The Hortonworks Blog

Posts categorized by : Business Value of Hadoop

This is a guest post from our partner, Revelytix who recently created a step-by-step tutorial on using Loom with the Hortonworks Sandbox. 

Enterprises are excited about the Hortonworks Data Platform (HDP) for many reasons, such as low cost, scalability, and flexibility. The latter in particular holds out new possibilities for data science. The Hadoop Distributed File System (HDFS) accepts files of any type and format, unlike traditional data warehouses which require a schema up front.…

With businesses demanding faster and easier access to information in order to make reliable and smart decisions, in-memory processing is an emerging technology that is gaining the attention of businesses of all sizes and across industries. Kognitio, a Hortonworks Technology Partner, uses an in-memory technology solution to provide scalable compute power for rapid execution of complex analytical queries.

Join us for the webinar on December 10 at 10am PT / 1pm ET “The Modern Data Architecture: In-Memory and Hadoop – The New BI”

What is In-Memory Processing?…

Recently, SAP and Hortonworks announced the next step in the relationship with SAP, where SAP resells and provided enterprise support for the Hortonworks Data Platform. Since then, we’ve been working together to showcase how SAP HANA + Hortonworks Data Platform provide “Instant Insight and Infinite Scale”. The combination of HANA and the Hortonworks Data Platform is a perfect match. SAP HANA uniformly amplifies the value of Big Data across this data fabric including large data sets that are stored in Hadoop.…

Hortonworks customers can now enhance their Hadoop applications with Elasticsearch real-time data exploration, analytics, logging and search features, all designed to help businesses ask better questions, get clearer answers and better analyze their business metrics in real-time.

Hortonworks Data Platform and Elasticsearch make for a powerful combination of technologies that are extremely useful to anyone handling large volumes of data on a day-to-day basis. With the ability of YARN to support multiple workloads, customers with current investments in flexible batch processing can also add real-time search applications from Elasticsearch.…

A consequence of living in a globalized, connected world  is the unfortunate presence of online fraud. Fraud applies to all industries and affects businesses of all sizes. Given that we’re coming up on the holidays, and specifically with North America’s love of Black Friday and Cyber Monday, this week we partnered with Datameer on a very topical discussion  about best practices on how to fight fraud using Hortonworks Data Platform to integrate Hadoop and Datameer.…

We had a lot of fun in NYC and hope you did too. Thanks to the hundreds of you who dropped by the booth, attended dinners, parties, meetups and sessions.

As we have known for some time, Hortonworks customers are already building a modern data architecture with Hadoop as the technology of choice for handling the data they have streaming in from all directions. They care that it matches their needs, integrates with their existing infrastructure and solves real problems with flexibility.…

We’re delighted to announce that our Hadoop 2.0 Courseware is available now!

According to a 2013 Education Services Bench Mark Study conducted by The Technology Services Industry Association, “the lag time between product and Instructor Lead Content release is 68 business days, or more than three months” but not at Hortonworks!  All of our Developer Courses and Certifications are now based on Apache Hadoop 2.0 and available at the same time as the Hortonworks Data Platform 2.0.…

One of the great things about working in open source development is working with other experts round the work on big projects – and then having the results of that work in the hands of users within a short period of time.

This is why I’m really excited about the Rackspace announcement of their HDP-based Big Data offerings, both “on-prem” and in cloud. Not just because its partners of us offering a service based on Hadoop, but because it shows how Hadoop integration with OpenStack has reached a point where it’s ready for production use.…

The Apache Knox community announced the release of the Apache Knox Gateway (Incubator) 0.3.0. We, at Hortonworks, are excited about this announcement.

The Apache Knox Gateway is a REST API Gateway for Hadoop with a focus on enterprise security integration.  It provides a simple and extensible model for securing access to Hadoop core and ecosystem REST APIs.

Apache Knox provides pluggable authentication to LDAP and trusted identity providers as well as service level authorization and more.  …

With the attention of the Hadoop community on Strata/Hadoop World in New York this week, it’s seems an appropriate time to give everyone an early update on continued community development of Apache Hive. This progress well and truly cements Hive as the standard open-source SQL solution for the Apache Hadoop ecosystem for not just extremely large-scale, batch queries but also for low-latency, human-interactive queries.

You can catch me at our session ‘Apache Hive & Stinger: Petabyte Scale SQL, IN Hadoop’ along with Owen and Alan where we’ll be happy to dive into more of the details.…

Today we announced the expansion of our strategic relationship with HP enabling HP to resell Hortonworks Data Platform (HDP). As data volumes grow and new data sources emerge it is important for enterprises have access to production ready enterprise Apache Hadoop to meet their big data needs.

With HDP, HP customers can now seamlessly incorporate Hadoop into their modern data architectures to power a variety of new applications and to support existing ones with additional data sources.…

Today our partner Rackspace announced their Big Data solution for dedicated and cloud environments, powered by Hortonworks Data Platform. This collaboration between Hortonworks and Rackspace provides customers a flexible choice of deployment offerings of Apache Hadoop from one of the most trusted vendors in the cloud computing market.

Enterprise adoption of Apache Hadoop

This expanded collaboration is a strong indicator of the ecosystem rallying around Hortonworks Data Platform and our goal at Hortonworks of making Apache Hadoop a core component of the modern data architecture, whether on premise, in a VM, as an appliance, or in the cloud.…

Now that Hortonworks Data Platform 2.0 is GA, you may be looking to migrate your Hadoop stack from another version to take advantage of Hadoop 2’s YARN-based architecture. Fortunately, our Professional Services & Support teams are getting a lot of practice at migration from other distributions as more and more customers turn to 100% enterprise-hardened Apache Hadoop for their big data platform.

While any specific migration may have a few gotchas from a vendor lock-in, or business integration perspective, this high-level process overview is battle tested on large-scale production clusters and we hope it helps you plan for your own migration.…

Behind all the Big Data hype, there is one common thread: Apache Hadoop and its associated components ARE the technology platform of choice. And here at Hortonworks, that’s what we do: Hadoop.

That is also why we are so excited about the incredible growth in customers who have chosen to work with us to ensure their implementation of Hadoop and realize their vision of a modern data architecture.

Here are the key reasons we believe that we can best help your enterprise with Apache Hadoop.…

Today our strategic partner Microsoft announced the General Availability of HDInsight Service: the Azure based enterprise Hadoop cloud service is now ready for production workloads! We are excited to see this service move into general availability as a key milestone in a longstanding engineering partnership between our two organizations.

Application Portability: Deploy Hadoop On-Premise and/or Scale with the Cloud

With HDP for Windows and HDInsight Service there is unprecedented choice for Windows enterprises for their Hadoop deployments.…

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