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Overview

Data management and analytics in the hybrid cloud made easy

Cloudera Data Hub is a cloud-native service powered by a suite of integrated open source technologies that delivers the widest range of analytical workloads with comprehensive security, governance, and control.

Use cases

  • Lift-and-reshape
  • Augment with Hybrid Strategy
  • Cloud IaaS to PaaS-like experience
  • Governance, Risk and Compliance

Lift-and-reshape

Data Hub enables you to run your existing Cloudera platform in the cloud through lift-and-shift with improved performance, robust governance, and availability as experienced by thousands of organizations who have deployed Cloudera on-premises. Additionally, Data Hub offers dedicated, pay-as-you-go, auto-scaling, and extensive choices in configuration. Whether you choose a cluster shape of data engineering or data mart, bare metal or virtualized, Data Hub provides an intuitive experience and seamless migration path.

Webinar: Moving workloads to cloud with speed, agility, and trust

 

Clearsense: Improving healthcare, saving lives, with SMART data

20X Faster Mission-Critical Decisions

Read the case study

 

Augment with hybrid strategy

Data Hub can augment or complement existing on-premises environments for scenarios such as analyzing new cloud-born data, running new workloads (data marts, operational data store) on existing data synchronized with the cloud, enabling new types of applications & exploratory projects in the cloud  empowering organizations to capitalize on cloud benefits while retaining sensitive/relevant data in the on-premises environment.

Gartner Report: Intercloud and Multicloud Hybrid Cloud Architectures

Clearsense: Improving Healthcare, saving lives, with SMART data

20X Faster Mission-Critical Decisions

Read the case study

 

Cloud IaaS to PaaS-like experience

Existing customers using Cloudera in IaaS model can move to Data Hub and reap benefits like increased automation, integration with object-storage, unified control pane, and shared catalog, security and governance with SDX.

Webinar: Cloud-native platform for enterprise scale machine learning

Clearsense: Improving Healthcare, saving lives, with SMART data

20x faster mission-critical decisions

Read the case study

 

Governance, risk, and compliance

The increasing complexity of regulatory changes has gained momentum over the past years. These requirements demand organizations build a data architecture that will lower the business risks. Data Hub with SDX provides consistent security and governance across all data and environment, and protects enterprises’ data from increased security threats/risks.

White paper: Lowering business risk with data

Clearsense: Improving Healthcare, saving lives, with SMART data

20X Faster Mission-Critical Decisions

Read the case study

 

 

CDP Data Hub in action

Cloudera’s new Data Hub cloud service enables you to seamlessly migrate your on-premises data and workloads to the cloud, so you can develop a cloud-first data management strategy.

 

 

CDP Data Hub in action

Cloudera’s new Data Hub cloud service enables you to seamlessly migrate your on-premises data and workloads to the cloud, so you can develop a cloud-first data management strategy.

 

Key benefits & features

Cloudera Data Hub facilitates seamless migration of data management and analytical workloads to cloud with unified security and governance.  It empowers organizations to focus on delivering trusted, high-value analytics from edge to AI-powered operations with the broadest range of workloads such as operational data store, data mart, and data-in-motion/edge.

Data Hub clusters can be provisioned and disposed of quickly.  with pre-built or custom configuration options for infrastructure. Data Hub makes it easy to provision multiple clusters on shared data, so customers can launch new applications that can be fully isolated without worrying about interrupting existing production applications.

Data Hub is for people who want flexibility, scalability, and ease of use. Users can rearrange worker roles, configure GPU support, adjust resource management settings, and tune clusters to implement complex, multi-function analytics use cases at scale.

Data Hub supports end-to-end data life cycle from data ingestion to operationalization of ML models.

Data Hub enables cloud-native architecture where data is decoupled from the compute infrastructure and data delivery layer is abstracted from raw data. This decoupled architecture significantly improves flexibility, agility, data protection, and scale.

Data Hub facilitates management, monitoring, and orchestration of all services from a single pane of glass across all environments.

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Enterprise-grade security and governance

Secure and govern platform data and metadata, and control capabilities with dedicated, integrated interfaces to manage it. Data security, governance and control policies are set once and consistently enforced everywhere, reducing operational costs and business risks while also enabling complete infrastructure choice and flexibility.

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