Home » Tag Archives: NoSQL (page 6)

Tag Archives: NoSQL

Seven Databases in Seven Weeks – Hbase Day 2

This post is a recap of the second day of Hbase from the Seven Databases in Seven Weeks book. Most of the commands and scripts can be found at GitHub: https://github.com/eyalgo/seven-dbs-in-seven-weeks/tree/master/hbase/day_2 Streaming Script The first thing in day 2 was to download lots of data (big data) and stream it into Hbase. There’s a JRuby script, which I had to ...

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MongoDB 2.6 is out

Introduction MongoDB is evolving rapidly. The 2.2 version introduced the aggregation framework as an alternative to the Map-Reduce query model. Generating aggregated reports is a recurrent requirement for enterprise systems and MongoDB shines in this regard. If you’re new to it you might want to check this aggregation framework introduction or the performance tuning and the data modelling guides. Let’s ...

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NoSQL Job Trends – February 2014

So, it is a few days late but we finally have the NoSQL installment of the February job trends. For the NoSQL job trends, we continue to focus on Cassandra, Redis, Couchbase , SimpleDB, CouchDB, MongoDB, HBase, and Riak. As was stated previously, Voldemort has been replaced by Couchbase and we are looking at other options to include as well. Given the nature of Hadoop and ...

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Apache Cassandra steaming through 2.1 Release

Apache Cassandra is a high performance database system used in an ever growing number of enterprise companies to whom scalability is of major importance. For instance, Netflix, ebay, Reddit and many more companies are adopting Cassandra to their systems, not to mention that Facebook played a crucial part on making it an open source Top Level Project in the first place. Cassandra  is ...

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Redis sort with Jedis

In this post we will talk about the Redis SORT command. Redis provides the SORT command that we can use to retrieve or store sorted values from a LIST, SET or ZSET. The simplest form we can use the command over a KEY like the example below:           SORT numbers_list This will sort the values contained ...

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Neo4j Backup: Store copy and consistency check at Mark Needham

One of the lesser known things about the Neo4j online backup tool, which I wrote about last week, is that conceptually there are two parts to it: Copying the store files to a location of your choice Verifying that those store files are consistent. By default both of these run when you run the ‘neo4j-backup’ script but sometimes it’s useful ...

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MongoDB and the fine art of data modelling

Introduction This is the third part of our MongoDB time series tutorial, and this post will emphasize the importance of data modelling. You might want to check the first part of this series, to get familiar with our virtual project requirements and the second part talking about common optimization techniques. When you first start using MongoDB, you’ll immediately notice it’s ...

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A beginner’s guide to MongoDB performance turbocharging

Introduction This is the second part of our MongoDB time series tutorial, and this post will be dedicated to performance tuning. In my previous post, I introduced you into our virtual project requirements. In short we have 50M time events, spanning from the 1st of January 2012 to the 1st of January 2013, with the following structure:       ...

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MongoDB time series: Introducing the aggregation framework

In my previous posts I talked about batch importing and the out-of-the-box MongoDB performance. Meanwhile, MongoDB was awarded DBMS of the year, so I therefore decided to offer a more thorough analyze of its real-life usage. Because theory is better understood in a pragmatic context, I will first present you our virtual project requirements. Introduction     Our virtual project ...

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Why Your Boring Data Will Outlast Your Sexy New Technology

So you’re playing around with all those sexy new technologies, enjoying yourself, getting inspiration from state-of-the-art closure / lambda / monads and other concepts-du-jour… Now that I have your attention provoking a little anger / smirk / indifference, let’s think about the following. I’ve recently revisited a great article by Ken Downs written in 2010. There’s an excellent observation in ...

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