For Hortonworks, working with and enabling the Hadoop ecosystem is one of our core tenants, and we’re proud of the 1,100+ partners that have joined us in the journey to ensure that Open Enterprise Hadoop interoperates with your existing data center technologies. Today, we’re delighted that we have been named to The Channel Company’s exclusive 2015 CRN® Emerging Vendors List. The annual list features technology vendors that have introduced innovative new products, creating opportunities for channel partners in North America to create solutions for customers.…
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We are very pleased to announce that Hortonworks Data Platform (HDP) Version 2.3 is now generally available for download. HDP 2.3 brings numerous enhancements across all elements of the platform spanning data access to security to governance. This version delivers a compelling new user experience, making it easier than ever before to “do Hadoop” and deliver transformational business outcomes with Open Enterprise Hadoop.
As we announced at Hadoop Summit in San Jose, there are a number of significant innovations as part of this release including:
- Breakthrough User Experience for Operators, Developers, and Data Stewards
- Enterprise Readiness: Enhancements to Security and Governance
- Proactive Support with Hortonworks SmartSense™
HDP 2.3 represents the very latest innovation from across the Hadoop ecosystem.…
In version 1.2.0, Apache Spark introduced a Data Source API (SPARK-3247) to enable deep platform integration with a larger number of data sources and sinks. We are proud to announce that support for the Apache Optimized Row Columnar (ORC) file format is included in Spark 1.4 as a new data source. This support was added through a collaboration between Hortonworks and Databricks, tracked by SPARK-2883.
The Apache ORC file format and associated libraries recently became a top level project at the Apache Software Foundation.…
Apache Spark has garnered a lot of developer attention and is often the top of agenda in my customer interactions. Since we announced support for Spark in HDP, we have seen broad customer adoption of our Spark offering. Our customers love Spark for the simplicity of its API, speed of development and the runtime performance. Spark is also democratizing Machine Learning and making it easier and approachable to more developers.
Today Microsoft announced support for Spark in HDInsight – this is a big step towards driving customer adoption for Spark workloads on Hadoop clusters in Azure.…
Developer success starts with open and reusable code, and a community that allows for both consumption of code and contribution of updates to the code base. This success engenders a thriving and evolving community.
To that end, today we are announcing the Hortonworks Gallery for developers. Located on GitHub, the Gallery brings together the Hortonworks’ Apache Hadoop code, Apache Ambari Views and extensions, as well as related resources into a single view for developers to use within the familiar context of Git and open source software.…
Early this year, ApacheTM FalconTM became a Top Level Project (TLP) in the Apache Software Foundation.
The project continues to mature as a framework for simplifying and orchestrating data lifecycle management in Hadoop by offering out-of-the-box data management policies. The Apache Falcon 0.6.1 release builds on this foundation by providing simplified mirroring functionality and a new user interface (UI).
The community worked very diligently to offer more than 150 product enhancements, and over 30 new features and improvements.…
Hortonworks is always pleased to see new contributions come into the open-source community. We worked with our customer, Hotels.com, to help them develop libraries and utilities around Apache Hive, the Apache ORC format and Cascading. It’s great to see the results released for the community. In this guest blog, Adrian Woodhead, Big Data Engineering Team Lead at Hotels.com, discusses the CORC project.
The Apache Lucene/Solr community is continuing its rapid release cycles to meet community and customer requirements. In this guest blog, we have invited Sarath Jarugula from Lucidworks to share with us the many improvements in the Apache Solr 5.2 release.
The Apache Solr community has announced its Solr 5.2 release. Solr 5.2 is a follow-up release to Solr 5.0, a significant major release in February 2015. The community has delivered 25 new features, 5 optimizations, and 38 bug fixes in this release.…
As YARN drives Hadoop’s emergence as a business-critical data platform, the enterprise requires more stringent data security capabilities. The Apache Ranger delivers a comprehensive approach to security for a Hadoop cluster. It provides a platform for centralized security policy administration across the core enterprise security requirements of authorization, audit and data protection.
On June 10th, the community announced the release of Apache Ranger 0.5.0. With this release, the community took major steps to extend security coverage for Hadoop platform and deepen its existing security capabilities.…
Earlier this month, Hortonworks had the pleasure of joining Yahoo! in hosting the 8th Annual Hadoop Summit, the leading conference for the Apache Hadoop community. Summit is always an important and exciting experience, bringing together thought leaders, technologists, and data specialists from throughout the community to explore and advance the art and science of Big Data.
This year’s event came at a pivotal time for Hadoop and Hortonworks, with news about Open Enterprise Hadoop and the launch of the newest version of Hortonworks Data Platform (HDP 2.3™) poised to transform the way large organizations in every industry process data.…
In his blog, Tim Hall wrote, “Enterprises are embracing Apache Hadoop to enable their modern data architectures and power new analytic applications. The freedom to choose the on-premises or cloud environments for Hadoop that best meets the business needs is a critical requirement.”
One of the choices in deploying Hadoop in the cloud environment is with Microsoft Azure using Cloudbreak. Other choices include Google Cloud Platform, Openstack, and AWS.
But in this blog, I’ll show how you can deploy Hadoop in Azure with few clicks by running HDP multimode cluster in Azure’s Linux VM using Cloudbreak.…
Mayank Bansal, of EBay, is a guest contributing author of this collaborative blog.
This is the 4th post in a series that explores the theme of enabling diverse workloads in YARN. See the introductory post to understand the context around all the new features for diverse workloads as part of Apache Hadoop YARN in HDP.Background
Multihoming is the practice of connecting a host to more than a single network. This is frequently used to provide network-level fault tolerance – if hosts are able to communicate on more than one network, the failure of one network will not render the hosts inaccessible. There are other use cases for multi-homing as well, including traffic segregation to isolate congestion and support for different network media optimized for different use cases.…
The Apache community released Apache Pig 0.15.0 last week. Although there are many new features in Apache Pig 0.15.0, we would like to highlight two major improvements:
- Pig on Tez enhancements
- Using Hive UDFs inside Pig
Below are some details about these important features. For the complete list of features, improvements, and bug fixes, please see the release notes.Notable Changes 1. Pig on Tez enhancements Scalability of Pig on Tez
As businesses continue to create data at an ever-increasing pace, data architectures are strained under the loads placed upon them. Data volumes continue to grow considerably, low-value workloads like ETL consume more and more processing resources, and new types of data can’t easily be captured and put to use. Organizations struggle with escalating costs, increasing complexity, and the challenge of expansion.
This coming Wednesday, Big Data experts will look at how Hadoop is enabling a broad range of organizations to address these challenges.…