The Hortonworks Blog

Posts categorized by : Hadoop in the Enterprise

If you’re considering the WHY, the HOW and the WHAT of Hadoop and Big Data in your business, then this collection of papers and ebooks is your friend.

  • WHY does Hadoop matter? Our eBook “Disruptive Possibilities of Big Data” paints a picture of the future of the data-driven business and how it changes everything.
  • HOW does Hadoop work in my data architecture? As part of a modern data architecture, Hadoop sits alongside existing infrastructure and augments its capabilities through Refining and Exploring big datasets and ultimately enriching the application and customer experiences for your business.

One of the big opportunities that Hadoop provides is the processing power to unlock value in big datasets of varying types from the ‘old’ such as web clickstream and server logs, to the new such as sensor data and geolocation data.

The explosion of smart phones in the consumer space (and smart devices of all kinds more generally) has continued to accelerate the next generation of apps such as Foursquare and Uber which depend on the processing of and insight from huge volumes of incoming data.…

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.…

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”.…

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.…

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.…

And we are just about done with this week. But not quite – dig into the conversation from the past few days.

Hadoop Summit. We published the vast majority of sessions (70 so far) for the Hadoop Summit in San Jose, 26-27 June. The sessions stretch across 7 tracks from Architecture to Economics and we hope you can join us for THE Hadoop community event of the year. You can register here, and the schedule is here.…

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. …

As a preview to the April 30th webinar: Hadoop & the EDW: When to Use Which, Chad Meley, Global Director of Marketing at Teradata, interviewed the two luminary speakers, Eric Baldeschwieler (aka “eric14”) and Stephen Brobst, about the purpose of their presentation and what you can expect to take away from their shared experiences.

Chad:  “Eric, in this webinar you’re going to talk about the strategic role of relational big data technologies, which have come under fire in some circles with the rise of Hadoop. …

In a recent blog post I mentioned the 4 reasons for using Hadoop for data science. In this blog post I would like to dive deeper into the last of these reasons: data agility.

In most existing data architectures, based on relational database systems, the data schema is of central importance, and needs to be designed and maintained carefully over the lifetime of the project. Furthermore, whatever data fits into the schema will be stored, and everything else typically gets ignored and lost.…

Data scientists are in high demand these days. Everyone seems to be hiring a team of data scientists, yet many are still not quite sure what data science is all about, and what skill set they need to look for in a data scientist to build a stellar Hadoop data science team. We at Hortonworks believe data science is an evolving discipline that will continue to grow in demand in the coming years, especially with the growth of Hadoop adoption.…

While we are quite a far way away from hearing “Houston, tranquility base here… the eagle has landed”, the HP moonshot is definitely pushing us all toward a new class of infrastructure to run more efficient workloads, like Apache Hadoop. Hortonworks applauds the development of flexible Big Data appliances like Moonshot. We are excited about this development as it signals alignment across development, operations and infrastructure within organizations.  For quite some time, our team has been accustomed to a natural balance required across these three constituents and now the server the market is joining in on the game.…

Over the last 10 years or so, large web companies such as Google, Yahoo!, Amazon and Facebook have successfully applied large scale machine learning algorithms over big data sets, creating innovative data products such as online advertising systems and recommendation engines.

Apache Hadoop is quickly becoming a central store for big data in the enterprise, and thus is a natural platform with which enterprise IT can now apply data science to a variety of business problems such as product recommendation, fraud detection, and sentiment analysis.…

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.…

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