nosql

Many companies are starting to follow the large Web players (Google, Yahoo, FaceBook, Amazon &c) in adopting scalable non-relational databases, that can handle the extreme demands of web-scale. New "nosql" databases not only address these demands, but also do it efficiently without the huge traditional costs of RDBMS clusters & storage solutions.

 

Here's a nice explanation of the different models & patterns of these databases:

udib 24/11/2009 - 00:49

http://highscalability.com/blog/2011/6/20/35-use-cases-for-choosing-your...

 

The article gives a list of types and properties of the differnet nosql databases and then some criteria to help choose the right one for an application.

 

The previous articles listed at the start of the post

ittayd 21/06/2011 - 10:55

I'd like to thank Ran for giving a great talk on NoSQL & Cassandra!


 

My summary can be found here:

udib 09/08/2010 - 18:35

Large scale analysis solution must be able to provide very fast response time (<1sec) to some complex queries which are typically structured from a large fact table which is joined to many dimension tables and grouped-by them.

 

Using standard SQL databases such as MySQL InnoDB (as well as leading commercial vendors) will result in poor performance even when correct indexes are set up since in many case the database will be forced to perform unnecessary full table scans which will kill the performance if dimension tables are large.

 

udid 30/03/2010 - 11:28

 I gave last week a talk on Non-relational databases in general & Cassandra in particular. Focussed on the advantages & cost/implications, to assist organizations in making a smart choice.

 

Posted the slides here:

http://www.slideshare.net/dibau_naum_h/nonrelational-databases-3328461

 

The last couple of slides contain links for great resources for further learning.

udib 08/03/2010 - 11:39

Michael wrote in his post about beauty of MongoDB.

I tried to run a couple lines of code and found it very easy to get started with.

There are steps to get there:

 

1. Download binaries. I  used version 1.2.3 for Win32

2. Create the data folder C:\data\db

3. Run mongod.exe

 

At this step you have MongoDB running.

 

4. Download C# driver

5. Create a console application with Visual Studio

6. Add references to driver's dlls

 

Now you are ready to write code.

 

I just copies a lines of code from Michale's post into Main method and added console output:

 

igorz 24/02/2010 - 12:12

 

Modern projects need to manipulate with huge data amount, as result the necessity of high scalability and  high performance is very actual and always grows.

RDBMS databases cannot supply ultimate solution and alternative concepts like in NoSQL systems look very interesting.

 

The first interesting option is key-value stores like Google Big Table or Cassandra that provide fast and extremely large-scale solution but you can forget the comfort work with SQL queries like in RDBMS databases.  

 

Another option that tries to combine between advantages of RDBMS databases and key-values stores  is document-oriented databases like MonogDB.

 

MongoDB is development by commercial company as open-source project written in C++.

There are a lot of documentation, tutorials and samples on project site. 

 

michael 18/02/2010 - 17:15
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