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Roger Noble on Muck Rack

Roger Noble

Basingstoke
As seen in: Glow Radio 106.5, BBC Radio Berkshire, Towards Data Science
Freelance Radio & Entertainer - Get In touch and lets talk,check my stuff on Camberleynet.co.uk & Farnboroughnet.co.uk & buzzpodcasts.co.uk
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Articles

Mastering Hadoop, Part 3: Hadoop Ecosystem: Get the most out of your cluster

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By Niklas Lang, Roger Noble, Mikkel Dengsøe, Rohan Paithankar
| Towards Data Science
As we have already seen with the basic components (Part 1, Part 2), the Hadoop ecosystem is constantly evolving and being optimized for new applications. As a result, various tools and technologies have developed over time that make Hadoop more powerful and even more widely applicable. As a result, it goes beyond the pure HDFS & MapReduce platform and offers, for example, SQL, as well as NoSQL queries or real-time streaming.
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Forget About Cloud Computing. On-Premises Is All the Rage Again

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By Ari Joury, Roger Noble, Mikkel Dengsøe, Rohan Paithankar
| Towards Data Science
Ten years ago, everybody was fascinated by the cloud. It was the new thing, and companies that adopted it rapidly saw tremendous growth. Salesforce, for example, positioned itself as a pioneer of this technology and saw great wins. The tides are turning though. As much as cloud providers still proclaim that they’re the most cost-effective and efficient solution for businesses of all sizes, this is increasingly clashing with the day-to-day experience.
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Mastering Hadoop, Part 1: Installation, Configuration, and Modern Big Data Strategies

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By Niklas Lang, Roger Noble, Mikkel Dengsøe, Rohan Paithankar
| Towards Data Science
Nowadays, a large amount of data is collected on the internet, which is why companies are faced with the challenge of being able to store, process, and analyze these volumes efficiently. Hadoop is an open-source framework from the Apache Software Foundation and has become one of the leading Big Data management technologies in recent years. The system enables the distributed storage and processing of data across multiple servers.
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