The Hortonworks Blog

Posts categorized by : Hadoop in the Enterprise

If you are an enterprise, chances are you use SAP.  And you are also more than likely using – or planning to use – Hadoop in your data architecture.

Today, we are delighted to announce the next step in our strategic relationship with SAP as they announce a reseller agreement with Hortonworks.  Under this agreement, SAP will resell Hortonworks Data Platform and provide enterprise support for their global customer base.  This will enable SAP customers to implement a data architecture that includes SAP HANA and the Hortonworks Data Platform and in so doing leverage existing skills to take advantage of the massive scalability and performance offered by Apache Hadoop.…

Building a modern data architecture with Hadoop delivering high-scale and low-cost data processing means integrating Hadoop effectively inside the data center. For this post, we asked Yves de Montcheuil, VP of Marketing at Talend about his customers’ experiences with Hadoop integration. Here’s what he had to say:

Most organizations are still in the early stages of big data adoption, and few have thought beyond the technology angle of how big data will profoundly impact their processes and their information architecture.…

Think Big Analytics, a Hortonworks systems integration partner has been helping customers navigate the complex world of Hadoop successfully for the past three years.  Over the years they have seen it all and have developed one of the most mature Hadoop implementation methodologies known.  Recently, we asked Ron Bodkin, Founder and CEO of Think Big Analytics to share some insight.…

What are the “Must-Dos” Before Starting a Big Data Project?

The Stinger Initiative is Hortonworks’ community-facing roadmap laying out the investments Hortonworks is making to improve Hive performance 100x and evolve Hive to SQL compliance to simplify migrating SQL workloads to Hive.

We launched the Stinger Initiative along with Apache Tez to evolve Hadoop beyond its MapReduce roots into a data processing platform that satisfies the need for both interactive query AND petabyte scale processing. We believe it’s more feasible to evolve Hadoop to cover interactive needs rather than move traditional architectures into the era of big data.…

This guest post from John Haddad, Director of Product Marketing at Informatica Corporation. He has over 25 years’ experience designing, building, integrating and marketing enterprise applications. His current focus is helping organizations get the most business value from Big Data by delivering timely, trusted, and relevant data across the extended enterprise.

Why is it so important for companies today to adopt a modern data architecture and why is next generation data integration on Apache Hadoop such a critical component?…

If you’re heading back to work today after a long hot summer then here’s some notes on last week here at Hortonworks.

Building a modern data architecture. We kicked off the week with some discussion on what it means to implement Hadoop alongside existing data architecture components. Jim covered 3 essential requirements: integration with existing systems, reuse of existing skills, enterprise requirements such as reliability and availability. We also held the first webinar in our series on implementing Hadoop in the enterprise: this one was with Teradata.…

In the last 60 seconds there were 1,300 new mobile users and there were 100,000 new tweets. As you contemplate what happens in an internet minute Amazon brought in $83,000 worth of sales. What would be the impact of you being able to identify:

  • What is the most efficient path for a site visitor to research a product, and then buy it?
  • What products do visitors tend to buy together, and what are they most likely to buy in the future?

Historical data is now an essential tool for businesses as they struggle to meet increasingly stringent regulatory requirements, manage risk and perform predictive analytics that help improve business decisions. And while recent data may be available from an enterprise data warehouse, the traditional practice of archiving old data offsite on tape makes business analytics challenging, if not impossible, because the historical information needed is simply unavailable.

Fortunately, the modern approach to data storage business analytics utilizes technologies like virtualization and big data Hadoop clusters to enable partitioned access to historical data.…

The shift to a data-oriented business is happening. The inherent value in established and emerging big datasets is becoming clear. Enterprises are building big data strategies to take advantage of these new opportunities and Hadoop is the platform to realize those strategies.

Hadoop is enabling a modern data architecture where it plays a central role: built to tackle big data sets with efficiency while integrating with existing data systems. As champions of Hadoop, our aim is to ensure the success of every Hadoop implementation and improve our own understanding of how and why enterprises tackle big data initiatives. …

Our Systems Integrator partner, Knowledgent, is hosting a Big Data Immersion Class geared towards technologists who are tasked with launching Big Data programs that must have tangible real-time benefits to their organizations.

“When and how do I use these new big data technologies?” “How do I operationalize them in my environment?” These are some of the fundamental questions that Knowledgent prospects and customers are asking and why the 3 day immersion class was developed.…

This week, we announced the launch of Hortonworks Data Platform (HDP) 1.3 for Windows which brings our native Windows Hadoop distribution to parity with our Linux distribution. HDP for Windows is also the Hadoop foundation for Microsoft’s HDInsight Service which delivers Hadoop and BI capabilities in in the Azure cloud.

Impetus, a Hortonworks System Integrator partner, is an early adopter of the Hortonworks Data Platform (HDP) and has leveraged the combined power of Hadoop & Microsoft Azure platform for a number of successful big data implementations using Microsoft’s HDInsight Service.…

This guest post from Sofia Parfenovich, Data Scientist at Altoros Systems, a big data specialist and a Hortonworks System Integrator partner. Sofia explains she optimized a customer’s trading solution by using Hadoop (Hortonworks Data Platform) and by clustering stock data.

Automated trading solutions are widely used by investors, banks, funds, and other stock market players. These systems are based on complex mathematical algorithms and can take into account hundreds of factors.…

In this blog we’ll set up NFS for HDFS access with the Hortonworks Sandbox 1.3. This allows the reading and writing of files to Hadoop using familiar methods to desktop users. Sandbox is a great way to understand this particular type of access.

If you don’t have it already, then download the sandbox here. Got the download? Then let’s get started.

Start the Sandbox. Get to this screen.

We will now enable Ambari so that we can edit the configuration to enable NFS.…

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.…

Implementing and integrating Hadoop  to complement existing EDW, RDBMS and Discovery Systems is all part of realizing a Modern Data Architecture for a business which unlocks the opportunities that big data provides for new insight and competitive edge.

That is why we were excited to take part in Cisco and NetApp’s joint announcement of their FlexPod Portfolio because it brings new engineered offerings to the market for enterprises looking to take advantage of Hadoop.…

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