DataOps
What is DataOps Managed Services?
Modern data platforms are built with a dizzying number of technologies. At the same time, the expectations of your customers, analysts, data engineers, and data scientists are getting higher every day. DataOps Managed Services help you architect, operate, automate, and support your data platform to meet the needs of your customers.
Architecture
- Design your cloud security, accounts, and data.
- Choose new platform capabilities and tooling.
- Advise as new data systems requirements arise.
- Review use case architectures and define best practices.
Support
- Incident management and response.
- Troubleshooting for deployment, capacity, connectivity, resources, and function.
- Management of applications & platform configurations.
- Coordination of changes and service requests.
Automate
- Self-service for user provisioning and security management.
- Monitoring and alerting for problems and performance.
- Reporting for costs and chargebacks.
- Migrate workloads with SQL translation.
Operate
- Build your infrastructure-as-code and CI/CD systems.
- Deploy centralized logging and monitoring.
- Secure authorization policies for cloud data services.
- Manage configurations, resources, and provisioning for cloud and data services.
Who needs DataOps Managed Services?
IT and data management
teams who seek to deliver reliable experience for analytics and ML users.
Business teams that expect access to reliable, up-to-date data.
Product owners who are building products using data and AI.
Data scientists who want reliable access to data in all its forms.
Governance and security
teams that need to eliminate data sprawl and centralize management.
What is (and is not) included in DataOps Managed Services?
DataOps Managed Services is one of our most flexible offerings. No two customers are exactly alike, but below we list some examples of what is typically covered and not covered.
What do DataOps Engineers do?
- User provisioning and access management (preferably automated)
- Monitor and manage data platform costs and consumption
- Recommend and develop platform automation
- Provision, configure, and operate tooling to support your data platform
- Create an information architecture for organizing data
- Manage and maintain proper governance and security
- Support developers and users needing guidance or troubleshooting
- Manage monitoring and alerting on data platform and tooling
- Provide routine reporting on pipeline activity and success rates
- Configure storage locations and security
- Advise on warehouse sizing and performance
- Platform connectivity troubleshooting and resolution
- Setup network connectivity between platform and data source(s)
- Deployment of DDL and DML statements to PROD
What do DataOps Engineers NOT do?
- Act as a full time architect
- Make code changes to applications
- Write data pipelines
- Write machine learning apps