Tag: Inside Pythian

Big Data is the Commercial Supercomputing in the Age of Datafication

Modern commercial supercomputing in the age of Datafication is what we today call Big Data. I think a better term for it would be Data Supercomputing but the industry has already spoken so Big Data it is. The architecture shifted from environments that required massively-parallel compute-intensive number crunching to massively-parallel data-volume-intensive processing.

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My Pythian Volunteer Day: Blood Donation

BD

Every employee at Pythian can use one workday per year to spend on activities to help the community. We call it a Pythian Volunteer Day. It’s up to the employee to decide what to use if for and when. This year I used my volunteer day to donate blood and this post is a short story about my experience.

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First Days as a Pythianite

What is like to work at Pythian? These are my observations based on my first days as a Pythianite.

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Structured vs Unstructured Big Data Architecture

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5 Tips for Career Success at Pythian

In homage to my three month anniversary at Pythian, I’ve comprised the following list of five tips for anyone who is considering a future within our corporation.

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When You Volunteer, Who Really Wins?

The Pythian Volunteer Day Program allows us to give back, but in the end it is the volunteer who receives the most from investing a little time in the community

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A Petabyte of Data Is a Terrible Thing to Waste

Inspired by a T-shirt he got from Splunk, Alex shares his thoughts on Big Data, data storage and the changing landscape with emerging technologies like Hadoop.

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Welcome to the Datafication Era. Are You Ready?

The era of datafication is here, businesses today are fully dependant on data. The Question is, Is your business ready?

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Working at Pythian

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Hadoop FAQ – Getting Started

Hadoop

Following my “Building Integrated DWH with Oracle and Hadoop” webinar for IOUG Big Data SIG, I got a bunch of excellent follow up questions. The most frequently asked questions are: What is the minimum I need to do to get started with Hadoop? and How do I load data into Hadoop? Since so many people are interested in the same question, it makes more sense to answer on the blog.

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