively, they could be managed using an AWS KMS/RDS system.