The Hortonworks Blog

Our guest blogger today comes from our partner Talend, who has been working with us for many years to help organizations transition from data chaos to a modern data architecture. In this blog, Talend’s Ashley Stirrup, CMO, talks about a helping organizations to support a dynamic data supply chain.

In order to remain viable in increasingly competitive markets, companies must create ever-more detailed models of the business that incorporate all data – regardless of source or volume.…

Are you still learning about the Data Lake? Wondering how it can help your organization manage and leverage massive amounts of data? On September 8th, VHA, the largest member-owned health care company delivering supply chain management services and clinical services to its members, will share their experience and explain how they simplified data management and enabled faster data discovery with Hadoop and data virtualization.

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At VHA, product, supplier and member information, among other data, was siloed across multiple sources.…

As more organisations start to run big data projects, organisations are uncovering unique big data challenges specific to Europe. Join this weekly European Big Data Series where we will be uncovering the latest trends, best practices and challenges of making big data projects successful in Europe.

Today, Ernst & Young LLP announced today a strategic business relationship with Hortonworks, Inc.® to provide new data management offerings that leverage and extend Hortonworks Data Platform (HDPTM) together with EY’s data and information management services. EY has been building expertise and solutions around Hadoop to help data driven organizations leverage newly available data (structured and unstructured) to gain better insights and increase operational efficiency, improve profitability and reduce costs, ultimately with a goal to obtaining a competitive edge in the marketplace.…

The world is now estimated to be churning out quintillions of bytes of data every day, which goes to show why the industry is struggling to keep up with the ever increasing demand for data scientists to pinpoint those insights that can increase company revenues, or better manage their resources.

The McKinsey Global Institute predicts the industry will need at least 190,000 more workers with analytics expertise and 1.5 million more data-savvy managers by 2018 in the US alone.…

If security and compliance were already keeping you up at night, wait until you hear these statistics. Based on Vormetric 2015 Insider Threat Report, 44% of organizations in the United States have suffered a breach or failed a compliance audit in 2015 (48% in ASEAN and 40% in the U.K.).

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By leveraging Big Data, you accept that your data comes from a variety of sources, including CRM systems, files, spreadsheets, video, social media, payment data and health records and more.…

In this guest blog, IDC Program Director for Retail Insights Greg Girard shares his insights how retailers employ big data and analytics to drive decision and action across myriad industries. 

Big data and analytics (BDA) have become top agenda items for a growing number of retail executives, and rightly so in the broader social and economic context of data-enabled decision and action. While “data-driven,” as a term, has been around for quite some time, the ability to act on insight has taken on new urgency.…

All segments of the oil and gas industry are adopting Hadoop, from exploration through to drilling, production, transportation, refining, and retail.

The Hortonworks Oil and Gas team will be demonstrating some of the Hadoop-based advanced analytics applications for the upstream oil and gas industry at PNEC Houston (the International Conference on Petroleum Data Integration, Information, and Data Management) running from May 19-21.

A Transformation in O&G

On a daily basis, the geological and geophysical discipline in upstream oil and gas must deal with a significant number of disparate datasets.…

Hortonworks subscribers across all major industries use Hortonworks Data Platform (HDP) to power advanced analytics applications for data discovery and predictive analytics. The insurance industry uses Hadoop to drive this type of innovation for usage-based insurance (UBI).

Cindy Maike is the GM for Insurance Solutions at Hortonworks, and later this month she will present on big data for UBI at Insurance Telematics Canada 2015. The conference begins on April 23rd in Toronto, and Cindy will present with Tammy Chen from Towers Watson and Gerry Lee from QA Consultants on “Data Makes the (UBI) World Go Round.”

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Here’s a preview of what Cindy and the panel will discuss.…

This guest post is from Vamsi Chemitiganti, chief architect of Red Hat’s Financial Services Vertical. Vamsi is responsible for driving Red Hat’s technology vision from a client standpoint. His areas of focus range from platform, middleware, storage to big data and cloud (IaaS and PaaS). The clients Vamsi engages with on a daily basis span marquee names on Wall Street, including businesses in capital markets, core banking, wealth management and IT operations.…

Apache Hive is the de facto standard for SQL in Hadoop with more enterprises relying on this open source project than any other alternative. Stinger.next, a community based effort, is delivering true enterprise SQL at Hadoop scale and speed.

With Hive’s prominence in the enterprise, security within Hive has come under greater focus from enterprise users. They have come to expect fine grain access control and auditing within Hive. Apache Ranger provides centralized security administration for Hadoop, and it enables fine grain access control and deep auditing for Apache components such as Hive, HBase, HDFS, Storm and Knox.…

“Start with the business problem!” That’s Sanjay’s advice when it comes to building a successful Big Data solution. For those of you who have missed the first part of this video series, Sanjay Krishnamurthi, SVP and Chief Technology Officer at Informatica, and Shaun Connolly, Vice President Corporate Strategy at Hortonworks, address a number of hot Big Data topics throughout a series of nine videos.

Today, they talk about how Big Data projects need to be driven by the business and how IT solutions and frameworks such as Hadoop have to be integrated with the rest of the data systems.…

HDP 2.2 brings substantial innovations in Apache Hadoop YARN, enabling users of Apache Hadoop to efficiently store their data in a single repository and interact with it simultaneously using a wide variety of engines. This functionality makes YARN particularly attractive for the integration of many distributed Long-Running services.

In this release, we also introduced a new framework Apache™ Slider for easy on boarding of Long-Running service on top of YARN.…

Today we’re excited to be jointly announcing with EMC that the Isilon OneFS file system has been certified to work with the Hortonworks Data Platform (HDP). Now Isilon customers who are looking for a robust, enterprise-ready, stable Apache Hadoop platform can use HDP on their Isilon implementations.

Joint Engineering Delivering Choice

We’re excited to see the results of the months of engineering and testing efforts that now provide customers even greater deployment choice for their Hadoop projects as they are implementing a modern data architecture towards a data lake.…

OspreyData is a Hortonworks® technology partner whose solution is certified both for Hortonworks Data Platform and YARN. The company delivers agile big data analytics solutions for the oil and gas industry. In this blog, Al Brown, CTO at OspreyData, shares his thoughts on how the industry is addressing a big problem: unplanned interruptions to production.

A Mandate for Operational Efficiency and Margin Growth

The oil and gas industry is constantly challenged with a mandate to operate more efficiently—both in the oilfield and within the data center.…