Upcoming Event: IE Chief Data Officer Summit

Are you attending the Chief Data Officer Summit in San Francisco this year? Our partners at IE know how to put together a fantastic event—but if you haven’t attended one before, here’s the breakdown on what you can expect.

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Chief Data Officer Summit: May 22-23, San Francisco, 2014
Data Strategy Innovation
The Chief Data Officer summit brings together top data leaders for 2 days of networking and interactive learning, with this year’s topics including Fostering an Enterprise Data Mindset, Building a Data Driven Culture, Mining Brilliance From Your Data, and others.

Why should you attend?

  • 20+ industry expert keynote presentations
  • 150 big data & analytics professionals attending
  • Interactive workshops with industry leaders
  • Over 10 hours of networking opportunities included
  • Access to online presentations on-demand post-summit
  • 25+ case studies presented from leading organizations

Let us know in the comments if you plan on attending this year—and if you’re interested, there’s still time to register.

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Join Us at the Big Data Conference Next Week

Are you planning on attending the Global Big Data Conference in Dallas? We hope you are. Two of our executive chimps, Flip Kromer and Eddie Satterly, will take the stage at the Global Big Data Conference’s Big Data Bootcamp next week to present on Storm and other big data tools. This conference, targeted to both technical and non-technical people who want to understand the emerging world of big data, takes place from May 9-11 — and registration is still open.

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Here’s a breakdown of the schedule:

Selecting the Right Big Data Tool for the Right Job, and Making It Work for You
Eddie Satterly | Day 1 – Friday May 9, 2014 | 5-6PM 
Join our CTO, Eddie Satterly, as he speaks on the various types of big data solutions—from open-source to commercial solutions—and the specific selection criteria and profiles of each. As in all technology areas, each solution has its own sweet spots and challenges either in CAP theorem, ACID compliance, performance or scalability. This class will provide an overview of the technical tradeoffs for the list of solutions in technical terminology. Once the technical tradeoffs are reviewed, Eddie will review the cost and value of open-source solutions versus commercial software, and the trade-offs that folks must take to choose one over the other. The next phase will go into great detail on use cases for specific solutions based on real-world experience.
See more details HERE.

Deathmarch Through the Internals of Storm + Trident
Flip Kromer | Day 2 – Saturday May 10, 2014 | 5-6PM
Join our co-founder, Flip Kromer, as he deep-dives into Storm+Trident, the incredibly exciting open-source framework for streaming analytics. Storm enables scalable high-throughput processing by programs in your language of choice, on distributed networks of commodity servers. Trident extends Storm to allow exactly-once processing, enabling large-scale aggregations and advanced analytics in real-time. You’ll leave knowing enough about the Storm+Trident internals to be able to reason about your programs’ performance and confidently bring it to production.
See more details HERE.

Global Big Data Conference is offering a 3 day extensive bootcamp on Big Data. This is a fast paced, vendor agnostic, technical overview of the Big Data landscape. No prior knowledge of databases or programming is assumed. Big Data Bootcamp is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop, NoSQL & Machine Learning. Attendees will experience real Hadoop clusters and the latest Hadoop distributions.

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A Guide to the Internet of Things [Infographic]

Every so often there comes along a fact or prediction about the future of technology that blows my mind. This infographic, published by BusinessIntelligence.com, takes us on a tour of the Internet of Things landscape, exploring its current state and its future possibilities. This fact in particular is the one that got me this week: “Our Internet of Things world is growing at a breathtaking pace — from 2 billion objects in 2006 to a projected 200 billion objects by 2020.” Not only that but by 2025, the total global worth of IoT technology could reach up to $6.2 trillion, with healthcare and manufacturing making up the bulk.

This infographic goes into a variety of different industry examples, but I’m especially happy to see that robotic machinery got a shout out. (If you missed it, check out one of my previous blog posts on the quantified cow, where I talk about robotic milking machines.)

View the full infographic below and let us know what you think. Did anything in particular blow you away?

IoT Infographic A Guide to the Internet of Things [Infographic]

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10 Social Media Facts You Should Know in 2014

Did you know 500 million tweets are sent every day? Or that more than 55 million photos are shared every day? The online social landscape is impressive — both Facebook and YouTube have more than 1 billion users, Twitter has 232 million active users (and 651 million accounts), and Pinterest has more than 70 million users, just to name a few. There’s no doubt about it — that’s a staggering amount of people connecting through the Internet. While the popularity of these sites may be something we’ve known for a long time, the amount of data shared and transmitted on each social network just may surprise you.

