Hadoop Ecosystem

Industry news, partner stories, buzz and happenings

Extracting insight from your machines, or customer sentiment data or any number of scenarios related to big data demands the integration of Hadoop into your data architecture to efficiently handle those new opportunities alongside the existing workloads. Over the next few months, we’re hosting a new webinar series along with partners to get to grips with what it means to integrate Hadoop into your data architecture.

The first three webinars in the series are listed below and ready for registration.…

By now, your Hadoop skills are becoming honed thanks to the effort you’ve put in, and we hope the Hadoop tutorials in the Hortonworks Sandbox have been helping you along the way. Today, we’re taking the next step in our quest to help you learn more about Hadoop: introducing the Hortonworks Sandbox Partner Tutorials.

The gallery extends the Sandbox, and in there you’ll find tutorials, demos and information on how to use and experiment with tools and applications from our partners – all part of real-world use of Hadoop.…

After the break in the glorious hot weather we want to banish the rain and thunderstorms and bring back a lazy sunny London, so a few of us decided that it was time to hold the first “Big Data Lunch in the Park” summertime meet-up.

Register here at http://bigdatalunchinthepark.eventbrite.com 

Grab your lunch, divert your phone to your mobile and join us on the 8th August at noon at Green Park and hang out with some of your fellow Big Data enthusiasts.  …

We continue to make strong headway towards the general availability of Hadoop 2.0.  A release candidate for Hadoop 2.1.0- Beta is currently under consideration by the Apache community. This critical milestone signifies both the outstanding progress being made by the community and equally important, the stabilization of Hadoop 2.0 APIs.

A defining characteristic of Hadoop 2.0 is its next generation resource management framework called YARN.  YARN enables Hadoop to grow beyond its MapReduce origins to embrace multiple workloads spanning interactive queries, batch processing, streaming & more.…

Hadoop jobs have grown 200,000%. No, that’s not a typo. According to Indeed.com, Hadoop is one of the top 10 job trends right now.

When you look at LinkedIn, the growth in profiles that have SQL in them is on the downswing — about -4%, but the growth of profiles that have Hadoop in them is up 37%. Hadoop is becoming a clear resume differentiator. Updating and maintaining technical skills has always been part of the job and is part of ensuring a long and healthy career.…

Whether only beginning or well underway with Big Data initiatives, organizations need data protection to mitigate risk of breach, assure global regulatory compliance and deliver the performance and scale to adapt to the fast-changing ecosystem of Apache Hadoop tools and technology.

Business insights from big data analytics promise major benefits to enterprises – but launch of these initiatives also presents potential risks. New architectures, including Hadoop, can aggregate different types of data in structured, semi-structured and unstructured forms, perform parallel computations on large datasets, and continuously feed the data lake that enable data scientists to see patterns and trends.…

Today was our last day at the Worldwide Partner Conference (WPC) where 15,000+ people joined up for business sessions, networking, exhibits, heat, humidity, Lenny Kravitz and fantastic Houston Texas hospitality.  As a first time sponsor we thought we would share our views from the conference.

Steve Ballmer opened the conference talking about the Microsoft transformation to a devices-and-services company and the four trends underpinning that transformation – cloud, mobility, big data and enterprise social.…

BAM! What a week for Hadoop as we all spent time with around 2500 of our closest friends to spin some YARNs (I saw it over here first). Like me, you’re probably still digesting everything you heard but in the meantime here are some highlights from us.

Modern Data Architecture. Integrating Hadoop into existing data center investments is a hot topic for any enterprise thinking about Big Data. In support of that need there were some announcements with key data center partners:

Today our partner Teradata announced a new offering called the Teradata Portfolio for Hadoop, which is built upon the 100% open source Hortonworks Data Platform (HDP). The new products and expanded partnership with Hortonworks offers customers a flexible choice of deployment offerings for Apache Hadoop from one of the most trusted vendors in the data management market worldwide.

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Teradata have been helping their customers to get more value from their data for more than 30 years so this is a natural next step as organizations are looking to evolve their data architectures to capture net new data sources and create new applications.…

Today Concurrent announced that we have certified the Hortonworks Data Platform  against the Cascading application framework. As Hadoop adoption continues to grow more organizations are looking to take advantage of new data types and build new applications for the enterprise. By combining our enterprise-grade data platform and unparalleled growing ecosystem with the power, maturity and broad platform support of Concurrent’s Cascading application framework, we have now closed the modeling, development and production loop for all data-oriented applications.…

There are plenty of server and storage options for the wave of data that is being collected and analyzed.  New platforms such as Apache™ Hadoop® provide the opportunity to make all the new data types being collected useful.  However, like any other platform, performance varies depending on the underlying servers being used.  There is great promise in what Hadoop can deliver in terms of business value, and the ecosystem is continuously growing with companies making strides to make Hadoop easier to deploy and manage.…

This week we’re at the Red Hat Summit along with many others enjoying the great discussions within the community. As part of the summit, we are delighted to announce extended collaboration with Red Hat to continue to advance open source big data community projects.

Some details on the the three areas of collaboration forming the announcement:

  • Enhancing Apache Ambari to support the management of Hadoop-compatible file systems, such as GlusterFS. With this integration, users will be able to provision, deploy, monitor and manage alternative file systems with Ambari, further cementing Ambari’s position as the standard for Hadoop management.
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