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Happy New Year, everyone!

I’m excited to kick-off our first webinar series for 2013: The True Value of Apache Hadoop.

Get all your friends, co-workers together and be prepared to geek out to Hadoop!

This 4-part series will have a mixture of amazing guest speakers covering topics such as Hortonworks 2013 vision and roadmaps for Apache Hadoop and Big Data, What’s new with Hortonworks Data Platform v1.2, How Luminar (an Entravision company) adopted Apache Hadoop, and use case on Hadoop, R and GoogleVis.…

What:             “Hortonworks State of the Union and Vision for Apache Hadoop in 2013” webinar

Who:               Shaun Connolly, Vice President of Corporate Strategy, Hortonworks

When:             Tuesday, January 22, 2013 at 1:00 p.m. ET/10:00am PT

Where:           http://info.hortonworks.com/Winterwebinarseries_TheTrueValueofHadoop.html

Click to Tweet: #Hortonworks hosting “State of the Union” webinar to discuss 2013 vision for #Hadoop, 1/22 at 1 pm ET. Register here: http://bit.ly/VYJxKX

The “State of the Union” webinar is the first in a four-part Hortonworks webinar series titled, “The True Value of Apache Hadoop,” designed to inform attendees of key trends, future roadmaps, best practices and the tools necessary for the successful enterprise adoption of Apache Hadoop.…

Hortonworks Data Platform 1.2 is now available for download at: http://hortonworks.com/products/hortonworksdataplatform/.

Hortonworks Data Platform (HDP) 1.2, the industry’s only complete 100-percent open source platform powered by Apache Hadoop is available today. The enterprise-grade Hortonworks Data Platform includes the latest version of Apache Ambari for comprehensive management, monitoring and provisioning of Apache Hadoop clusters. By also introducing additional new capabilities for improving security and ease of use, HDP delivers an enterprise-class distribution of Apache Hadoop that is endorsed and adopted by some of the largest vendors in the IT ecosystem.…

Hadoop Summit North America 2013, the premier Apache Hadoop community event, will take place at the San Jose Convention Center, June 26-27, 2013. Hosted by Hortonworks, a leading contributor to Apache Hadoop, and Yahoo!, Hadoop Summit brings together the community of developers, architects, administrators, data analysts, data scientists and vendors interested in advancing, extending and implementing Apache Hadoop as the next-generation enterprise data platform.

This 6th Annual Hadoop Summit North America will feature seven tracks and more than 80 sessions focused on building, managing and operating Apache Hadoop from some of the most influential speakers in the industry.…

At Thanksgiving we took a moment to reflect on the past and give thanks for all that has happened to Hortonworks the past year.  With the New Year approaching we now take time to look forward and provide our predictions for the Hadoop community in 2013.  To compile this list, we queried and collected big data from our team of Hadoop committers and members of the community.

We asked a few luminaries as well and we surfaced many expert opinions and while we had our hearts set on five predictions, we ended up with SEVEN. …

This blog is a follow up on our previous blog “Snapshots for HDFS

In June we had posted an early prototype of snapshots that allowed us to experiment with a few ideas in HDFS-2802. Since then we have added more details to the design document and made significant progress on a brand new implementation (over 40 subtasks in HDFS-2802).

Some of the highlights of this new design include:

  • Read-Only Copy-on-Write (COW) snapshots (but can be extended RW later)
  • Snapshots for entire namespace or sub directories
  • Snapshots are managed by Admin, but users are allowed to take snapshots
  • Snapshots are efficient
  • Creation is instantaneous with O(1) cost.

Over the course of 2012, through Hortonworks’ leadership within the Apache Ambari community we have seen the rapid creation of an enterprise-class management platform required for enabling Apache Hadoop to be an enterprise viable data platform.  Hortonworks engineers and the broader Ambari community have been working hard on their latest release, and we’d like to highlight the exciting progress that’s been made to Ambari, a 100% open and free solution that delivers the features required from an enterprise-class management platform for Apache Hadoop.…

For the last couple months, Hortonworks has been excited to be a proud sponsor of the Big Analytics 2012 roadshow.  These roadshows have provided us some great insights into the role of Apache Hadoop in this emerging Big Data market.  We had some great discussions with attendees regarding their current and future plans for the use of Hadoop and other Big Data technologies. Another interesting insight was the need for Data skills, people who know what to ask of that data and how to use tools like Hadoop to provide patterns, answers, interpretations and present the data.…

If you been following #hadoopsummit on twitter you might have noticed some excitement around the community choice, a public voting system that enables the entire Apache Hadoop community to have a say in the sessions chosen for #hadoopsummit EU. Anyone can vote and the top vote getters in each track will automatically be included in the #hadoopsummit EU agenda, March 20-21, 2013.

If you’re still deciding which sessions, in which tracks, should be so lucky to get your vote, I have one for your consideration.…

Thankful…

Happy Thanksgiving!

Today, like the rest of the U.S., we take a pause from our regular blog schedule to give thanks…

We are thankful for mappers and reducers. We are thankful for namenodes and jobtrackers. We give thanks to speculative execution battling the march of the last reducer. Give thanks to every petabyte, terabyte, gigabyte, file and block of data. We are thankful for the capacity scheduler.

We are very thankful for many things here at Hortonworks and I know many of us are thankful for an extra long weekend.…

As we speed towards wide spread enterprise adoption of Apache Hadoop, it has become readily apparent that this new data platform must not only capture, process and distribute data, but it also must be able to be deployed in a variety of ways, be it on premise, in a VM, as an appliance or better yet in the cloud…

Today we announced a new relationship with Rackspace in which we will develop an OpenStack based Hadoop solution for the public and private cloud.…

Visit Hortonworks at Strata New York!

We are so excited to attend O’Reilly Strata Conference in New York next week! If you are going to be there,  please come by booth 16 meet the members of the Hortonworks team who will be happy to discuss any questions you have about Hortonworks Data Platform, business benefits, see a nice demo and walk away with cool swags!

Hortonworks will also be participating in an array of sessions and meet-ups at this conference.…

Hortonworks Summer Internship 2012

As a first time intern, I can undoubtedly say that Hortonworks was the perfect place for me to gain real world work experience and have the chance to team up with many incredibly talented, driven people. Of course, I didn’t get to fully interact with everyone in the company in the three months that I was here but even after such a short time it is clear to me that it is the welcoming atmosphere and the determined team here that have allowed Hortonworks to achieve so many goals in just over a year.…

Hortonworks Data Platform 1.1 Brings Expanded High Availability and Streaming Data Capture, Easier Integration with Existing Tools to Improve Enterprise Reliability and Performance of Apache Hadoop

It is exactly three months to the day that Hortonworks Data Platform version 1.0 was announced. A lot has happened since that day…

  • Our distribution has been downloaded by thousands and is delivering big value to organizations throughout the world,
  • Hadoop Summit gathered over 2200 Hadoop enthusiasts into the San Jose Convention Center,
  • And, our Hortonworks team grew by leaps and bounds!
Series Introduction

Apache Pig is a dataflow oriented, scripting interface to Hadoop. Pig enables you to manipulate data as tuples in simple pipelines without thinking about the complexities of MapReduce.

But Pig is more than that. Pig has emerged as the ‘duct tape’ of Big Data, enabling you to send data between distributed systems in a few lines of code. In this series, we’re going to show you how to use Hadoop and Pig to connect different distributed systems to enable you to process data from wherever and to wherever you like.…

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