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November 13, 2017 | Matt Spillar | Hortonworks Case Study

How Nissan is Harnessing Big Data to Provide Value to Customers

November 10, 2017 | Syed Mahmood | Announcements

Certification of IBM Data Science Experience (DSX) on HDP is a Win-Win for Customers

November 9, 2017 | Will Xu | Hadoop Ecosystem

Ambari Kerberos support for HBase Part 1

Viewing posts by: Kevin Jordan« Back to all

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The Internet of Things (IoT) has revolutionized how we interact with our devices, companies we buy from, and people we see on a daily basis. Not only that, but smart environments consisting of devices of every kind have created business opportunities for organizations across every industry, but it has also exposed a fear surrounding IoT […]

Our customers increasingly leverage Data Science, and Machine Learning to solve complex predictive analytics problem. A few examples of these problems are churn prediction, predictive maintenance, image classification, and entity matching. While everyone wants to predict the future, truly leveraging Data Science for Predictive Analytics remains the domain of a select few. To expand the […]

The world is moving faster than ever before, and companies are finding themselves scrambling to keep up. Our society has become centered on convenience and everything happening in real time. Data insights need to happen in real time as well so that companies can maximize their ability to better serve their customers. Last week I […]

With the Internet of Things (IoT), what used to be thought of as never before imaginable has become every day occurrences, forcing companies to accelerate technological advancements faster than ever before. Extraordinary Out of the Ordinary Yesterday, I woke up to go to work as any usual day. I woke up at my normal time, […]

Yesterday, I got to attend the Next-Generation Smart Cities conference as part of the Smart Cities Week® Silicon Valley show here near our office in Santa Clara. I attended with Mark Sanders, our Hortonworks account rep who covers SLED (State and Local Government and Education) for the West. Mark travels the western U.S., working with […]

Hortonworks continues to expand its list of customers in the Asia Pacific region, as well as in the housing and building industry. We recently completed a case study to showcase how LIXIL Corporation uses HDP to be first in manufacturing for the Japanese Smart Home Market. READ THE FULL LIXIL CASE STUDY HERE LIXIL is a […]

MiNiFI is a subproject of NiFi designed to solve the difficulties of managing and transmitting data feeds to and from the source of origin, often the first/last mile of digital signal, enabling edge intelligence to adjust flow behavior/bi-directional communication. Since the first mile of data collection (the far edge), is very distributed and likely involves […]

Big Data and IoT

Hortonworks sees big data and IoT evolving together. After all, every business is a data business. And in a connected world everything is an IoT device. For example, consider the connected car. The connected car is actually multiple use cases of IoT data. There is data from the car needed for scheduled maintenance,  recalls and […]

Hortonworks DataFlow has been seeing great success being deployed in multiple use cases. We recently shared a set of real-world use cases on a webinar, and also wanted to share here so readers can peruse which types of uses cases are being implemented and see if there are parallels between current and future users of […]

“The data fabric is the next middleware.” –Todd Papaioannou, CTO at Splunk Enterprises across the globe are confronting the need to create a Digital Strategy. While the term itself may seen intimidating to some, to the business it essentially implies an agile culture built on customer centricity & responsiveness. The only way to attain Digital success […]

On the tree of automotive evolution, the modern car is a closer cousin to the computer than classic clunker. That’s the influence of tech at work — and the consumer’s appetite for it. It’s caused OEMs to prioritize infotainment and connectivity instead of just horsepower and MPGs. That shift has resulted in the expectation that […]

According to Gartner Research, by 2020 the total number of connected cars will be nine times more than that of 2015. Additionally, 80% of all new vehicles will have data connectivity, 30% of connected-vehicles will have built-in, over-the-air software capabilities, and over one billion connected automotive subsystems will be shipped. With the exponential growth of […]

To compete in the age of IoAT, organizations are tapping into data sources from a network of physical objects to design new customer experiences. The companies that are furthest along are removing operational inefficiencies from their internal processes. They are using self learning algorithms and dynamic model deployment for predictive maintenance to accelerate success in […]