The Hortonworks Blog

Posts categorized by : Hadoop in the Enterprise

What lessons might the anime (Japanese animation) “Ghost in the Shell” teach us about the future of big data?  The show, originally a graphic novel from creator Masamune Shirow, explores the consequences of a “hyper”-connected society so advanced one is able to download one’s consciousness temporarily into human-like android shells (hence the work’s title).  If this sounds familiar, it’s because Ghost in the Shell was a major point of inspiration for the Wachowski brothers, the creators of the  Matrix Trilogy.…

Weather Hurts

Catastrophic weather events like the historic 2011 floods in Pakistan or prolonged droughts in the horn of Africa make living conditions unspeakably harsh for tens of millions of families living in these affected areas.  In the US, the winter storms of 2009-2010 and 2010-2011 brought record-setting snowfall, forcing mighty metropolises into an icy standstill. Extreme weather can profoundly impact the human kind.

The effects of extreme weather can send terrible ripples throughout an entire community. …

Big data. These are two words the world has been hearing a lot lately and it has been in relevance to a wide array of use cases in social media, government regulation, auto insurance, retail targeting, etc. The list goes on. However, a very important concept that should receive the same (if not more) recognition is the presence of big data in human genome research.

Three billion base pairs make up the DNA present in humans.…

Having worked at JBoss and Red Hat from 2004 to 2008 and SpringSource and VMware from 2008 to 2011, I’ve been focused on the world of open source software for a long while. I’ve been blessed to be able to serve enterprise customer needs with high quality open source software such as JBoss Application Server, Hibernate, Drools, Apache Web Server, Apache Tomcat, Spring … and now Apache Hadoop.

As specific open source technologies mature and their use becomes mainstream, it becomes increasingly important to understand and communicate the balancing act that needs to happen between community innovation and enterprise stability.…

Series Introduction

This is part one of a series of blog posts covering new developments in the Hadoop pantheon that enable productivity throughout the lifecycle of big data.  In a series of posts, we’re going to explore the full lifecycle of data in the enterprise: Introducing new data sources to the Hadoop filesystem via ETL, processing this data in data-flows with Pig and Python to expose new and interesting properties, consuming this data as an analyst in HIVE, and discovering and accessing these resources as analysts and application developers using HCatalog and Templeton.…

Since joining Hortonworks at the beginning of the year, a question I’ve heard over and over again is “What is Apache Hadoop and what is it used for?”

There’s clearly a lot of hype [and confusion] in this emerging Big Data market, and it feels as if each new technology, as well as existing technologies, are pushing the meme of “all your data are belong to us”. It is great to see the wave of innovation occurring across the landscape of SQL, NoSQL, NewSQL, EDW, MPP DBMS, Data Marts, and Apache Hadoop (to name just a few), but enterprises and the market in general can use a healthy dose of clarity on just how to use and interconnect these various technologies in ways that benefit the business.…

I attended the Goldman Sachs Cloud Conference and participated on a panel focused on “Data: The New Competitive Advantage”. The panel covered a wide range of questions, but kicked off covering two basic questions:

“What is Big Data?” and “What are the drivers behind the Big Data market?”

While most definitions of Big Data focus on the new forms of unstructured data flowing through businesses with new levels of “volume, velocity, variety, and complexity”, I tend to answer the question using a simple equation:

Big Data = Transactions + Interactions + Observations

The following graphic illustrates what I mean:

Today we announced an important strategic partnership with Talend, provider of the world’s most popular open source data integration platform. This is another win for both Hortonworks customers and the larger Apache Hadoop community. There were two key aspects of the announcement that I wanted to highlight:

Talend releases Talend Open Studio for Big Data

Based upon Talend’s very popular open source data integration platform, Talend Open Studio for Big Data adds connectors for HDFS, HBase, Pig, Sqoop and Hive.…

In our previous blogs and webinars we have discussed the significant improvements and architectural changes coming to Apache Hadoop .Next (0.23). To recap, the major ones are:

  • Federation for Scaling HDFS – HDFS has undergone a transformation to separate Namespace management from the Block (storage) management to allow for significant scaling of the filesystem. In previous architectures, they were intertwined in the NameNode.
  • NextGen MapReduce (aka YARN) – MapReduce has undergone a complete overhaul in hadoop-0.23, including a fundamental change to split up the major functionalities of the JobTracker, resource management and job scheduling/monitoring into separate daemons.

I recently joined Hortonworks as VP of Corporate Strategy, and I wanted to share my thoughts as to what attracted me to Hortonworks.

For me, it’s important to 1) work with a top-notch team and 2) focus on unique market-changing business opportunities.

Hortonworks has a strong team of technical founders (Eric14, Alan, Arun, Deveraj, Mahadev, Owen, Sanjay, and Suresh) doing impressive work within the Apache Hadoop community. Hortonworks also has an impressive Board of Directors that includes folks like Peter Fenton, Mike Volpi, Jay Rossiter, Rob Bearden, as well as our most recent board member Paul Cormier (Red Hat’s President of Products and Technology).…

I spent some time last week at ApacheCon NA 2011 in Vancouver, BC. It was a good experience and I enjoyed catching up with friends and colleagues involved in the Hadoop project and also meeting some of the executives of the Apache Software Foundation in person. It is clear that the Apache community is thriving and that interest in Hadoop remains very high.

Hortonworks is committed to supporting Apache and we are pleased to have been a gold sponsor of this event. …

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