Cloudera Support Services

By utilising the power of our Cloudera support services at relatively inexpensive costs, you may have access to the newest big data technologies and construct real-world data science solutions.

Are you looking to create some of the greatest big data solutions for your company using the most cutting-edge technologies? Are you looking for Cloudera support experts who are both skilled and experienced? Then outsourcing Cloudera support services to an experienced and qualified Cloudera support service provider is the best alternative for you.

Auto Innovative Hub is a Cloudera support service provider that may serve as your one-stop shop for all of your requirements. We have some of the most knowledgeable and qualified Cloudera support specialists on staff to meet all of your needs. While providing top-notch services, we make use of the most up-to-date tools and technologies.

Cloudera Support Services We Offer

For almost two decades, Auto Innovative Hub has been one of the leading providers of Cloudera managed services to clients. We have the ability to comprehend each client's specific needs and supply them with personalised services that are tailored to their specific needs. Among the primary Cloudera support services we provide are:
1. Designing and setting up a Cloudera cluster.
2. Supporting shift-to-cloud and burst-to-cloud adoption scenarios.
3. Assessment and planning to optimize existing architecture to hybrid architecture.
4. Provide the required support on Hadoop administration activity for the core components of Hadoop stack of CDH, Impala, Hive, Spark, HUE, Kafka, and Cloudera Manager.
5. Upgrade legacy Cloudera CDH or HDP deployments to the latest versions.
6. Comprehensive platform health check and use case analysis for optimizations.
7. In-place upgrade migration plan based on requirements and best practices.
8. Migrate legacy Cloudera CDH or HDP workloads to CDP in your data center.
9. Upgrade existing Cloudera CDH or HDP deployment to CDP with minimum disruption.
10. Offloading of the legacy data warehouse to the Cloudera platform.
11. Discovery, detailed analysis, and offload roadmap.
12. Offload of identified workloads and optimize performance.
13. Ecosystem component troubleshooting.
14. Review cluster and components, data and applications, security and governance as well as cluster operations.