Hey data heads! O’Reilly Strata Conference kicks off tomorrow at the Santa Clara Convention Center. If you plan to go you better have tickets because the event is sold out.
If you are attending the three days of sessions, keynotes, receptions and exhibits, please stop by the MapR booth for some face time with one of our big data partners and plan to attend their sponsored panel discussion which includes Cisco IT and other MapR customers facilitated by Mike Gualtieri from Forrester Research.
Best Practices for Hadoop In Production
“Mike Gualtieri, principal analyst at Forrester Research, Inc., will engage a panel of production Hadoop users – including Cisco IT, The Climate Corporation, The Rubicon Project, and Solutionary – to discuss the challenges and best practices for deploying Hadoop in production. Join us for an engaging conversation on tips and tricks in deploying Hadoop in production. 10:40am, Wednesday February 12 in Ballroom H” See more here.
Representing Cisco IT will be Distinguished Engineer, Piyush Bhargava. Piyush is Chief Architect for Data Architecture & Innovation and is responsible for finding new ways of harnessing value from data and for designing architectures to support data processing, analytics & data science needs.
If you can’t make it to Strata Conference or are double booked during this time slot you can get the goods on this topic from a number of other sources.
- First, check out the webinar Cisco and MapR produced with Mike that highlights the Cisco IT case study. Mike outlines the 7 Best Practices for Productionizing Hadoop, MapR follows with their best practices for data tables and Cisco IT covers their big data use case. If you want to skip to the Cisco IT use case, it starts at 34:00.
- Then, take a look at my blog post on the Cisco IT big data platform success story. Cisco IT has standardized on Cisco UCS servers and fabric interconnects for its big data infrastructure and uses MapR for data tables.
For operational workloads, Cisco IT has standardized company-wide on Cisco Tidal Enterprise Scheduler with its unique set of adapters that include API integrations to MapR, Hive and Sqoop for big data workload processing.
- Next, spend some time reading the Unleashing IT Big Data Edition. This special edition of Unleashing IT is all about big data and highlights our joint Cisco/MapR customer Solutionary who incidentally, will join Cisco IT on the Strata Conference panel discussion on Wednesday. This e-zine is packed full of big data thought leadership; best practices for infrastructure and operations; customer success stories and include our partners Intel, MapR and others.
- Finally, peruse the Cisco big data website for all the latest on our solutions, partners, services and resources to help you make the best informed decision on moving your big data platform from development to production.
Big Data blogs I follow:
Tags: Big Data, Cisco IT, Cisco UCS, Cisco Unified Management, inside cisco it, software, Strata Conference, Tidal Enterprise Scheduler, unified management, workload automation
In a world where we are increasingly connected, and other’s opinions or reviews are more accessible than ever, marketing must evolve to keep up. Consumers want, and expect, ‘on-demand’ marketing –customized marketing that caters to what they need, when they want it, and is extremely responsive. 59% of consumers who have experienced personalization believe it has a noticeable influence on their spending. That percentage cannot be ignored –and with all the data available from connected devices and social media –there is no reason it should be.
Social media interactions are a part of many customers’ routine. For marketing, these interactions provide valuable insights and data. Companies like Julep Beauty leverage social media to interact with their customers, discover what they want, and quickly create, test, and sell new products. When negative reviews or comments come up, they promptly address the issue. This allows customers to feel like their voices are being heard and helps position the brand as a company that cares and is responsive to its customers.
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Tags: best practices, Big Data, Internet of Everything, marketing, optimization, personalized marketing, social media
Your house-cleaning robot connects to your lighting system, which connects to your garage door, which connects to your car. All of these devices in turn connect to your smartphone, which, among many other things, enables YOU to connect to a community of like-minded, creative souls looking for — you guessed it — better ways to connect and program things.
This is just a small glimpse into how the Internet of Everything (IoE) is transforming our lives. With its explosion in connectivity — from 10 billion “things” today to 50 billion in 2020 — IoE is changing the world in complex and challenging ways. But there are also exciting opportunities to manage the complexity, share ideas, and drive ever-higher levels of innovation and collaboration.
One name for this new paradigm is the Programmable World.
