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October 19, 2017 | Shelby Khan | Dataworks Summit

7 Sessions From DataWorks Summit Sydney You Should See

October 18, 2017 | Kevin Jordan | Hortonworks Case Study

How Much Can You Trust Your Big Data?

October 16, 2017 | Matt Spillar | Hortonworks Case Study

Leveraging Data to Make Decisions in Financial Services

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Economic progress can seem like a two-edged sword – we relish the opportunities for career and lifestyle choices offered by our expanding cities, but urban transportation woes can sometimes make us wonder if it’s all worth it. The Association of Southeast Asian Nations (ASEAN) recently celebrated its 50th anniversary this year – and there is […]

The rate of change in data management is astonishing.  In just a few years we have seen the emergence of big data turn into a data lake and then we pushed these concepts to the edge where we capture our data. Along the way, the traditional paradigm of building a monolithic store to drive analytics […]

This is the second post in the Engineering @ Hortonworks blog series that explores how we in Hortonworks Engineering build, test and release new versions of our platforms. In this post, we deep dive into something that we are extremely excited about – Running a container cloud on YARN! We have been using this next-generation […]

One of the most exciting new features of HDP 2.6 from Hortonworks was the general availability of Apache Hive with LLAP. If you missed DataWorks Summit you’ll want to look at some of the great LLAP experiences our users shared, including Geisinger who found that Hive LLAP outperforms their traditional EDW for most of their […]

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 […]

With the increases in data volumes, explosion in number of devices and sophistication of attackers, current cybersecurity tools are challenged processing the millions of events and providing insights fast enough. Cybersecurity teams spend hours analyzing threat events by going from one tool to the next.  We are pleased to announce the general availability of Hortonworks […]

Lloyds Banking Group has been awarded this year’s data accolade for its Digital Analytics System Delivery (DASD) project. The goal was to build a data environment that could be used to derive predictive models for fraud detection. Lloyds Banking Group partnered with Hortonworks to create a data analytics platform and integrated a data science toolkit […]

This is the introductory post in a blog series that explores how we in Hortonworks Engineering build, test and release new versions of our platforms. In this post, we introduce the basic themes and set context for deeper discussions in subsequent blogs. We at Hortonworks are very proud of the work we do. Along with […]

Overview As more and more workloads are being brought onto modern hardware in the cloud, it’s important for us to understand how to pick the best databases that can leverage the best hardware. Amazon has introduced instances with directly attached SSD (Solid state drive). Both Apache HBase and Apache Cassandra are popular key-value databases. In […]

Guest authored by Ross Porter, Director Presales Systems Engineering EMEA, DellEMC One of the hottest topics for both DellEMC and Hortonworks today is how to protect big data repositories, data lakes, from the emerging breed of cyber-attacks. We sat down to discuss this topic to address some of the common questions we’ve faced, and would […]

At the DataWorks Summit/Hadoop Summit, these three keynote speeches on the future of analytics and its use in business are absolutely must-see.

In business, numerous decisions are made every day with the goal of being as successful as possible. A wrong move could mean unhappy customers and loss of revenue. With so much at stake, what drives these decisions? A cornerstone is the first stone placed when constructing a new building. This stone is used as the […]

The annual Strata Data Conference will make its next stop in New York the week of September 25-29. The core theme of the conference this year is around driving business transformations through the power of data. And in the world of data, few topics excite as much as data science, machine learning, and deep learning. […]

With the explosion of the Internet of Things (IoT), businesses need to reevaluate their existing data strategies and adopt a more modern data architecture.  Building a near-real time streaming application that take advantage of data-in-motion can be a daunting journey to undertake. Most streaming applications require a considerable amount of coding, testing and time to […]

What eventually drives us to purchase something online? This isn’t a hypothetical or philosophical question, as businesses are forced to find answers every day. Consumers across every industry have access to almost anything they can find on a search engine, however with such a big supply of goods, businesses must manage the Big Data that’s […]

Social Media News

@hortonworks: Common challenges in deploying #BigData projects: resolving performance and utilization problems… https://t.co/7pfDwYgQe0

@hortonworks: The right systems and services are crucial in measuring performance for successful #BigData & #analytics projects https://t.co/iWrgUrK37M

@hortonworks: What is #BigSQL and how does it relate to #Apache Hadoop? https://t.co/AteZUhXKg1 via @IBM

@hortonworks: One of the best parts of @DataWorksSummit is the sessions. Here are ones you will want the slides for: https://t.co/1GGabrAjKV #DWS17

@hortonworks: Open source delivers #DataAnalytics benefits to #enterprise computing. https://t.co/QunM9FcYyJ via @Scott_Gnau #opensource

@hortonworks: . @ACI_Worldwide's #BigData initiative was sparked out of the opportunity of #fraud detection, here's the story: https://t.co/27BfdMlWsj