Check out the video below (created by 24motiondesign) and let us know what you think in the comments. Did these stats surprise you?

Explore more visuals like this one on the web’s largest information design community – Visually.

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Tell the White House What You Think About Their Use of Big Data

When you think of the US government and big data, it’s almost impossible not to think about the issue of privacy and the growing concerns surrounding it. In light of multiple controversies surrounding this topic including Edward Snowden, the NSA and general US spying, the government has (perhaps belatedly) opened conversations on the future of privacy — and you can join in.

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Back in January the White House launched a 90-day comprehensive review on the use of big data and its impact on the future of privacy. Part of this review includes a short, public survey where you can voice your opinions on who you trust (or don’t) with your data. The survey asks a series of questions like how different types of data collection concern you (with options ranging from “not at all” to “very concerned”), and there’s a free-form section where you can share everything on your mind. Headed by President Obama’s counselor John Podesta, the review should offer insight and eventually lead to an action plan on how the government uses big data.

We know you have lots to say about this so go on, tell the prez what you think HERE. While you’re at it, let us know what you think about this initiative in the comments too — we’re curious!

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Science Tells Us How to Have a Happy Relationship

The secret to a happy relationship has finally been cracked thanks to Happify and countless hours of scientific research. Now I know some of you have probably seen this infographic before (probably a couple months ago around Valentine’s Day), but I thought it was so good I had to share in case you missed it. Also who doesn’t want a few tips every now and then about how to dominate your romantic life?

The infographic includes some insightful pointers, but here’s a little tip of my own to help send you down the path to happiness with your partner — send it to your significant other for brownie points because it’s going to start a dialogue. Not only that but it’s going to start a positive dialogue (I’m 95% sure on that but don’t quote me), which just so happens to be the number one takeaway: Have a good positive to negative interaction ratio. This is probably the most important message, and the rest is all about how to reach that ratio.

Getting a good positive to negative interaction ratio comes in many shapes and sizes, but we’ll let the data speak for itself. Here’s how you and your partner can make it happen:

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25 Years of the World Wide Web

Anyone reading this blog post right now knows the significance of the World Wide Web. It’s an invention that has revolutionized our world and given rise to seemingly boundless creativity, innovation, collaboration and knowledge — but it hasn’t yet reached its full potential. Father of the Web, Tim Berners-Lee, named some of the key challenges we still face:

  • How do we connect the nearly two-thirds of the planet who can’t yet access the Web?
  • Who has the right to collect and use our personal data, for what purpose and under what rules?
  • How do we create a high-performance open architecture that will run on any device, rather than fall back into proprietary alternatives?

Berners-Lee and the Web Foundation are launching the net-neutrality Web We Want campaign to promote changes in public policy to make sure the web stays open, free and accessible. In his guest blog post for Google Berners-Lee writes, “On the 25th birthday of the web, I ask you to join in—to help us imagine and build the future standards for the web, and to press for every country to develop a digital bill of rights to advance a free and open web for everyone. Learn more at webat25.org and speak up for the sort of web we really want with #web25.”

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The Quantified Cow: The Internet of Things for the Dairy Industry

The future is here. We’ve all heard about the Internet of Things, another buzz word circulating the tech community recently. Although technically in existence for more than two decades, the Internet of Things movement has gained greater momentum in the last few years—most notably stepping into a bigger spotlight with Google’s $3.2 billion purchase of Nest Labs, a home device company responsible for the best-selling Nest thermostat. By keeping track of manually inputted temperature settings and surrounding environmental data like room humidity and lighting, Nest eventually collects enough data to learn the daily behavior and preferences of the residents in the home.

These ideas tie into the concept of the Quantified Self, the movement to incorporate technology into data acquisition on aspects of a person’s daily life. Things like daily food consumption, quality of surrounding air, blood oxygen levels, physical and mental performance, and even mood and arousal can be tracked, measured and analyzed—all in the name of improving daily functions and making better decisions (or maybe just nodding thoughtfully at the data instead).

