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We’re fully into the “age of data”. New developments in connected and non-connected devices are multiplying the rate at which data is created thus challenging organizations to think differently about their data architecture. Today’s enterprises may not be equipped with collecting, curating and analysing this data in real time and always carry the pressures of driving competitive advantage.
With the launch of Hortonworks DataFlow (HDF), companies can now collect data at the edge, process and secure it in motion – at the same time deposit it into Hadoop. Join Hortonworks & WANdisco as they present a resilient joint solution that gives you control over the location of data and protection against failure enabling you to build a fast, secure data engine across multiple Hadoop clusters.
As we kick off the new year I wanted to thank our customers, partners, Apache community members, and of course the amazing Hortonworks team, for an amazing 2016. Let’s take a step back and look at some of the Hortonworks highlights from last year… IN THE ECOSYSTEM there was tremendous acceleration. At the beginning of […]
It’s no secret that there is a data explosion. A recent IDC analyst report from April 2014 indicated the volume of data, known as the digital universe, is doubling in size every two years. And by 2020, there will be as many digital bits as there are stars in the universe. There are many reasons […]
Guest author: Jeff Kelly, Data Strategist, Pivotal The phrase “digital transformation” gets bandied about a lot these days, but what exactly does it mean? When you strip away the hyperbole, I believe digital transformation is the process by which enterprises evolve from using traditional information technology to merely support existing business models to adopting modern […]
People often think about cloud architecture in simplistic terms: you’re either public, private, or hybrid. (In fact, there’s even confusion about the meaning of the term “hybrid” itself—this video helps clear it up: In the real world, of course, virtually every implementation is hybrid—no company puts 100% of its IT environment into one single cloud. […]
The 100% open source and community driven innovation of Apache Hive 2.0 and LLAP (Long Last and Process) truly brings agile analytics to the next level. It enables customers to perform sub-second interactive queries without the need for additional SQL-based analytical tools, enabling rapid analytical iterations and providing significant time-to-value. TRY HIVE LLAP TODAY Read about […]
Cloud Computing is one of the big three trends impacting IT architectures today. What some may not realize is that an underlying connected data architecture is not only essential for cloud, but sits at the confluence of all three trends. Here’s why. The first big trend is IoT. According to BI Intelligence, we can now […]
It’s never been easier to get started with Apache Hadoop. The Hortonworks Sandbox combines 100% open-source Apache Hadoop and its data access engines (Apache Spark, Apache Hive, Apache HBase, Apache Solr, Apache Pig) with enterprise-grade Operations (Apache Ambari), Security (Apache Ranger and Apache Knox) and Governance (Apache Atlas). The Sandbox also provides tools for devOps, […]
How Hortonworks can help hotel industry capture value through Insights Aggregation and Predictive Analytics Big Data has transformed every industry including the hospitality vertical. Through customer analytics, targeted segmentation, and campaigning, hotels would like to focus on delivering personalized promotions, cross and up-selling travel services. Our objective is to address these challenges through an open-source […]
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I found I had to allow the flash plugin to open and click the login/register button in the right upper corner.
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