Hadoop Insights

News about Hadoop in the wild; how Hadoop is being used; how Hadoop can be used.

Airline pricing has always been a mystery to me, a combination of art and science allowing the airline to make as much money as possible on each flight while providing the customer the options and flexibility they want. Under the covers I know there are complex models the airlines use to determine how many seats have been sold and how much they can get for the remaining seats. I didn’t realize how seriously complex the models were but more importantly, the opportunity available to the travel industry to become more customer-centric while staying competitive by harnessing the data now available to them.…

By now, you’re probably well aware of what Hadoop does:  low-cost processing of huge amounts of data. But more importantly, what can Hadoop do for you?

We work with many customers across many industries with many different specific data challenges, but in talking to so many customers, we are also able to see patterns emerge on certain types of data and the value that could bring to a business.

We love to share these kinds of insights, so we built a series of video tutorials covering some of those scenarios:

Some more detailed discussion of these types of data is in our ‘Business Value of Hadoop’ whitepaper.…

The following is a guest post from Scott Gnau, President, Teradata Labs

I continue to be astonished by the evolution of Apache Hadoop, the software framework for large scale computing that has flourished thanks to a dynamic open source ecosystem. An army of contributors, including the smart engineers and contributors at Hortonworks, constantly refines Hadoop’s ability to manage massive amounts of data on computer clusters via MapReduce processing and the underlying Hadoop Distributed File System (HDFS).…

What is the value of Hadoop to your business? What value lies in your big data?

There are a MANY definitions of big data out there.  In fact, we have published two of them to our blog alone and I am sure we can dream up of a few more.  However, when it comes down to it, our customers know best.  After all, they are the users of Hadoop.

New Whitepaper: “Business Value of Hadoop”.…

Successful social advertising campaigns today take a special blend of data intelligence and automation – enabling businesses to link fluctuations in media and tactics to sales and revenues.  Those with better data relative to their competitors, will be positioned to outperform their peers tactically and, if used effectively, strategically.  At one of the fastest growing Advertising Technology startups, harnessing Big Data made big sense in a highly competitive business environment.

The Advertising Technology startup sells Social Ad Campaign management software and wanted its in-house engineering team to focus on its core product and to outsource certain areas of its non-core technology needs.…

It’s an exciting time in the analytics space. The promise of big data analytics is driving big investment in the companies that are multiplying the benefits of big data by putting it into the hands of business users.

Talk of Big Data and the Ramifications

Every day we hear of the coming benefits of big data. Some benefits have huge ramifications for us – think about how faster medical diagnoses will impact you and your family.…

Smartphones have transformed our daily lives. A key indicator of this trend is our increased spend on data plans versus voice. We are a new generation of people who are in a constant state of activity, communication, and community building wherever we go ─ including the couch in front of the television where we can multi-screen and multi-task!

What does this mean for the Mobile Telecom industry?  For one of the top five mobile phone service providers in the world, responsible for developing and managing advanced data services for European countries with data services including mobile internet access for various devices, mobile email, instant messaging, news, weather updates and traffic reports ─ it means as mobile data services grow in revenue, so does the need to monitor that contribution easily and accurately.…

Retailers today are faced with addressing the new behaviors of an evolving customer base by leveraging the changing landscape and its new dynamics.  Retail consumers online are sharing, friend validating, researching, learning and developing a point of view ─ offline they are touching, brand comparing and brand associating.  Retailers now more than ever before have to think in terms of “integrated commerce” and leverage Big Data for big results in the marketplace.…

Today, 94% of Hadoop users perform analytics on large volumes of data that were not possible before. How do they do it? Cool applications, that’s how.

You have seen various stats that indicate enterprises need better ways of making use of data but they bear repeating: The volume of business data worldwide, across all companies, doubles every 1.2 years, according to a study published by eBay in May, 2012. And market research firm IDC released a forecast showing the big data market may grow from $3.2 billion in 2010 to $16.9 billion in 2015.…

A few weeks back we posted a definition of “big data”.  There was definitely some internal conversation about the term and if this definition had captured what the term means.  Sum finding: it is a loaded term.  It means a lot of different things to a lot of different people.

When I first joined Hortonworks, I bought in to the three V’s (volume velocity and variety) definition of big data. …

This is the second part of a series written by Charles Boicey from UC Irvine Health (part 1 is here). The series will demonstrate a real case study for Apache Hadoop in healthcare and also journal the architecture and technical considerations presented during implementation.

It has been 232 days since the last post. Much has transpired including a rebranding of the organization from UCI Medical Center to UC Irvine Health.…

‘Big Data’ has become a hot buzzword, but a poorly defined one. Here we will define it.

Wikipedia defines Big Data in terms of the problems posed by the awkwardness of legacy tools in supporting massive datasets:

In information technology, big data[1][2] is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.

It is better to define ‘Big Data’ in terms of opportunity, in terms of transformative economics.…

When the term scientific computing comes up in a conversation it’s usually just the occasional science geek who shows signs of recognition. But although most people have little or no knowledge of the field’s existence, it has been around since the second half of the twentieth century and has played an increasingly important role in many technological and scientific developments. Internet search engines, DNA analysis, weather forecasting, seismic analysis, renewable energy, and aircraft modeling are just a small number of examples where scientific computing is nowadays indispensible.…

At Hortonworks, we fundamentally believe that, in the not-so-distant future, Apache Hadoop will process over half the world’s data flowing through businesses. We realize this is a BOLD vision that will take a lot of hard work by not only Hortonworks and the open source community, but also software, hardware, and solution vendors focused on the Hadoop ecosystem, as well as end users deploying platforms powered by Hadoop.

If the vision is to be achieved, we need to accelerate the process of enabling the masses to benefit from the power and value of Apache Hadoop in ways where they are virtually oblivious to the fact that Hadoop is under the hood.…

Back in June we joined Teradata Aster in a webcast “Back to the Future – MapReduce, Hadoop and the Data Scientist” to highlight the benefits of Apache Hadoop and the role that data scientists are playing in big data. You can check out the replay here. The discussion focused around how big data architectures could bring more value to businesses using relational DBMS technology and Hadoop, and how the two can coexist.…

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