DataOps Offerings
DataOps Lite
$15,000
2-3 weeks
A streamlined introductory package designed for organizations new to DataOps. This offering focuses on establishing foundational practices and understanding the basic principles of DataOps.
- Initial Assessment: Evaluation of current data infrastructure and practices.
- Introduction to DataOps: Overview of DataOps principles and benefits.
- Basic ELT Implementation: Setting up simple Extract, Load, Transform processes.
- Basic CI/CD Setup: Establishing basic Continuous Integration and Continuous Delivery pipelines.
- Governance Overview: Introduction to basic governance and compliance practices.
- Training Session: Conducting a training session for key stakeholders on DataOps fundamentals.
DataOps Starter
$25,000
4-6 weeks
A comprehensive package aimed at organizations ready to implement DataOps practices more deeply. This offering includes advanced setup and initial automation.
- Detailed Assessment: In-depth evaluation of current data practices and infrastructure.
- Advanced ELT Implementation: Deploying advanced ELT processes tailored to the organization’s needs.
- CI/CD Pipelines: Implementing robust CI/CD pipelines with orchestration.
- Component Design: Developing maintainable and scalable data components.
- Environment Management: Setting up multiple dynamic environments for testing and production.
- Governance and Change Control:Establishing strong governance frameworks and automated change control processes.
- Automated Testing: Introducing automated data testing and monitoring.
- Team Training: Comprehensive training sessions for development and operations teams.
DataOps 7 Pillars and More
Contact Us
2-3 weeks
A full-scale, intensive package designed for organizations looking to fully integrate the TrueDataOps philosophy. This offering covers all seven pillars of TrueDataOps and beyond.
- Complete Assessment: Extensive analysis of the current data ecosystem and identifying gaps.
- Full ELT and CI/CD Implementation: Comprehensive deployment of ELT and CI/CD pipelines with orchestration.
- Component Design and Maintainability: Designing highly maintainable and scalable components with cloud computing best practices.
- Advanced Environment Management: Implementing sophisticated environment management techniques, including Kubernetes and dynamic environments.
- Governance by Design: Developing governance and privacy models as core elements of the DataOps platform.
- Automated Testing and Monitoring: Establishing thorough automated data testing and continuous monitoring frameworks.
- Collaboration and Self-Service: Facilitating collaboration among data teams and promoting self-service analytics and operations.
- Advanced Training and Support: Intensive training sessions and ongoing support for all teams involved.
