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30.12.2009
# Holiday fun with Neo4j
Neo4jr-Social is a self contained HTTP REST + JSON interface to the graph database Neo4j. Neo4jr-Social supports simple dynamic node creation, building relationships between nodes and also includes a few common social networking queries out of the box (i.e. linkedin degrees of seperation and facebook friend suggestion) with more to come. Think of Neo4jr-Social is to Neo4j like Solr is to Lucene. | 30.12.2009 18:15 Uhr | java jruby graph database shard network
06.07.2009
# The End of a DBMS Era (Might be Upon Us) | blog@CACM | Communications of the ACM
Hence, in my opinion, the days of a ?one size fits all? monolithic DBMS are at an end. The replacement will be a collection of vertical market specific engines, with much higher performance | 06.07.2009 15:45 Uhr | database
30.11.2008
# Magic/Replace - Data Cleanup for Everyone from Dabble DB
clean up data ? no magic wand required | 30.11.2008 18:14 Uhr | data
11.11.2008
# Some Datasets Available on the Web
Most of these datasets are related to machine learning, but there are a lot of government, finance, and search datasets as well. | 11.11.2008 11:52 Uhr | data
13.01.2008
# Inside Architecture : Engineering for Serendipity
Without a uniform interface for the information, integration based on REST will allow the sharing of operations, but not information. In short: If you stop at REST, the stack is incomplete.
The missing part is a consistent set of information semantics. A key part of my push for a shared global integration model is precisely this: information identification standards and the semantics around how information can be used. | 13.01.2008 00:18 Uhr | rest soa data
17.12.2007
# Amazon SimpleDB 101 & Why It Matters - GigaOM ← http://www.infoq.com/news/2007/12/simpledb
If designers of these ORMs want to stay in the scalable apps game, they should take a serious look at using SimpleDB as a data store. Better yet, they should build ORMs from the ground up to integrate with SimpleDB.More than two years ago I wrote that Web 2.0 needs Data 2.0. The combination of EC2, S3 and SimpleDB is a toolkit for assembling massively scalable REST addressable web databases. Data 2.0 is now officially here. May the fun and games begin. | 17.12.2007 16:43 Uhr | amazon simpledb aws space data
28.11.2007
# Ken DeLong's Java Musings : Weblog
Horizontal Database Partitioning with Spring and Hibernate | 28.11.2007 12:00 Uhr | java spring hibernate data
27.11.2007
# Testing RDDB: RESTful Ruby Database - igvita.com ← http://www.infoq.com/news/2007/11/the-rdbms-is-not-enough
RDDB is a document-oriented, RESTful database. The codebase is still young, and yet it already provides three different storage engines, support for partitioning, caching, and custom views. I couldn?t resist and decided to take it for a test-drive. | 27.11.2007 16:43 Uhr | ruby database rest
# Grid Computing by Nikita Ivanov : Weblog
Split/Aggregate for Scalability and Performance on the Grid | 27.11.2007 16:42 Uhr | java space data
09.06.2007
# WTF is a Data Grid, anyhow? - /dev/null
Ever since Tangosol (now Oracle) introduced the notion of a data grid, there has been a lot of interest in the concept, especially after all the major analysts started highlighting the technology. With eXtreme Transaction Processing (XTP) and Event-Driven Architectures threatening to enter the mainstream of enterprise application development, I get a lot of questions about what data grids are, and how they can be used. | 09.06.2007 20:10 Uhr | java space data esp
12.04.2007
# The GigaSpaces Blog » Blog Archives » When you need more than just a Data Grid
These requirements are very closely related to each other, as in many cases what drives the complexity is the way one handles scalability. In their case, they realized that SOA is the right approach to achieve scalability, but as we wll know, SOA is just a concept and not a solution on its own. Most of the existing SOA solutions tend to make things even more complex in the way they handle the distribution of the service because of the fact that they ignore the realization that services are stateful and that breaking your application into network components may address the separation of concerns, but introduces a whole set of other issues related to how those service components maintain their state and communicate without adding performance overhead, complexity and reliability due the increase of moving parts in the network. | 12.04.2007 20:30 Uhr | java space data soa
# Geva Perry's Blog: It's the architecture, stupid!
Besides the many GigaSpaces customers who are proof that this approach is being accepted. Look at the architectures of Google, Amazon, eBay, MySpace, LiveJournal and other Web stalwarts. They have all come to the same conclusion - with different nuances. They have all realized that the level of scalability, reliability and performance they need -- while keeping cost and complexity down -- will not come from a J2EE app server + database + messaging. It will not come from an n-tier architecture. Instead, they moved to a scale-out architecture, which aims for a shared-nothing approach. | 12.04.2007 20:27 Uhr | java space data database
11.04.2007
# Thoughts on Scaling Without a Database
Robert McIntosh wrote a thought-provoking piece on designing a scalable Web application without a database. I share three reasons why such a notion deserves some merit. | 11.04.2007 20:29 Uhr | data xml web database
31.12.2006
# Stefan Tilkov's Random Stuff: Semantic Enterprise Architecture
Obie suggests using RDF/OWL for {resources|web services|system components} metadata. | 31.12.2006 15:07 Uhr | owl rdf metadata
11.01.2006
# Home - Compass Framework ← http://www.theserverside.com/news/thread.tss?thread_id=38478
As of version 0.8, Compass also provides a Lucene Jdbc Directory implementation, allowing storing Lucene index within a database for both pure Lucene applications and Compass enabled applications. | 11.01.2006 19:51 Uhr | database search java
30.07.2005
# MonetDB: Query Processing at Light-Speed ← http://monetdb.cwi.nl/TechDocs/APIs/JDBC/index.html
MonetDB is an open source high-performance database system developed at CWI, the Institute for Mathematics and Computer Science Research of The Netherlands. It was designed to provide high performance on complex queries against large databases, e.g. combining tables with hundreds of columns and multi-million rows. As such, MonetDB can be used in application areas that because of performance issues are no-go areas for using traditional database technology in a real-time manner. MonetDB has been successfully applied in high-performance applications for data mining, OLAP, GIS, XML Query, text and multimedia retrieval. | 30.07.2005 20:58 Uhr | database java olap