Cisco Cisco UCS Director Express for Big Data Leaflet
© 2014 Cisco Systems, Inc. All rights reserved. This document is Cisco Public Information.
As you consider Hadoop to meet your growing data and business needs, operational
challenges often emerge. Despite its compelling advantages, Hadoop clusters can
be difficult, complex, and time consuming to deploy. Moreover, with so much data
increasing so quickly, you need to find ways to consistently deploy Hadoop clusters
and manage them efficiently.
challenges often emerge. Despite its compelling advantages, Hadoop clusters can
be difficult, complex, and time consuming to deploy. Moreover, with so much data
increasing so quickly, you need to find ways to consistently deploy Hadoop clusters
and manage them efficiently.
Cisco UCS® Director Express for Big Data provides a single-touch solution that
automates deployment of Hadoop on leading Cisco UCS Common Platform
Architecture (CPA) for Big Data infrastructure. It also provides a single management
pane across both physical infrastructure and Hadoop software. All elements of the
infrastructure are handled automatically with little need for user input. Through this
approach, configuration of physical computing, internal storage, and networking
infrastructure is integrated with the deployment of operating systems, Java
packages, and Hadoop along with the provisioning of Hadoop services. Cisco UCS
Director Express for Big Data is integrated with major Hadoop distributions from
Cloudera, MapR, and Hortonworks
automates deployment of Hadoop on leading Cisco UCS Common Platform
Architecture (CPA) for Big Data infrastructure. It also provides a single management
pane across both physical infrastructure and Hadoop software. All elements of the
infrastructure are handled automatically with little need for user input. Through this
approach, configuration of physical computing, internal storage, and networking
infrastructure is integrated with the deployment of operating systems, Java
packages, and Hadoop along with the provisioning of Hadoop services. Cisco UCS
Director Express for Big Data is integrated with major Hadoop distributions from
Cloudera, MapR, and Hortonworks
1
, providing single-pane management across the
entire infrastructure. It complements and communicates with Hadoop managers,
providing a systemwide perspective and enabling administrators to correlate Hadoop
activity with network and computing activity on individual Hadoop nodes.
providing a systemwide perspective and enabling administrators to correlate Hadoop
activity with network and computing activity on individual Hadoop nodes.
Simplicity and Agility
The Cisco Unified Computing System™ (Cisco UCS) has redefined data center
infrastructure by introducing the concept of stateless resource abstraction with
Cisco UCS service profiles. Now Cisco UCS Director Express for Big Data extends
the service profile concept into the Hadoop application space by creating a cluster
infrastructure by introducing the concept of stateless resource abstraction with
Cisco UCS service profiles. Now Cisco UCS Director Express for Big Data extends
the service profile concept into the Hadoop application space by creating a cluster
Solution Brief
August 2014
Highlights
Faster and Easier Big Data
Infrastructure Deployment
• Cisco UCS® Director Express for Big
Data extends the Cisco UCS Common
Platform Architecture (CPA) for Big
Data with one-click provisioning,
installation, and configuration,
delivering a consistent, repeatable,
flexible, and reliable end-to-end
Hadoop deployment..
Massive Scalability and Performance
• Cisco’s unique approach provides
appliance-like capabilities for Hadoop
with flexibility that helps ensure that
resources are deployed right the first
time and can scale without arbitrary
limitations.
Centralized Visibility
• Cisco UCS Director Express for Big
Data provides centralized visibility into
the complete infrastructure to identify
potential failures and latent threats
before they affect application and
business performance.
Open and Powerful
• An open interface allows further
integration into third-party tools and
services while allowing flexibility for
your own add-on services.
1. Support for each distribution may vary.