In December 2014, we announced VersaStack, an integrated infrastructure reference solution for enterprise applications that combines technologies from Cisco and IBM. Further extending this partnership, today we are announcing support for IBM BigInsights for Apache Hadoop on our Cisco UCS Integrated infrastructure for Big Data – an industry-leading platform widely adapted for enterprise big data application deployments. The joint solution encompasses disruptive innovations in Cisco UCS and the robust and industry-compatible Apache Hadoop distribution from IBM. This solution can be installed as a standalone Hadoop cluster with powerful analytical tools or can be integrated into existing VersaStack deployments that will benefit from a common fabric and unified management capabilities to deliver the deepest possible insight into your data to help you gain a sustainable competitive advantage.
We are also announcing the availability of Cisco Validated Design (CVD) that provides step by step design guidelines comprehensively tested and documented to help ensure faster, more reliable and predictable deployments at lower total cost of ownership.
- Combines innovations from Cisco UCS such as programable infrastructure with best of open source software with enterprise-grade capabilities in IBM BigInsights for Apache Hadoop
- Designed and optimized for common use cases, pre-tested, pre-validated and fully documented by Cisco and IBM engineers to ensure dependable deployments that can scale from small to very large as workload demands
- Provides enterprises with extensive platform management and data visualization capabilities and integration of big data with other information solutions to help enhance data manipulation and management tasks
- Brings the power of SQL to Hadoop at the performance and scale ever than before accelerating data science and analytics leveraging SQL – arguably the most beautiful programming language – and integration with business applications to access data stored in HDFS and HBase with JDBC and ODBC
- Deep technical expertise, global resources, and world-class support and services from Cisco, IBM and partners
This solution is built on Cisco UCS infrastructure using Cisco UCS 6200 Series Fabric Interconnects and Cisco UCS C-Series Rack Servers optimized for IBM BigInsights for Apache Hadoop with scalability to thousands of nodes with Cisco Nexus 9000 Series Switches:
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Tags: Apache Hadoop, Big Data, Cisco UCS, data center, IBM, IBM BigInsights, versastack
According to scientists, the age of smartphones has left humans with such a short attention span that even a goldfish can hold a thought for longer. On an average, human attention span has fallen from 12 seconds in year 2000 to 8 seconds in today’s smart-world.
What does this mean for Splunk Enterprise ? Read More »
Tags: analytics, Big Data, Cisco UCS, data center, Integrated infrastructure, Splunk, Splunk Enterprise, Splunkconf, UCS, ucsbigdata
Delivering on the promise of Big Data and Analytics takes an ecosystem of partners who collaborate to integrate the underlying technologies so your organization can turn data into business value – faster. That’s why Cisco and MapR are teaming to deliver integrated solutions that are transforming the way organizations deploy and capitalize on the value of Hadoop technology.
The Cisco UCS Integrated Infrastructure for Big Data with MapR solution combines the MapR Distribution including Apache Hadoop with Cisco UCS Integrated Infrastructure for Big Data, which unifies computing, storage, connectivity, and management capabilities. This validated solution delivers an industry-leading architectural platform for Hadoop-based applications.
Cisco and MapR continue to innovate to enable new customer use cases. MapR Senior Solutions Architect, Dr. James Sun, provides an excellent example on his latest blog on Dockerizing Apache Webservers with Cisco UCS, Apache Mesos and MapR.
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Tags: Big Data, Hadoop, MapR, Strata Hadoop, UCS
Guest Blog by Ron Graham
Ron Graham had served as a Data Center Architect and Systems Engineer for some of the largest IT companies in the U.S. including Cisco Systems, NetApp, Sun Microsystems, and Oracle. He is currently working for Cisco Systems as a Big Data Analytics Engineer.
What is Data Virtualization? Our definition is: Agile data integration software that makes it easy to access all your data no matter where it’s managed, and query it across the network as if it were in a single place. I like to say it differently – the real value lies in its ability to provide business users with a single high-level view of data that is spread across their infrastructure.
Data Virtualization is essentially middleware software that leverages a high-performance query engine and can utilize advanced computer architectures such as Cisco UCS. It’s a virtual data integration layer that can deliver data from multiple sources that are loosely coupled or have little or no knowledge of the other components. Of course this is done in a logically organized manner as show by the diagram below.
This is all nice but where is the beef, or the sex appeal? The sexy part is in the front-end business intelligence platforms and data visualization tools that can access and analyze data such as Tableau. Tableau can simply access data through the Cisco Data Virtualization with an ODBC driver. From here, business users can query data on demand from a single point of access (i.e. a common data model) without having to understand the different schemas or SQL dialects of the original data sources.
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Tags: Big Data, Cisco, Cisco UCS, data center, Hadoop, Strata Hadoop, Tableau
This post is officially my first after coming over as part of the Cisco acquisition of OpenDNS. Since 2012, I’ve served as the CTO and am proud to be part of an incredible research team, OpenDNS Labs. Like the Talos Research Group we are focused on detecting and preventing threats that help protect our customers globally. We are uniquely positioned to do this through statistical models and classification techniques that are fueled by our satellite view of the Internet’s infrastructure with more than 80 Billion active DNS queries per day.
Today I’d like to share some of our research that we recently published around combining classification models together to better predict, and therefore prevent phishing and targeted attacks. In this post we discuss how we can combine two of our classifiers; NLP Rank and Traffic Spikes to predict malicious domains. Additionally we highlight the value of data visualizations with OpenGraphiti.
While the blog only highlighted some of our capabilities with OpenGraphiti, I recorded a short video of the tool in action below. This video demonstrates how we not only can ingest the data but also digest it visually — enabling incident response teams to pivot through the attackers infrastructure in a way that is difficult in a textual format. The visualization shows the relationships between the top-level host with all the associated fake sites that are associated and identified with NLP Rank. Note: There is no audio.
We at OpenDNS are extremely excited about being part of Cisco and look forward to sharing more of our incredible technology, research, and data moving forward.
Tags: Big Data, cloud, opendns, opendnslabs