Bite-Sized Big Tech
This category hold all blog posts that refer to a podcast episode.
Podcast: Play in new window | Download (Duration: 42:53 — 29.7MB)
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Does the standard Dev-Test-Prod cycle make sense in a Big Data environment or should you approach this subject a little differently?
In this episode, we sum up our experiences and best practice tips regarding the infrastructure part and Data Lifecycle will be features in the next topic episode. Continue reading “Episode 121 – Infrastructure and Data Lifecycle (part 1)”
Podcast: Play in new window | Download (Duration: 39:36 — 27.4MB)
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Merry Big Data News Christmas!
Since it’s the 25th of December, we’re investigating how Big Data is changing the operations at the North Pole using a couple of blog posts from Splunk.
Podcast: Play in new window | Download (Duration: 48:43 — 33.7MB)
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This time we are joined by Paolo from Knowage who gives us a high level overview of Knowage: a totally open source suite for Business Analytics.
The Knowage suite is composed of several modules, each one conceived for a specific analytical domain. They can be used individually or combined with one another to ensure full coverage of user’ requirements, allowing to build a tailored product.
Continue reading “Episode 119 – Knowage: The Open Source Business Analytics Suite”
Podcast: Play in new window | Download (Duration: 32:31 — 22.6MB)
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In this Big Data News episode, we use an article on how some disgruntled open source projects tried to force the “net giants” to give back as an excuse to talk about open source ethics. The second article for today comes from the hand of Noel Sharkey about possible deception in modern robotics.
Podcast: Play in new window | Download (Duration: 53:21 — 36.9MB)
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When Big data projects mature from R&D projects to business critical components, it becomes important to look at how your environment can survive and recover from catastrophic failures.
Considering the not unimportant cost of a good Disaster Recovery plan, it is good to take a good look at your deployment and carefully weigh the good and bad on a granular level.
