Home » Tag Archives: NoSQL (page 6)

Tag Archives: NoSQL

Apache Cassandra steaming through 2.1 Release

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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

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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

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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

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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

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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

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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

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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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Reactive Cassandra

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Or an adventure on reading data reactively from Cassandra. Overview Let’s first try to define what reactive means from programming point of view. Functional reactive programming is programming paradigm for reactive programming using the building blocks of functional programming. Functional programming is a programming paradigm, a style of building the structure and the elements of computer programs, that treats computation, ...

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NoSQL is not just about BigData

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There is so much debate on the SQL vs NoSQL subject, and probably this is our natural way of understanding and learning what’s the best way of storing data. After publishing the small experiment on MongoDB aggregating framework, I was challenged by the JOOQ team to match my results against Oracle. Matching MongoDB and Oracle is simply honoring Mongo, as ...

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MongoDB “Lightning Fast Aggregation” Challenged with Oracle

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What does “Scale” even mean in the context of databases? When talking about scaling, people have jumped to the vendor-induced conclusion that: SQL doesn’t scale NoSQL scales It is very obvious that NoSQL vendors make such claims. It has also been interesting that many NoSQL consumers made such claims, even if they probably confused SQL in general with MySQL in ...

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