The platform focuses on carrying out the heavy lifting of data collecting, cleansing and storing. This enables BI teams and data scientists to focus on answering the more pertinent questions for your business.
Quickly connect to multiple remote data sources, ingest data seamlessly and clean as it's collected.
Access the raw and cleaned versions via the api.
Crewspark versions everything collected and acts like a time-machine for your data.
Monitoring all connections for volume and timeliness means that we can derived metrics for reliabilitiy and SLAs.
Crewspark provides access to the platform via the user-interface and secure API.
Crewspark Enterprise connects seamlessly with your current Hadoop or other noSQL platform.
An open data service leveraging Crewsparks own cloud and data warehousing platform.
On Premise deployment integrated directly with your big data environment.
Enquire about SaaS and Enterprise deployment for Crewspark at firstname.lastname@example.org
All collected data is stored within its own meta-model and made available via the Crewspark secure api. This model provides chronological versioning of everything collected for both raw and cleansed sources.
Examples calls to the API might be:-
We believe that large scale engineering must be complimented equally with monitoring and control.
Without that approach, Big data platforms can quickly become big problems.
Understanding the analytical dependencies for any business is at the forefront of Crewsparks purpose to provide transparency in complex operating environments.
An understanding of data dependencies plays a key role in buisness resiliency and maturity.