​Hortonworks founder: Ambari 2.0 is as big a deal as Hadoop 2.0

From the Atlas security project, to Ambari 2.0 and SequenceIQ, Hadoop veteran and Hortonworks co-founder Arun Murthy discusses some big-data themes of the moment.

Analytics and the Customer Journey

Competition for customers is more intense today than ever before, and companies struggle to differentiate themselves from the competition.

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Fulfilling the Promise of Big Data with HTAP

It’s clear that the promise of big data still outweighs the reality. Until now, many businesses have found an effective way to store their data, but have limited means to act on it. Much of the problem lies with businesses’ using separate systems for data storage and data processing.

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Introduction to Apache Spark

Today, Spark is being adopted by major players like Amazon, eBay, and Yahoo! Many organizations run Spark on clusters with thousands of nodes. According to the Spark FAQ, the largest known cluster has over 8000 nodes. Indeed, Spark is a technology well worth taking note of and learning about.

Interesting article from +Toptal

Hadoop as a Service (HDaaS) Reality Check

Big data isn't just for big business. Thanks to emerging Hadoop as a Service (HDaaS) platforms, small and midsize companies are positioned to ride the big data wave, according to a Research and Markets report.

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Real-Time Analytics and the Internet of Things are a Perfect Match

The Internet of Things is here and is here to stay. With billions of devices already connected and another trillion coming our way in the next decade, organizations should prepare themselves for a data flood. A data flood that can generate real-time insights in how the organization is performing. Using a plethora of data sources, such as smart meters, in-store sensors, medical devices, automotive sensors and wearables, organization can start to optimize their business.

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SLIDESHOW: Hadoop as a Service: 18 Cloud Options

Hadoop is a cornerstone technology for many big data projects and applications. But many organizations lack the time, expertise and budget to build and optimize their own Hadoop clusters. Not by coincidence, the Hadoop-as-a-service market (i.e., Hadoop in the cloud) will grow nearly 85 percent annually from 2014 to 2019, according to Research and Markets. Here’s a sampling of options cloud-based Hadoop option.

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