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Tags: asset utilization, Big Data, Cisco, Cisco Consulting Services, employee productivity, innovation, Internet of Everything, internet of things, IoE, IoE Value Index, IoT, retail, value at stake
Technology is changing the world at an ever increasing rate. The exponential jumps in processing power, mobile technologies, storage, and connection speeds are facilitating a whole new suite of possibilities. We are beginning to see the creation and realities of new connected experiences that allow us to capture and document our lives in countless ways. Our memories and experiences can be digitally chronicled and preserved perhaps forever. Where and how do we store our ever-expanding archive of personal history? How will we be able to find, share, or extract what we need, when we need it?
(Fun Fact: The volume of such data already being saved to the cloud is staggering: in Dropbox alone, one billion files are uploaded every 24 hours!)
Enter the era of the personal cloud. According to Gartner’s IT predictions for 2014, personal cloud will solidify the shift from devices to services. So it won’t matter which device captures information or images; you’re personal cloud will be the hub that centralizes everything. You’ll have almost unlimited potential in recording and archiving your life, with easier and faster access. While this notion of “lifestreaming” – i.e., creating a digital diary and archive of one’s life and activities – has been around for years, social media aggregators like Facebook have only begun to address the scope of what it can be.
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Tags: Big Data, Cisco cloud, cloud
As information consumers that depend so much on the Network or Cloud, we sometimes indulge in thinking what will happen when we really begin to feel the effects of Moore’s Law and Nielsen’s Law combined, at the edges: the amount of data and our ability to consume it (let alone stream it to the edge), is simply too much for our mind to process. We have already begun to experience this today: how much information can you consume on a daily basis from the collective of your so-called “smart” devices, your social networks or other networked services, and how much more data is left behind. Same for machines to machine: a jet engine produces terabytes of data about its performance in just a few minutes, it would be impossible to send this data to some remote computer or network and act on the engine locally. We already know Big Data is not just growing, it is exploding!
The conclusion is simple: one day we will no longer be able to cope, unless the information is consumed differently, locally. Our brain may no longer be enough, we hope to get help, Artificial Intelligence comes to the rescue, M2M takes off, but the new system must be highly decentralized in order to stay robust, or else it will crash like some kind of dystopian event from H2G2. Is it any wonder that even today, a large portion if not the majority of the world Internet traffic is in fact already P2P and the majority of the world software downloaded is Open Source P2P? Just think of BitCoin and how it captures the imagination of the best or bravest developers and investors (and how ridiculous one of those categories could be, not realizing its potential current flaw, to the supreme delight of its developers, who will undoubtedly develop the fix — but that’s the subject of another blog).
Consequently, centralized high bandwidth style compute will break down at the bleeding edge, the cloud as we know it won’t scale and a new form of computing emerges: fog computing as a direct consequence of Moore’s and Nielsen’s Laws combined. Fighting this trend equates to fighting the laws of physics, I don’t think I can say it simpler than that.
Thus the compute model has already begun to shift: we will want our Big Data, analyzed, visualized, private, secure, ready when we are, and finally we begin to realize how vital it has become: can you live without your network, data, connection, friends or social network for more than a few minutes? Hours? Days? And when you rejoin it, how does it feel? And if you can’t, are you convinced that one day you must be in control of your own persona, your personal data, or else? Granted, while we shouldn’t worry too much about a Blade Runner dystopia or the H2G2 Krikkit story in Life, the Universe of Everything, there are some interesting things one could be doing, and more than just asking, as Philip K Dick once did, do androids dream of electric sheep?
To enable this new beginning, we started in Open Source, looking to incubate a project or two, first one in Eclipse M2M, among a dozen-or-so dots we’d like to connect in the days and months to come, we call it krikkit. The possibilities afforded by this new compute model are endless. One of those could be the ability to put us back in control of our own local and personal data, not some central place, service or bot currently sold as a matter of convenience, fashion or scale. I hope with the release of these new projects, we will begin to solve that together. What better way to collaborate, than open? Perhaps this is what the Internet of Everything and data in motion should be about.
Tags: ai, Android, artificial intelligence, Big Data, BitCoin, Blade Runner, cloud, Do Androids Dream of Electric Sheep, Fog, Fog computing, H2G2, Internet of Everything, internet of things, IoE, IoT, krikkit, M2M, Moore Law, Nielsen Law, open source, p2p, privacy, security