Good testing is essential and relies on good data. Many organizations generate or synthesize sets for testing, impairing validity and at high cost. With STRM, you can continuously generate high-quality, safe and fresh test data from your production sets and streams at low cost.
Agree on the data transformations necessary to make your production data meet testing needs and compliance demands with data contracts.
Set up pipelines to transform production data, so you always have fresh data at your fingertips. Batch or real-time and streaming, STRM data streams continuously provide fresh data.
Faking, generating or synthesizing data are effective methods to lift compliance constraints. But it's not real data, posing challenges with validity for testing. Building and maintaining these pipelines is costly. With STRM, your production data is transformed, and so all the patterns you look for can be kepot.
Many testing is done from point-to-point as part of a release. With STRM, it's configure once, and generate forever. STRM's test data streams are set up once, and as long as data keeps flowing in, you have fresh test data at your disposal. Need a slightly different type of config? Just configure a new stream, don't build an entire new setup.
Collaborate and agree on the compliance needs for testing with production data. Define the data contract, make the handshake.Learn more
Define the transformations you need to meet compliance needs, from masking to tokenization and even anonimity.Learn more
Testing with production data is rife with security, compliance and privacy concerns. With STRM, data never has to leave your VPC or even premise.Learn more