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Cloudera : Big Data platform for hybrid cloud
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Cloudera, Big Data Services Redesigned for Agility and Governance
Cloudera is a comprehensive solution for managing, governing, and leveraging the entire data lifecycle. Designed to run in the cloud, on-premises, or in hybrid environments, Cloudera unifies proven open-source technologies (Hadoop, Spark, Kafka, Hive, etc.) within an industrial-grade and secure framework.
The platform meets the growing requirements of enterprises: centralised governance, controlled scalability, regulatory compliance, while accelerating analytics, AI, and machine learning use cases.
Cloudera also enables the unification of data environments through a lakehouse architecture, combining the benefits of a data lake and a data warehouse. This approach facilitates collaboration between data teams, improves data quality, and industrialises analytics and AI use cases within a secure and compliant framework.
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Cloudera offers a set of features designed to transform and enhance your data assets, from ingestion to advanced analytics.
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Cloudera provides a coherent response to the challenges of modern data architectures:
- Flexibility and data sovereignty: selection of the deployment environment best suited to your needs (hybrid, multi-cloud), ensuring data control and localisation
- Simplified operations and cost control: management of the entire data ecosystem from a unified platform, with optimised resources and reduced operational complexity
- Scalability and performance at scale: support for exponential data growth and demanding analytics and AI workloads without compromising performance
- Enhanced collaboration and innovation: a shared, secure environment for teams to experiment, develop, and deploy data-driven solutions
Cloudera stands out as a sovereign, secure, and high-performance alternative to proprietary cloud solutions.
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We support you at every stage of your Cloudera project:
- Consulting & scoping: architecture definition, cloud/on-premise choices, data strategy
- Deployment & configuration of Cloudera CDP in the selected environments
- Security & governance: implementation of Apache Ranger, Apache Atlas, and integration with Active Directory / LDAP
- Development of ETL / ELT / streaming pipelines, real-time data ingestion via Cloudera Data Pipeline, Kafka, and NiFi
- MLOps: industrialisation of AI models with Cloudera Machine Learning, CI/CD integration, and monitoring
- Training & knowledge transfer for your Data, IT, and Security teams
