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Displaying posts with tag: tokumx (reset)

So long, and thanks for all the help.
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Today is my last day at Tokutek. On Monday I'm starting a new opportunity as VP/Technology at CrunchTime!. If you are a web developer, database developer, or quality assurance engineer in the Boston area and looking for a new opportunity please contact me or visit the CrunchTime! career page.

I've really enjoyed my …



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Mo’ Data, Mo’ Problems
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Welcome to blog #2 in a series about the benefits of the Fractal Tree. In this post, I’ll be explaining Big Data, why it poses such a problem and how Tokutek can help. Given the fact that I am a lifelong fan of both Hip-hop and Big Data, the title was a no-brainer and, given the artist, a bit of a pun.

 I am as tired as you of hearing the term “Big Data.” It’s so overused, that it ceases to have specific meaning anymore. You see, data hardly ever starts as “big” or a “problem.” Rather, it starts small and easily manageable, but gradually grows to some unimaginable size and becomes a beast in need of slaying, like …

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Fractal Tree Greatness: The Nexus
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In my recent travels, I’ve been speaking with database users at various meetups and trade shows worldwide. Very often, I got questions centering around the best use cases for our products, be it TokuDB, our MySQL storage engine, or, TokuMX, our distribution of MongoDB. Over 90% of the time, I responded Cloud, Big Data or both. You see, in the software industry we’re like kindergartners, we like things to fit into neat categories. If you know any software sales people, you’ll recognize this as a fitting analogy (at least in terms of energy and attention span), but I digress. This strategy helps allocate resources where they are most likely to make an impact, …

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Should vegetarians open steakhouse restaurants?
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"Should vegetarians open steakhouse restaurants?"

Though someone will probably give me several examples of why they should, I'll argue that they absolutely should not. How can someone who doesn't eat steak convince others to eat at their "steak-only" restaurant?

But this is something a "professional technology benchmarker" (PTB) struggles with on a regular basis. Hello, I'm Tim Callaghan, and I'm a PTB.
professional technology benchmarker, or PTB (noun) : One who compares two technologies as part of their job. One of these technologies is usually the product of the PTB's employer, the other is almost …




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Chef Cookbooks for ClusterControl - Management and Monitoring for your Database Clusters
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December 22, 2014 By Severalnines

If you are automating your infrastructure deployments with Chef, then read on. We are glad to announce the availability of a Chef cookbook for ClusterControl. This cookbook replaces previous cookbooks we released for ClusterControl and Galera Cluster. For those using Puppet, please have a look at our Puppet module for ClusterControl.

 

ClusterControl Cookbook on Chef Supermarket

 

The ClusterControl cookbook is available on …

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TokuMX vs. PostgreSQL in EnterpriseDB's NoSQL Compression Benchmark
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Since this is my first blog I feel it's necessary to introduce myself. I'm Tim Callaghan, I work at Tokutek (makers of TokuDB and TokuMX), and I love benchmarking. While some of the content on this blog will certainly be about Tokutek technologies, I plan on exploring a wide variety of others as well. These are strictly my own personal views and opinions, and comments/feedback are always welcome. Lets get started...

A few weeks ago I …

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Puppet Module for ClusterControl - Adding Management and Monitoring to your Existing Database Clusters
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September 10, 2014 By Severalnines

If you are automating your infrastructure using Puppet, then this blog is for you. We are glad to announce the availability of a Puppet module for ClusterControl. For those using Chef, we already published Chef cookbooks for Galera Cluster and ClusterControl some time back.  

 

 

ClusterControl on Puppet Forge

 

The ClusterControl module initial release is available on …

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Big Data Integration & ETL - Moving Live Clickstream Data from MongoDB to Hadoop for Analytics
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June 16, 2014 By Severalnines

MongoDB is great at storing clickstream data, but using it to analyze millions of documents can be challenging. Hadoop provides a way of processing and analyzing data at large scale. Since it is a parallel system, workloads can be split on multiple nodes and computations on large datasets can be done in relatively short timeframes. MongoDB data can be moved into Hadoop using ETL tools like Talend or Pentaho Data Integration (Kettle).

 

In this blog, we’ll show you how to integrate your MongoDB and Hadoop datastores using Talend. We have a MongoDB database collecting …

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Best Practices for Partitioned Collections and Tables in TokuDB and TokuMX
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In my last post, I gave a technical explanation of the performance characteristics of partitioned collections in TokuMX 1.5 (which is right around the corner) and partitioned tables in relational …

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Understanding the Performance Characteristics of Partitioned Collections
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In TokuMX 1.5 that is right around the corner, the big feature will be partitioned collections. This feature is similar to partitioned tables in Oracle, MySQL, SQL Server, and Postgres. A question many have is “why should I use partitioned tables?” In short, it’s complicated. The answer depends on your workload, your schema, and your database of choice. For example, this …

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Showing entries 1 to 10 of 44 10 Older Entries

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