InfoQ Homepage Database Content on InfoQ
-
The Wizardry of Scaling
Oren Eini presents several architectural concepts – divide and conquer, background evaluation, one way messaging, the single responsibility principle - helpful to build highly scalable systems.
/presentations/The-Wizardry-of-Scaling/en/smallimage/Oren.JPG)
-
The State of the Art on .NET
Amanda Laucher and Josh Graham present some of the most important elements of the .NET ecosystem: F#, M, Boo, NUnit, RhinoMocks, Moq, NHibernate, Castle, Windsor, NVelocity, Guerilla WCF, Azure, MEF.
/presentations/The-State-of-the-Art-on-.NET/en/smallimage/Amanda&Josh.jpg)
-
Patterns for Cloud Computing
Simon Guest presents 5 cloud computing patterns along with examples and Azure solutions for scaling, multi-tenancy, computing, storage and communication.
/presentations/Patterns-for-Cloud-Computing/en/smallimage/Simon.png)
-
Project Voldemort: Scaling Simple Storage
Jay Kreps discusses the architecture, algorithms, implementation and deployment of Voldemort, a distributed storage system. He also presents the problems solved using Voldemort at LinkedIn.
/presentations/Project-Voldemort-Scaling-Simple-Storage/en/smallimage/Jay Kreps.png)
-
Horizontal Scalability via Transient, Shardable, and Share-Nothing Resources
Adam Wiggins details how memcached, CouchDB, Hadoop, Redis, Varnish, RabbitMQ, Erlang apply the transient, shardable and share-nothing principles to achieve horizontal scalability.
/presentations/Horizontal-Scalability/en/smallimage/Adam.png)
-
Facebook’s Petabyte Scale Data Warehouse using Hive and Hadoop
Ashish Thusoo and Namit Jain explain how Facebook manages to deal with analysis of 12 TB of compressed new data everyday with Hive’s help, an open source data warehousing framework built on Hadoop.
/presentations/Facebook-Hive-Hadoop/en/smallimage/facebookP.jpg)
-
Evolving the Key/Value Programming Model to a Higher Level
Billy Newport discusses the ways that developers interact with key/value stores, entity vs column-oriented approaches, sync vs async operations, large data sets, and collocating closures and data.
/presentations/newport-evolving-key-value-programming-model/en/smallimage/BillyNewport.jpg)
-
ORM, EDM, ESQL, Entity Framework, LINQ to SQL, LINQ to Entities - Confused?
Eric Nelson explains what are ORM, EDM, and ESQL, what is the difference between LINQ to SQL and LINQ to Entities, which one should be used, accompanied by hands on demos showing how to use them.
/presentations/ORM-LINQ-Entity-Framework-Eric-Nelson/en/smallimage/Eric.jpg)
-
Pouring Data on Troubled Markets - Quantitative Portfolio Management Technology at BGI
Eoin Woods explains how Barclays Global Investors (BGI) designed Apex to meet the challenges it faces and the Java technologies which were chosen for an architecture with variations on standard J2EE.
/presentations/woods-bgi-apex-architecture/en/smallimage/Eoin.jpg)
-
Thoughts on the Generic vs. Specific Tradeoff
Stefan Tilkov offers guidelines for the architect looking for a solution to his problem. Should it be a generic or a specific one? He compares several such solutions outlining the pros and cons.
/presentations/Generic-Specific-Tradeoffs-Stefan-Tilkov/en/smallimage/Stefan.jpg)
-
Lean & Mean Tokyo Cabinet Recipes
In this FutureRuby talk, Ilya Grigorik explores Tokyo Cabinet's features such as the key-value store, ordered traversal, attribute search, schemaless data structures,indexing, and scripting with Lua.
/presentations/grigorik-tokyo-cabinet-recipes/en/smallimage/Ilya.jpg)
-
What's New and Exciting in JPA 2.0
JPA 2.0 adds in many things which were missing in JPA 1.0. This talk covers features like advanced locking, enhanced query language, expression/criteria API and more advanced O/R mapping support.
/presentations/whats-new-and-exciting-in-jpa-20/en/smallimage/MKeith.jpg)