Thursday 11th April, 2013
2:30pm to 3:20pm
More and more databases crop up every year, and it can be difficult to navigate and filter through all the possibly options. Previously, once SQL was chosen it was a matter of finding out which provider to use. These days, we first need to find out if we are going for SQL, a key-value store, a document database or something completely different. And once that's chosen, what system should we use?
This talk aims at presenting some current cloud friendly databases and briefly present their data model, strengths and weaknesses.
If NoSQL is your answer, you are probably asking the wrong question / 14:30 - 14:40
This session is not about bad mouthing MongoDB, CoachDB, big data, map reduce or any of the other more recent additions to the database buzzword bingo. Instead it is about looking at how NoSQL is a confusing term and a more realistic assessment how old and new approaches in databases impact todays architectures...
by Lukas Kawhe Smith
Datomic - moving away from SQL but keeping relational / 14:45 - 14:55
Databases traditionally replace information when updating their model of the problem domain. This can lead to the loss of information in the system, and it becomes impossible to recreate the foundation of calculations observed in the system over time.
Datomic has a radical new approach in which information is never deleted, but always kept. New facts are added to the database, but it is still possible to go back in time and examine how the database looked in the past. Treating the database as a value also opens up for moving read-locks from a central datastore to clients.
This talk will demonstrate how Datomic aids in delivering consistent and correct results to queries and calculations, without inducing stress upon the central datastore. We will also explore how the immutable nature of Datomic databases makes them an obvious choice for caching calculations.
by Thomas G. Kristensen
Everything is a search - scale it... / 15:00 - 15:10
From Key-Value Lookups to Spatial Polygons almost every request is a search. If you start thinking of you application as a search engine everything left to do is scaling it out. Elasticsearch is build on top of Lucene high-performance search engine to take of the scale part for you. Let me show you what search engine at scale can do for you!
by Simon Willnauer
My twitter alter-ego is all about PHP, databases and other code related stuff. Working for @liip. bio from Twitter
Founder of ElasticSearch Inc & BerlinBuzzwords, Apache Lucene Hacker, Committer & PMC Member bio from Twitter
Hacking the entire stack, analysing data and making simpler software through common sense and awesome tools bio from Twitter
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