Despite the Hadoop hype machine crunching away, not everyone is fond of that little yellow elephant. In fact, some fear it. But why should the cute mammal and the innovative data processing technology that it represents raise anxiety levels? Everyone has their reasons.
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All things data
The Sochi 2014 Winter Olympics were the most celebrated winter games on the net. Their official website had more visitors in one night than Vancouver 2010 had during the entire games and in the first five days alone there were 2.2 million tweets mentioning the #Sochi2014 hashtag. Following our own post on integrating social data with Big Data we decided to jump on the bobsled and perform a Twitter analysis of the Sochi 2014 Winter Olympics using our very own Xplenty Hadoop-as-a-Service
Big Data was always around in some form or another. At some point, businesses decided to use that information to learn what makes their clients tick with phrases like "sales funnel analysis";, "actionable insights", and "positive business impact". So it stands to reason that Big Data was viewed through green (read: money) colored lenses.
Monday, December 23. The office is buzzing, at least from the people that didn’t take off the whole week. No one can concentrate, it’s almost time for presents and food, and family, and more presents and food, and even a holiday trip for some. Everyone is talking about where they’re going, what they’ll be doing. Yeah, well, good for you all.
As you know, Hadoop can be downright painful to code. However one of our DevOps, Leonid Mirsky, has done a great job writing a tutorial for creating a test environment on Ubuntu using vagrant 1.3.5 and VirtualBox version 4.1.12. Here’s a little teaser and a link to his blog. Thanks Leonid!
With all of the various providers around here, as an attendee it can sometimes be easy to get lost in the sea of technology. However we had a great time today demoing our SaaS Hadoop to at least 100 people. Success.
The first full day of re:Invent has come and gone, and it was a great day. Thousands of people from all areas of technology connecting and learning, and most importantly spreading knowledge.
Here we are...AWS re:Invent 2013 in Vegas baby Vegas!
We're excited to partner with Hortonworks, the makers of the Hortonworks Data Platform. We believe Hortonworks plays a significant role in the Hadoop ecosystem and powering Xplenty with HDP provides us with the performance and scalability we need in order to deliver our service.
Xplenty will be presenting at exhibiting in SAP TechEd taking place on Oct. 21-25, at The Venetian/Palazzo Congress Center in Las Vegas. The date is rapidly approaching and we can hardly contain ourselves. With people coming from all over the US and the world, the exchange of ideas and technologies will definitely spur new concepts and products. Just as important, we’ll get to hear from a couple of pioneers from the industry, listen to their stories, and apply their personal experiences to our own.
Everyone is always looking for the next big thing. Big Data isn’t the next big thing, it’s already the big thing. Anyone in an industry that collects mass amounts of data knows what that data means to the success of their company. What’s less apparent, however, is how to utilize that data. The need to properly use the data has presented a plethora of challenges and solutions. To meet these challenges, technologies like Hadoop have been developed and occupations have evolved as a result.
A couple of weeks ago we posted about the datafication of everything, with a few examples of what can be quantified, and what we can do with that quantified data. And while the advent of Google Glass has made it so that we can absorb gobs more data, there are so many other products that we haven’t heard about that can give us measurable metrics on any and all facets of our lives. Couple that with Big Data technologies employed by healthcare providers, as well as the predictive analysis capabilities of technologies like Hadoop, and we should see a convergence of these that will someday contribute to a decrease in preventable illnesses and diseases.
Since studies show people are lazy and can only pay attention for a certain amount of time, writing posts in list form is more...hey anyone see the new Star Trek?
So I thought I was being original for writing a piece on datafication. But when I searched it, I saw that many before me had written about it, and just like the word "Big Data", so too had datafication become a buzzword, just like buzzword before it had become a buzzword. But like Chumbawumba, I get up again, and this will not keep me down.
Paula Rosenblum writes a fun piece regarding the creepiness of retailers using their Big Data. In it, she contends that targeting our past purchases to send us relevant offers is smart business, but that the use of retargeting tools and practices is downright creepy. But how creepy is it really?
The four V’s. If you're reading this post, chances are good you know what they stand for. In the off-chance you don’t, they represent volume, variety, velocity, and value. The first three are relatively quantifiable. The fourth, however, is a bit less tangible, less quantifiable, and as a result it makes it hard to associate a solid ROI to the concept of Big Data usage.
When you think of Big Data, the types of companies using it are probably technology based, perhaps in the finance sector, marketing, websites, and anyone else that needs to process their structured, semi structured, or unstructured data for insights. But what about offline businesses? They probably have a website, but their business transactions are typically done face to face.
Remember back in the day, when phones were for talking and computers were for writing term papers? Not like this is news, but things are a little different now.
Big Data and Big Brother: Can Security and Privacy Go Hand In Hand, or Does it Even Matter?
After a weeks long contest in which 42 different companies were voted on and compared, Xplenty prevailed and was listed on CIO.com's Top 10 hottest Big Data startups. Thank you so much to Jeff Vance for the great writeup, and thanks to all those that voted for us. We appreciate everything.
I remember one time on a status update thread, a friend mentioned something about being bad at finding her way around Tel Aviv. My response was that probably in the near future, there will be internet enabled contact lenses so she can use google maps to go everywhere, including detailed instructions on getting to the bathroom, the kitchen, and living room, thus completely removing any future need for thought when it comes to finding anything. At any time. Ever.
Your very own Xplenty was one of 25 companies chosen from a field of over 100 to present at Tech Tour's 2nd Cloud & Big Data Summit on November 21-22, 2012 in Lausanne, Switzerland. We were identified as one of the upcoming and leading high-growth privately held Cloud & Big Data companies in the region. The Cloud & Big Data Summit is the only event that gathers high profile insiders, established start-ups and venture capitalists to delve into the heart of today's most pressing Cloud & Big Data related challenges and topics.
With your big data comes the need to secure it. How awful would it be if your competition got a hold of your data and used it against you, to their benefit? A lot. In Thor Olavsrud’s Nov. 12 column in CIO.com, he delves into some of the things that you, as a company using its data, need to know to keep it safe.
In order for businesses to become truly data-driven in their marketing initiatives, they need the right tools gathering the data and the right people we call "data scientists" deciphering the intelligence. One of the most important elements to the success and effectiveness of SEAL missions is the intelligence gathered and interpreted by our "intel" support teams. We would have been nothing without them.
It used to be that it only made sense for the real big guys to employ big data. They have lots to move in only a short time to do it, and all of the emerging technologies are making it easier and less expensive to do so.
With every new advancement, whether technological, medical, industrial, or other, the question of "what impact will this have on the environment?" is bound to arise. Big Data is not immune.