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MapR Big Data Everywhere

Recently I was just granted the title, “Road Warrior.” If you followed me on Twitter, you probably knew that I had been traveling lots lately. And I continue to live up to that title! Next up: MapR Big Data Everywhere in Austin (10/27), Dallas (10/28), and New York (11/4)!

MapR Big Data Everywhere is a half-day conference focused on Hadoop and complementary technologies that will bring together users and developers to share their experience about thier projects. There will be multiple presentations and user success stories from which we will learn great insights .It will also be a great opportunity for Industry experts to exchange Hadoop knowledge, share best practices, and discuss Hadoop use cases.

Cisco UCS Integrated Infrastructure for Big Data and MapR continue to deliver performance and multi-tenancy to help tame big data projects. We provide enterprises with transparent, simplified data as well as management integration with an enterprise application ecosystem. Through our integration and tremendous work together, we are able to provide a uniquely capable, industry-leading architectural platform for Hadoop-based applications.

MapR big data everywhere from Renee Yao

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Swimming in Data and Analytics

    As I prepare to go to the Data and Analytics conference in Chicago next week, I just realized how much I have been swimming in big data and analytics lately. There has been so much going that I think It makes sense to that highlight some activities from last week, upcoming activities next week and in early November.
    In case you haven’t been keeping up with the frantic pace make sure you check out the news form last week:

Data Preparation Announcement

    Kevin Ott, General Manager of Cisco Data Virtualization and Connected Analytics Business Unit, introduced Cisco Data Preparation. This is a new big data and analytics offering for business analysts and IT that makes it easy for non-technical business analysts to gather, explore, cleanse, combine and enrich the data that fuels analytics and business decisions.
    Bob Eve, Data Virtualization BU, and Robert Novak, UCS Sales Engineering, also had a great discussion on new Cisco big data offerings at Strata + Hadoop World last week.

    Ok, so on to next week and things that I recommend that you don’t miss:

Data and Analytics Keynote

    If you will be in Chicago next week, you are in luck because the line up for the keynote sessions is great. 

        – Mike Flannagan, VP and GM of Cisco’s Data and Analytics Business Group
        – Jim Green, CTO of Cisco’s Data and Analytics Business Group
        – Award-winning journalist and radio and TV personality Stephen J. Dubner author of Freakonomics. 

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ACI, Big Data, and DataTorrent

(This blog has been developed in association with Farid Jiandani, Product Manager with Cisco’s Insieme Networks Business Unit)

If you work for an enterprise that’s looking to hit its digital sweet spot, then you’re scrutinizing your sales, marketing and operations to see where you should make digital investments to innovate and improve productivity. Super-fast data processing at scale is being used to obtain real-time insights for digital business and Internet of Things (IoT) initiatives.

According to Gartner Group, one of the cool vendors in this area of providing super- fast big data analysis using in-memory streaming analytics is called DataTorrent, a startup founded by long-time ex-Yahoo! veterans with vast experience managing big data for leading edge applications and infrastructure at massive scale. Their goal is to empower today’s enterprises to experience the full potential and business impact of big data with a platform that processes and analyzes data in real-time.

DataTorrent RTS

DataTorrent RTS is an open-DataTorrent RTS provides a single, unified batch and stream processing platform that enables organizations to reduce time to market, development costs and operational expenditures for big data analytics applications. source, enterprise-grade unified platform for stream and batch processing on Hadoop.

DataTorrent RTS Integration with ACI

A member of the Cisco ACI ecosystem, DataTorrent announced on September 29th DataTorrent RTS integration with Cisco Application Centric Infrastructure (ACI) through the Application Policy Infrastructure Controller (APIC) to help create more efficient IT operations, bringing together network operations management and big data application management and development: DataTorrent Integrates with Cisco ACI to Help Secure Big Data Processing Through a Unified Data and Network Fabric.

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Life in the Fast Lane – The New Cisco UCS C3260 Rack Server

HeroC3260co-written with Richard Jacobik

Cisco recently started shipping the newest member to the UCS family – the storage-optimized UCS C3260 Rack Server. Data centers these days are bursting at the seams with unstructured data from new emerging applications and services. According to IDC, 80% of data is unstructured and continues to grow at a 16.2% CAGR. The ability for data centers to economically and rapidly ingest, index, analyze, and archive all this data is top of mind.

Cisco first introduced the C3000 family of storage optimized UCS rack servers in 2014 with the launch of the UCS C3160 rack server last fall. While on the surface the two servers models may look Read More »

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Cisco @ Strata-Hadoop World Wrap-Up: If we can make it there, we’ll make it anywhere…

 

Strata-HadoopWordCloud

We made it…another successful Strata-Hadoop World show for Cisco’s Big Data & Analytics team. This year we had a few unique challenges – the Pope was leaving town when we arrived; then the UN General Assembly made traffic a bit more difficult than normal; finally towards week’s end the threat of ‘The Hurricane’ for the East Coast…

Cisco had an active presence at Strata this year with several newsworthy and interesting highlights:

• Introducing Cisco Data Preparation. Cisco Data Preparation (Data Prep) makes it easy for non-technical business analysts to gather, explore, cleanse, combine and enrich the data that fuels analytics. Read Kevin Ott’s Data Prep blog here. Read More »

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