Hadoop used as a data ingestion layer for large volumes of data
Hadoop is a system of archive
In both these scenarios, Netezza would would be the tool for performing deep data analysis, while Hadoop would be used as both a cost-effective storage solution and ETL processing system.
Original title and link: Hadoop and Netezza: Differences & Similarities ( NoSQL database ©myNoSQL)
I just hope I'll get to see such systems at work.
Original title and link: Urban OS: The Web of City Things OS ( NoSQL database ©myNoSQL)
Download: http://nodejs.org/dist/v0.5.8/node-v0.5.8.tar.gz
Windows Executable: http://nodejs.org/dist/v0.5.8/node.exe
Website: http://nodejs.org/docs/v0.5.8/
Documentation: http://nodejs.org/docs/v0.5.8/api/
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I spend almost 90% of my time inside a Terminal or a web browser, and the 11" is not a problem for me in this contexts. I force myself to write code with an 80 column max line, so even using a bigger screen I tend to use small terminal apps. The 11" screen is enough to have a big font in the Terminal app to display 80 column x 37 rows. Web browsing is also ok, just a matter of tuning the font size to read comfortably.
The old MBA was so good from many points of view that I rapidly …
Problem is, I've not found a single DOI for any article in Annals and Magazine of Natural History that actually works. If you try and resolve the DOI for Wallace's paper, doi"10.1080/037454809495509 , you get the dreaded "Error - DOI not found" web page. So something like 20,000 DOIs simply don't work. The only way to make the DOI work is append it to "http://www.tandfonline.com/doi/abs/", e.g. http://www.tandfonline.com/doi/abs/10.1080/037454809495509 …
In 1.0 we added the ability to build secondary indexes on your data stored in Riak. We developed this functionality because, quite frankly, people needed a more powerful way to query their data.
In Depth Blog Post on Secondary Indexes
Official Documentation for Secondary Indexes
Riak Pipe And Revamped MapReduce
Riak's MapReduce functionality isn't anything new, but we did a lot of work in this release to make …
So it's with particular interest that I've watched a new incarnation of server side JavaScript take hold in the developer community. Node.js is still young, but undeniably exciting in that it offers a highly scalable, event-driven I/O model for building networked applications. Node.js is built to run on V8 , which is an open source JavaScript engine developed by Google that compiles JavaScript into native machine code before execution, resulting in extremely …
A tuning test bed : we can easily try changes on our database reader first, make it writer, and ensure things are working. If things go south, it's just a single command to return to the previous writer.
Zero downtime schema changes (almost) : One of the big headaches of a decently-sized web app is making large database schema changes. These can take a while on a live database server, either locking tables or slowing down database performance considerably. With MMM , you can make large …
SQL Servers along with the entire concept of relational database and object-relational impedance mismatch
Evolutionary databases and managing them (including upgrade scripts and unit tests working against mock databases to verify behaviors on continuous integration servers)
Another practical sample would be - planned replacement of API implemented as REST via WCF (with SOAP and all sorts of weird configuration problems) towards a dead-simple implementation on HttpListener…
From: Pere Urbón Bayes Date: 2011/9/28Subject: Berlin Graph coding dojo, call for participation!To: Neo4j user discussions , neo4jrb@googlegroups.comGraph databases, together with graph processing problems, are a trendy topic right now. Neo4j is a well known graph database, but there are also others like OrientDB, DEX, etc. and there are also a big set of graph processing toolsets like Blueprints, Apache Hamma, Google Pregel like systems, etc. So from recomendations systems …