Milking the Benefits in the Dairy Industry

So how does the Quantified Self and the Internet of Things fit with cows, pastures, farmers and milk? Three words: robotic milking machines. Dutch company Lely, self-proclaimed innovators in agriculture, created the Astronaut A4, a state-of-the-art “fully automated milk harvester.” Although the robotic milking machine will set you back about $200,000, the Lely Astronaut A4 collects a large range of cow data to help dairy farmers make better decisions regarding milk production and herd management.

cow 300x168 The Quantified Cow: The Internet of Things for the Dairy Industry

The A4 keeps track of each individual cow’s feeding and health history, preventing cows from sneaking back into the machine for more food if they return too close to their last visit. The system tracks different variables on each cow as it’s being milked: its weight, milk production, time required for milking, amount of feed eaten, and how long the cow chews on its cud. If there’s a health issue with one of the herd, farmers can isolate the problem right away. The machine collects data on the milk itself too, checking the color fat and protein content, temperature, somatic cell count and overall quality.

Equipped with access to more data, dairy farmers are able to gain greater knowledge into their industry and thus maximize outputs. All of this data have translated to better decision-making for the farmers, better quality control of milk production and generally happier cows—and who doesn’t want happy cows? Having a machine do the work allows farmers to focus their energy elsewhere too, freeing up time for really anything else. The trend is clear: as the technology continues to get better, I have a feeling we’ll be seeing a lot more quantifiable and actionable data. Quantified Self, the movement to incorporate technology into data acquisition on aspects of not only a person’s daily life, but a cow’s daily life as well.

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Take Our CIO & Big Data Survey (and win $100 Amazon gift cards)

We learned a lot from our 2013 CIOs & Big Data report — for instance, that 96% of enterprises have Big Data in their top 10 priorities list, but 55% of Big Data projects aren’t completed. This year we’re interested in seeing if the stats have changed, and we want to hear from you.

takethesurvey big Take Our CIO & Big Data Survey (and win $100 Amazon gift cards)

Take this quick survey and tell us what you really want your execs to know when doing Big Data projects. It only takes 10 minutes, and you can win awesome prizes like $100 Amazon gift cards and a membership to SSWUG.org, one of the largest community-driven sites focused on enterprise technology, IT education and professional growth.

Although the gift cards cap out at $100, we think letting your execs know how you truly feel is pretty priceless. Take the survey here.

162e2ef6 f2d3 4701 97b7 4fd140b7a864 Take Our CIO & Big Data Survey (and win $100 Amazon gift cards)

Reinvention of Enterprise Analytics

Authors: Mark Lenke and Shawn Nelson

Breaking the Barriers of Time and Expense

There’s no doubt that companies have benefited tremendously from business intelligence (BI) applications. Enterprise business intelligence (EBI) has enabled companies to spot emerging trends, identify new markets, serve customers more effectively and improve operational efficiencies.

Recently though, EBI solutions have had a hard time adapting to the information explosion that companies have experienced. Attempting to stuff massive volumes of data into the structure required by traditional BI systems is inefficient, expensive and time consuming.

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What’s more, systems have become more complex and difficult to use, limiting the types of insights that can be generated in a reasonable time frame. Big data solutions, which can efficiently handle large volumes of data, can also require people with a specific and hard-to-find skill set in order to get results. Typically, business process experts feel shut out from advances because new systems are too hard to use.

As a result, many companies have avoided implementing more advanced BI or next-generation big data solutions because there is a perception — real or imagined — that they take too much time and are too hard to use to justify the expense involved in implementation.

But avoiding the change means that companies are missing out on opportunities to gain new insights that can radically transform their business. The next generation of BI systems, commonly referred to as big data, offers a huge leap forward in capabilities and features. Big data and analytics can help companies ask sophisticated, forward-looking questions that make new connections between seemingly unrelated trends. Big data and analytics can power new types of applications that provide real-time feedback, putting insights directly into the hands of people who can use that information.

This paper examines advances in big data infrastructure and applications that can help companies overcome the challenges associated with bringing these new systems to life.

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Read the full article “Reinvention of Enterprise Analytics” and gain access to the “Breaking the Barriers of Time and Expense” white paper on the CSC Big Data & Analytics blog.

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