The Hortonworks Blog

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.…

On April 2nd, Hortonworks was excited to host the very first Apache Ambari Meetup. Thanks to all those who came along in person and virtually for a lot of vibrant discussion. If you would like to get involved in future Ambari Meetups, please visit this link. We are well on the way to making Hadoop management ‘dead simple’.

We have embedded the sessions below with some notes:

Overview and Demo of Ambari, Yusaku Sako, Hortonworks

  • This session covered Apache Ambari’s mission to “Make Hadoop management dead simple”, Ambari’s 4 major roles: 1) Provision, 2) Manage, 3) Monitor, and 4) Integrate, emphasized that everything that Ambari’s Web Client does is done thru Ambari’s REST API (100% REST), presented high-level architecture, and a live demo on how to provision, manage, and monitor a Hadoop cluster using the latest Ambari 1.2.2 release.

The convergence of big data and cloud is a disruptive market force that we at Hortonworks not only want to encourage but also accelerate. Our partnerships with Microsoft and Rackspace have been perfect examples of bringing Hadoop to the cloud in a way that enables choice and delivers meaningful value to enterprise customers. In January, Hortonworks joined the OpenStack Foundation in support of our efforts with Rackspace (i.e. OpenStack-based Hadoop solution for the public and private cloud).…

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.…

The end of another action-packed week and just before we all head off for the weekend then let’s have a recap on the conversations from this week – we hope you’re enjoying them.

We’re delighted by the response to our Hadoop Patterns of Use whitepaper and presentation - that really seems to have struck a chord with everyone thinking about what Hadoop can really do for their business. You can see that content just below here – an excellent read for the journey home.…

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.…

Check out our new knowledgebase article on Ambari on EC2. With these instructions, you can boot an EC2 Apache Hadoop cluster in minutes using Ambari.

Unstructured data, semi-structured data, structured data… it is all very interesting and we are in conversations about big and small versions of each of these data types every day. We love it…  we are data geeks at Hortonworks. We passionately understand that if you want to use any piece of data for some computation, there needs to be some layer of metadata and structure to interact with it.  Within Hadoop, this critical metadata service is provided by HCatalog.…

We’re cooking up some new tutorials for you to play with in your Hortonworks Sandbox to help you learn more about the Hortonworks Data Platform, Apache Hadoop, Hive, Pig and HCatalog, with maybe a smattering of Mahout in there as well.

More about Sandbox »

While you’re anxiously awaiting, we thought we’d give you some pointers to some resources so that you can experiment and play. After all, that’s what a Sandbox is all about, right?…

“OK, Hadoop is pretty cool, but exactly where does it fit and how are other people using it?”  Here at Hortonworks, this has got to be the most common question we get from the community… well that and “what is the airspeed velocity of an unladen swallow?”

We think about this (where Hadoop fits) a lot and have gathered a fair amount of expertise on the topic.  The core team at Hortonworks includes the original architects, developers and operators of Apache Hadoop and its use at Yahoo, and through this experience and working within the larger community they have been privileged to see Hadoop emerge as the technological underpinning for so many big data projects.…

Hortonworkers are out there – here is a rundown of events and meet ups we’ll be at in the next couple of weeks and we hope we’ll see you there. Did we miss any? Want us to attend your event? Let us know!

Big Data Innovation Summit

April 10-11, 2013, San Francisco, CA

http://theinnovationenterprise.com/summits/big-data-innovation-summit-april-2013-san-francisco

Spring into April and jump into Big Data! Be sure to meet us at Big Data Innovation Summit by the bay.…

More of a 2 weeks in review this time around owing to the Easter break. So what’s been happening?

Falcon bringing Data Lifecycle Management for Hadoop. The big news this week was the newly approved Apache Software Foundation incubator project – Falcon. The project was initiated by the team at InMobi and engineers from Hortonworks towers with the intent of simplifying data management through a data lifecycle management framework. Something for everyone then. …

With any enterprise software implementation, the challenge is often the integration of a chosen system with existing enterprise systems architecture. One such existing investment may be an ERP (and related) systems such as those provided by SAP. In this real-world instance, SAP partnered with Hortonworks to enable integration of Apache Hadoop into SAP Real-Time Data Platforms using Hortonworks Data Platform to facilitate business intelligence and analysis of Big Data.

The business challenges at hand will be familiar to everyone and are a great fit for a Hadoop solution.…

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