Tag: Pythian

COLLABORATE13 Day Two

MAbbey’s musings on Monday at COLLABORATE13

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COLLABORATE13 Day One

MAbbey’s musings and thoughts about Sunday at COLLABORATE13

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COLLABORATE13 Day Zero

MAbbey’s journey to COLLABORATE13; a dissertation on the pains and fortunes of traveling with our beloved Air Canada and more …

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The Smallest Details Are the Ones that Make You Better

One of the things I love about my career (Oracle DataBase Administrator) , is how fragile it is on a day in and day out basis. I can say with certainty that every day I turn on my laptop to…

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Which Partitions Does the SQL Statement Access?

This is a short blog post on how one can prove that a particular partition of the table or index is accessed by a specific query.

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Deploying Cloudera Impala on EC2 with Example Live Demo

A little while ago I blogged about (and open sourced) an Impala-powered soccer visualization demo, designed to demonstrate just how responsive Impala queries can be. Since not everyone has the time or resources to run the project themselves, we’ve decided to host it ourselves on an EC2 instance.

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COLLABORATE 13 à la Pythian

Like many previous IOUG/OAUG/Quest shows, Pythian will be in Denver next week!

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How to Get the Most Out of Collaborate! Talking from Experience

First, the most important advice I can give you is to relax and have FUN!

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Using Ansible to Secure Cloudera Manager Installation on a Hadoop Cluster

Building a secure Hadoop cluster requires protecting a number of services which comprise Hadoop infrastructure. If you are using CDH distribution, then Cloudera Manager (CM) is one of the components that needs to be secured. There is a good step by step guide in CM documentation, and it’s easy to follow for one server, but what when you have hundreds of them? There are different approaches to the problem of managing server’s configuration at scale, but I’d like to focus on Ansible which is a neat framework for parallel commands execution and complex rollouts.

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Performance Settings of Concurrent Managers

This is the second article in a series about internals and performance of concurrent managers. In this post, we’ll take a look at three important settings that affect the performance of the concurrent managers: number of processes, “sleep seconds”, and “cache size”. This article might be a bit on the theoretical side, but it should provide a good understanding of how these settings actually affect the behavior and performance of concurrent managers.

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