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Data Lifecycle Management for Hadoop with Cisco UCS and HDP

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Big Data is better than a sharp stick in the eye

Big Data is better than a sharp stick in the eye. I can say this with great authority, since I missed the first half of Strata+Hadoop World 2015 in San Jose because of the latter. But eye injuries have never kept me offline for long, and I was able to follow online with what I didn’t see in person. But I was very happy to make it in to the show on Friday, and even got a seat at about row 6 in the main hall for the keynotes. Read More »

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Three Big Data Integration Plays to Drive More Value from Big Data

Big data and analytics are changing the competitive playing field. Winners will find ways to turn unprecedented growth and complexity of big data, cloud, IoT devices and more into competitive advantage.

The Value of Big Data Integration

Big data itself can provide significant insight, impact and advantage. These outcomes can be multiplied when big data is combined with existing enterprise data or even other big data. These insights can lead to enriched customer engagement, faster new product innovation, higher returns on capital and more. The possibilities are endless. And your competition has the same objectives.

As a result, integrating big data intelligently is a challenge on nearly everyone’s short list. Three patterns of integration have formed around big data integration.

Cisco Data Virtualization is proving a key enabler, delivering many of the capabilities required. With Cisco UCS and key partners including Appfluent, Cloudera, Hortonworks, Informatica and MapR providing additional value add.

Integration Pattern 1 – Hadoop to Hadoop Integration 

The Cisco Hadoop-to-Hadoop Data Integration solution provides a more agile and faster way to access and query multiple Hadoop clusters. This solution enables even “bigger” big data analytics for greater insights and business impacts.



Integration Pattern 2 – Hadoop to Enterprise Integration 

The Cisco Hadoop-to-Enterprise Data Integration solution provides a more agile and faster way to bring together traditional enterprise data with the new world of big data. Accessing and querying both Hadoop and enterprise data enriches the analytic opportunities and results in better business decisions.



Integration Pattern 3 – Data Warehouse Optimization Integration

With data warehouse data doubling every two years, data warehouse costs are skyrocketing. To reduce these ever-growing warehouse management costs Cisco and Informatica recently announced a joint Data Warehouse Optimization solution.

This offering combines the hardware, software and services required to successfully offload processing and storage from data warehouses to Hadoop. Not only does it significantly reduce costs, the solution also help organizations integrate and analyze more data and types of data, and thus drive greater business impacts.



At Strata + Hadoop World last week, I discussed this new solution with Jim McHugh, VP of UCS & Data Center Solutions Marketing at Cisco.


Learn More

To learn more about these solutions and how Cisco’s rich portfolio of big data and analytics solutions can help you unlock the value of your big data, check out these two on-demand seminars:

Unlock Your Competitive Edge with Cisco Big Data and Analytics Solutions

Analytics Solutions for Driving Better Business Outcomes


Join the Conversation

Follow us @CiscoDataVirt.

Learn More from My Colleagues

Check out the blogs of Mala AnandMike Flannagan and Nicola Villa to learn more.

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Cisco Big Data on Display at Strata+Hadoop World

Big data has become big business as businesses mine vast stores of data for insights that can help identify trends, predict behavior, and empower decision makers. And the Internet of Everything (IoE) is creating new analytic use cases and possibilities that were inconceivable just a few years ago.

Cisco’s rich portfolio of big data and analytics solutions can help you unlock your competitive edgeScreen Shot 2015-02-06 at 2.27.53 PM

  • From strategy to infrastructure
  • From edge device to data center
  • From access to analysis

Cisco’s unique approach to big data and analytics will be on display February 17-20 at Strata+Hadoop World in San Jose, California. This is the easiest way to learn about these solutions directly from Cisco experts and also see how these offerings stack up compared to other vendors.

One-on-One Demonstration and Discussions

Stop by the Cisco booth (#831) to get a first hand look at several key offerings in Cisco’s portfolio including:

  1. Data and Connected Analytics Portfolio
  2. UCS Integrated Infrastructure for Big Data
  3. Kaon v-Rack® mounted switches, routers, servers, and storage products.

I’ll be there, along with a number of other Cisco subject-matter experts. We would enjoy learning about your challenges and exploring how, with the right hardware, software, consulting, and services, we can help you transform IoE data into actions that create new capabilities, richer experiences and unprecedented economic opportunities.

If you aren’t already registered, take advantage of use code “Cisco20” for a 20% discount on 2 Day and All Access Passes.

Learn about Connected Analytics in the Solution Showcase Theater

Cisco® Connected Analytics for Events, a cloud-based analytic solution that venue operators use to enhance fan experiences, improve advertising and promotion efforts, identify operational and security issues, and provides the foundation for Why Event Analytics Matter on Wednesday, February 18 at 5:35 PM in the Solutions Showcase Theater by Rohit Shrivastava, General Manager of Cisco’s Connected Analytics Business Unit.

Listen to Cisco’s Point of View on Big Data with Analytics in an IOE World

Harness the Power of Big Data with Analytics is the title of Cisco’s keynote session on Thursday, February 19, at 4:50 PM in Room 210 B/F.  This presentation addresses the challenge organizations are experiencing due to unprecedented complexity in managing their data, with the rise of Big Data, Cloud and overall hyper connectivity of our world.

Cisco is building solutions to help our customers adopt Big Data solutions, solve business problems using Analytics, and harness the power of an intelligent infrastructure to provide highly differentiated Data and Analytics solutions. In this session, Mike Flannagan, General Manager of Cisco’s Data and Analytics Business Group, will provide an overview of these solutions, help demystify the relationship of Big Data and analytics and bring it to life through customer stories.


Join the Conversation

Follow us @CiscoDataVirt.

Learn More from My Colleagues

Check out the blogs of Mala AnandMike Flannagan and Nicola Villa to learn more.

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Announcing OpenSOC .1

OpenSOC, an open source security analytics framework, helps organizations make big data part of their technical security strategy by providing a platform for the application of anomaly detection and incident forensics to the data loss problem. By integrating numerous elements of the Hadoop ecosystem such as Storm, Kafka, and Elasticsearch, OpenSOC provides a scalable platform incorporating capabilities such as full-packet capture indexing, storage, data enrichment, stream processing, batch processing, real-time search, and telemetry aggregation. It also provides a centralized platform to effectively enable security analysts to rapidly detect and respond to advanced security threats.

A few months ago we were really excited to bring OpenSOC to the open source community.  Developing OpenSOC has been a challenging, yet rewarding experience.  Our small team pushed the limits of what is possible to do with big data technologies and put a strong foundational framework together that the community can add to and enhance.  With OpenSOC we strive to provide an open alternative to proprietary and often expensive analytics tools and do so at the scale of big data. Read More »

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