From the Dev Team

Follow the latest developments from our technical team

Although the Hadoop Summit San Jose 2014 has come and gone, the invaluable content—keynotes, sessions, and tracks—is available here. We ’ve selected a few sessions for Hadoop developers, practitioners, and architects, curating them under Apache Hadoop YARN, the architectural center and the data operating system.

In most of the keynotes and tracks three themes resonated:

  • Enterprises are transitioning from traditional Hadoop to modern Hadoop 2.
  • YARN is an enabler, the central orchestrator that facilitates multiple workloads, runs multiple data engines, and supports multiple access patterns—batch, interactive, streaming, and real-time—in Apache Hadoop 2.…
  • Last week, Apache Tez graduated to become a top level project within the Apache Software Foundation (ASF). This represents a major step forward for the project and is representative of its momentum that has been built by a broad community of developers from not only Hortonworks but Cloudera, Facebook, LinkedIn, Microsoft, NASA JPL, Twitter, and Yahoo as well.

    What is Apache Tez and why is it useful?

    Apache™ Tez is an extensible framework for building YARN based, high performance batch and interactive data processing applications in Hadoop that need to handle TB to PB scale datasets.…

    The Apache Pig community released Pig 0.13. earlier this month. Pig uses a simple scripting language to perform complex transformations on data stored in Apache Hadoop. The Pig community has been working diligently to prepare Pig to take advantage of the DAG processing capabilities in Apache Tez. We also improved usability and performance.

    This blog post summarizes the progress we’ve made.

    Support for Backends Other Than MapReduce

    We made the Pig 0.13 architecture more general to support multiple backends beyond just MapReduce, while maintaining backward compatibility.…

    As part of our YARN Ready program, we are hosting a series of technical webinars highlighting the technologies and resources available to developers for creating YARN applications. In our first webinar, “Introduction to YARN Ready,” we presented an overview of the YARN Ready program.

    To extend your technical knowledge, please join us for our first in-depth YARN Ready technology webinar, “Integrating Applications Natively to YARN” on Thursday July 24 at 9am Pacific Time.…

    Incremental Updates

    Hadoop and Hive are quickly evolving to outgrow previous limitations for integration and data access.
    On the near-term development roadmap, we expect to see Hive supporting full CRUD operations (Insert, Select, Update, Delete). As we wait for these advancements, there is still a need to work with the current options—OVERWRITE or APPEND— for Hive table integration.

    The OVERWRITE option requires moving the complete record set from source to Hadoop.…

    Hadoop is a business-critical data platform at many of the world’s largest enterprises. These corporations require a layered security model focusing on four aspects of security: authentication, authorization, auditing, and data protection. Hortonworks continues to innovate in each of these areas, along with other members of the Apache open source community. In this blog, we will look at the authentication layer and how we can enforce strong authentication in HDP via Kerberos.…

    Hadoop Summit Content Curation

    Although the Hadoop Summit San Jose 2014 has come and gone, the invaluable content—keynotes, sessions, and tracks—is available here. I’ve selected a few sessions below for Hadoop system administrators and dev-ops, curating them under a general Hadoop operations theme.

    Dev-ops engineers and system administrators know best that ease of operations and deployments can make or break a large Hadoop production cluster, which is why they care about all of the following:

    • how rapidly they can create or replicate a cluster;
    • how efficiently they can manage or monitor at scale;
    • how easily and programmatically they can extend or customize their operational scripts; and
    • how accurately they can foresee, forestall, or forecast resource starvation or capacity stipulation.

    The Apache Storm community recently announced the release of Apache Storm 0.9.2, which includes improvements to Storm’s user interface and an overhaul of its netty-based transport.

    We thank all who have contributed to Storm – whether through direct code contributions, documentation, bug reports, or helping other users on the mailing lists. Together, we resolved 112 JIRA issues.

    Here are summaries of this version’s important fixes and improvements.

    New Feature Highlights
    Netty Transport Overhaul

    Storm’s Netty-based transport has been overhauled to significantly improve performance through better utilization of thread, CPU, and network resources, particularly in cases where message sizes are small.…

    Last Thursday we hosted the last of our seven Discover HDP 2.1 webinars, Using Apache Ambari to Manage Hadoop Clusters. Over 140 people attended and joined in the conversation.

    The speakers gave an overview of Apache Ambari, discussed new features, and showed an end-to-end demo.

    Thanks to our presenters Justin Sears (Hortonworks’ Product Marketing Manager), Jeff Sposetti (Hortonworks’ Senior Director of Product Management), and Mahadev Konar (Hortonworks’ Co-founder, Committer, and PMC Member for Apache Hadoop, Apache Ambari, and Apache Zookeeper) who presented the webinar.…

    This week we hosted a webinar entitled HDP Advanced Security: Comprehensive Security for Enterprise Hadoop. Over 135 people attended, prompting an informative discourse and a series of questions.

    The speakers outlined the HDP Advanced Security features and benefits in Hortonworks Data Platform and gave a demo. Thanks to our presenters Justin Sears (Hortonworks’ Product Marketing Manager), Balaji Ganesan (Hortonworks’ Senior Director, Enterprise Security Strategy), and Don Bosco Durai (Hortonworks’ Enterprise Security Architect).…

    Today, we announce certification of Apache Spark as YARN Ready. This certification ensures memory and CPU intensive Spark-based applications can co-exist within a single Hadoop cluster with all the other workloads you have deployed. Together, they allow you to use a single cluster with a single set of data for multiple purposes rather than silo your Spark workloads into a separate cluster.

    Two months ago, we announced the acquisition of XA Secure. and at that time we stated that the software would be generally available by the end of June. We are happy to announce that we have delivered as promised and the solution is available for download for everyone today. Also, if you are an HDP Enterprise Plus Subscription customer, additional support for these new functions is now provided.

    HDP Advanced Security expands on the solid security features already found in HDP to provide central administration and coordinated enforcement of enterprise security policy for a Hadoop cluster.…

    We recently hosted the sixth of our seven Discover HDP 2.1 webinars, entitled Apache Storm for Stream Data Processing in Hadoop. Over 200 people attended the webinar and joined in the conversation.

    Thanks to our presenters Justin Sears (Hortonworks’ Product Marketing Manager), Himanshu Bari (Hortonworks’ Senior Product Manager for Storm), and Taylor Goetz (Hortonworks’ Software Engineer and Apache Storm Committer) who presented the webinar. The speakers covered:

    • Why use Apache Storm?

    It has been an exciting  few weeks for the XA Secure team. We formally joined Hortonworks on 5/15 and have received a warm  welcome from our new peers. Even more exciting are the numerous discussions we have had with current customers and prospects on how we can bring together a comprehensive and holistic security capabilities to HDP.  We now begin the journey to incubate our XA Secure functionality as a completely open source project governed by the Apache Software Foundation.…

    We recently hosted the fifth of our seven Discover HDP 2.1 webinars, entitled Apache Solr for Hadoop Search. Over 200 people attended the webinar, prompting an informative discourse.

    The speakers outlined the Apache Solr overview and features, followed by a practical demo of how to process, index, search, and visualize server log data.

    Thanks to our presenters Justin Sears (Hortonworks’ Product Marketing Manager), Rohit Bakhshi (Hortonworks’ senior product manager), and Paul Codding (Hortonworks’ Solution Engineer) who presented the webinar.…

    Go to page:12345...10...Last »