Posts Categorized: Pythian

A Look at SQL Plan Management

The goal of SQL Plan Management is to provide a consistent execution plan regardless of changes made to the database environment. While consistency is great in the face of changes to an environment, it is important not to miss out when changes would improve the runtime execution. SQL Plan Management has three components that meet this goal.

Log Buffer #314, A Carnival of the Vanities for DBAs

It is an industry norm, supported by analyst researches, that blogs are the best informal medium to share the information.  This unique medium provides readers with increased leverage in negotiating the hard turns in their technological lives. Log Buffer makes that leverage more powerful.

Deploying Cloudera Impala on EC2 with Example Live Demo

Pythian Big Data Impala Implementation

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.

Meet Pythian’s Oracle Apps Experts at Collaborate 13!

There’s a rare event happening next week: All three of Pythian’s Oracle Apps tech leads will be in the same place. Vasu Balla, Maris Elsins, and recently-minted Oracle Ace Director Yury Velikanov will all be at Collab 13 this year. Since we’re a globally distributed, round-the-clock team, this is not something that can happen very often.

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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