Unlocking the value of your data is crucial throughout your data-driven journey. Our data engineering services at SiW Professional Services help move your Cloudera deployment from pilot to production quickly and painlessly. With our expertise in data engineering services, you can achieve lower costs and peak performance.
Optimize at every stage of your data journey
Throughout your data-driven journey, use cases, and with that the architecture and deployment to support them, change. SmartServices provide you the right offerings and support for each stage on the journey; from launching to accelerating and expanding your deployment. We partner with you to provide hands-on technical insight and advice, and let you benefit from our widest real-world experience and most capable technical experts.
SiW Start
- Get started with the Cloudera Platform in your data center
- Design and setup a Cloudera cluster, based on best practices
- Enhanced security for authentication, authorization, auditing and data governance
- Implement an Edge2AI use case that demonstrates value.
SiW Migrate
- Assessment and planning to optimize your current state to hybrid architecture
- Upgrade legacy Cloudera CDH or HDP deployments to the latest versions
- Migrate legacy Cloudera CDH or HDP workloads to CDP in your data center
SiW Cloud
- Get started on your cloud analytics journey with CDP on Public Cloud
- Supporting shift-to-cloud, and burst-to-cloud adoption scenarios
- Right level of assistance required : onboarding and planning, launching or accelerating
SiW Upgrade
- Comprehensive platform health check and use case analysis for optimizations
- In-place upgrade migration plan based on requirements and best practices
- Upgrade existing Cloudera CDH or HDP deployment to CDP with minimum disruption
SiW Motion
- Get started with real-time analytics using Cloudera Data Flow (CDF)
- Data In Motion stack design and setup
- Streaming analytics use case implementation
SiW Health
- Comprehensive platform health check for optimal performance overall
- Review cluster and components, data and applications, security and governance as well as cluster operations
- Application of prioritized recommendations for optimization