Hadoop Insights

News about Hadoop in the wild; how Hadoop is being used; how Hadoop can be used.

The connected and collected vehicle data, emitted through embedded smart sensors, are transforming the automotive industry. Is this hype or reality?

To discuss the reality of this transformation, to tackle management of streams of data from connected cars, and to share new data architectures that process, manage and analyze volumes of data, automakers and key industry innovators will gather in Berlin for Telematics Berlin 2015 on May 11-12th.

Data Deluge

Because legacy architectures have limited capacity to store streams of unstructured and varied data at petabyte scale, lack the ability to analyze data in real-time and offer value and insights, automakers are looking to next generation data platforms.…

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 better leverage unstructured information to strengthen subrogation opportunities, stop fraud and minimize claims leakage. This requires new capabilities for data discovery.

Cindy Maike is the GM for Insurance Solutions at Hortonworks, and next week she will be a panelist at the inaugural Analytics for Insurance Canada event on the usage of analytics in claims at the Analytics for Insurance Canada 2015.…

In today’s healthcare industry, shifting reimbursement models and increasing costs for supplies and labor come at the same time as mandates to improve care delivery while lowering costs. Improved healthcare outcomes should usually come at a higher cost, but more and better data can drive insights and efficiencies that help with both of those opposing pressures—helping care providers create new ways to both practice medicine and do business.

In her blog post entitled “Top 5 Health Care Trends to Watch in 2015,” Susan DeVore described this year’s top healthcare challenges and how the industry is addressing them.…

Having just returned from our Hadoop Summit Europe event, I was struck by the number of sessions that involved large scale businesses outlining the impact of their advanced analytic applications (built on Hadoop) and how those analytics are empowering better business decisions.

The story of business value is significant. Session after session, representatives from various industries talked about how their modern data architectures with Hadoop led to increased agility, new innovative customer experiences, and lower cost structures.…

Opportunity abounds

According to the enterprise data usage experts at Appfluent, the typical Enterprise Data Warehouse (EDW) dedicates 70% of its storage volume to unused data and 55% of its processing capacity to low value ETL workloads. This represents a waste of what could otherwise be a high performance, finely tuned analytics and reporting environment that supports enterprise priorities. Even worse, EDW environments often cannot deal with the varied structures of new data sources that offer so much untapped value.…

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.”

Register for the Conference & Exhibition

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

As we are finalizing our preparations for what will surely be another successful Hadoop Summit Europe event, one thing has become unequivocally clear: the Hadoop challenge is no longer about acceptance. It’s no longer about adoption. It’s about Hadoop being pervasive. Hadoop is everywhere.

As Mike Gualtieri of Forrester wrote in a recent report:

Hadoop is a must-have for large enterprises

I couldn’t agree more with Mike’s assessment, and I encourage you to read the report: “Predictions 2015: Hadoop Will Become a Cornerstone of Your Business Technology Agenda”.…

The factory of the future will merge the virtual world with the real world.

Domhall Carroll, industry sector head of Siemens Ltd, made this point as he addressed the Engineers Ireland annual conference in May 2014. Carroll described prior industrial revolutions, leading up to today’s transformations that are creating a fourth industrial revolution, based on the use of cyber-physical systems. His remarks aligned with three ways that we see our manufacturing customers solve data challenges in Industry 4.0.…

Changes in technology and consumer expectations create new challenges for how retailers create a single view of their customers, predict consumer preferences and discover fine-grain detail to manage their supply chains. Of course, these have always been important goals for retailers, but it used to be easier to understand the market signals (because there were fewer of those) and also to choose the right actions to take (because there were fewer possibilities there too).…

Changes in technology and customer expectations create new challenges for how insurers engage their customers, manage risk information and control the rising frequency and severity of claims.

Carriers need to rethink traditional models for customer engagement. Advances in technology and the adoption of retail engagement models drive fundamental changes in how customers shop for and purchase insurance coverage. To engage with their customers, our insurance customers seek “omni-channel” insight and the ability to confidently recommend the next best action (NBA) to their customers.…

Hortonworks provides enterprise Hadoop for the telecommunications service provider, and Hortonworks Data Platform (HDP) is architected from the ground up with the centralized YARN-based architecture and core enterprise services for data governance, security and cluster operations that can revolutionize your telecommunications business.

As the originators of Hadoop, leaders in the developer community, and partners for your success, nobody is better to help you become a data-centric telecommunications enterprise.

Hortonworks supports most of the largest North American carriers.…

This is a unique moment in time. Fueled by open source, Apache Hadoop has become an essential part of the modern enterprise data architecture and the Hadoop market is accelerating at an amazing rate.

The impressive thing about successful open source projects is the pace of the “release early, release often” development cycle, also known as upstream innovation. The process moves through major and minor releases at a regular clip and the downstream users get to pick the releases and versions they want to consume for their specific needs.…

Since our founding in 2011, Hortonworks has had a fundamental belief: the only way to deliver infrastructure platform technology is completely in open source. Moreover, we believe that collaborative open source software development under the governance model of an entity like the Apache Software Foundation (ASF) is the best way to accelerate innovation that targets enterprise end users since it brings the largest number of developers together in a way that enables innovation to happen far faster than any single vendor could achieve and in a way that is free of friction for the enterprise.…

The Beginning of our Oil and Gas Journey

Hortonworks began working with the Oil & Gas industry in November of 2013 and our involvement accelerated during a very busy 2014 campaign. Our momentum was set against a backdrop early in the year of milestones in drilling and production across unconventional shale plays in North America, along with with a number of acquisitions, mergers, and divestitures that continued to shape the industry landscape.…

The public sector is charged with protecting citizens, responding to constituents, providing services and maintaining infrastructure. In many instances, the demands of these responsibilities increase while government resources simultaneously shrink under budget pressures.

How can Intelligence, Defense and Civilian agencies do more with less?

Apache Hadoop is part of the answer. Within the public sector, Hadoop delivers data-driven actions in support of IT efficiency and good government.

Download the White Paper

In one example, the United States Internal Revenue Service had to reduce its auditor headcount due to budget cuts.…