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Data Partitioning Content on InfoQ


Latest featured content about Data Partitioning

Finding the Right Data Solution for Your Application in the Data Storage Haystack

Topics
Data Access,
NoSQL,
Database,
Data Storage,
Data Partitioning,
Patterns

With the recent NoSQL movement there are several alternative data storage solutions available compared to the traditional relational databases. In this article, author Srinath Perera discusses the various data storage options and what to consider when choosing each of these solutions.

Ilya Grigorik on Tokyo Cabinet, MySQL and Ruby HTTP Performance

Topics
EC2,
Ruby,
Amazon Web Services,
Dynamic Languages,
MySQL,
Amazon,
HTTP,
Relational Databases,
Companies,
Languages,
Deployment / Datacenter,
IaaS,
Data Access,
Database Design,
Data Analysis,
W3C,
Database Management,
Data Storage,
Architecture,
Programming,
Data Partitioning,
Database,
FutureRuby,
Performance & Scalability,
Infrastructure,
TokyoCabinet,
Cloud Computing,
Curl,
Specifications

Ilya Grigorik discusses his company's PostRank algorithm for tracking reader engagement with content. Also: his experience scaling MySQL, Tokyo Cabinet, Ruby HTTP libs, Solr, Amazon EC2 and more.

News about Data Partitioning

VMware Releases SQLFire 1.0

Topics
Java,
SQL,
Caching,
SpringSource,
Relational Databases,
Languages,
Persistence,
VMWare,
Clustering & Caching,
Data Access,
Database Replication,
GemFire,
vFabric,
Programming,
Performance & Scalability,
Infrastructure,
Database,
Companies,
Data Partitioning

VMware releases SQLFire 1.0 a distributed SQL database geared towards high availability and horizontal scalability which offers table replication, table partitioning and parallel execution of queries.

JBoss Releases Hibernate 4.0

Topics
JBoss,
JPA,
RedHat,
Application Servers,
Java EE,
Companies,
Java,
Languages,
Persistence,
Data Access,
Programming,
Database,
Data Partitioning,
Hibernate

JBoss Releases Hibernate 4.0 which comes with Multi-tenancy support, the introduction of a standard mechanism for writing Hibernate extensions, initial refactorings towards OSGI and several other cleanups.

Facebook on Hadoop, Hive, HBase, and A/B Testing

Topics
HBase,
Operations,
Deployment / Datacenter,
Data Analysis,
Data Access,
Database Design,
Columnar Databases,
Database Management,
Infrastructure,
Data Partitioning,
Database,
Architecture,
Data Warehousing,
Data Visualization,
Performance & Scalability,
Testing,
Facebook,
Hadoop,
Data Warehouse

The Hadoop Summit of 2010 included presentations from a number of large scale users of Hadoop and related technologies. Notably, Facebook presented a keynote and details information about their use of Hive for analytics. Mike Schroepfer, Facebook's VP of Engineering delivered a keynote describing the scale of their data processing with Hadoop.

Databases Roundup: Data Sharding for ActiveRecord and Faster Postgres IO

Topics
Ruby,
Dynamic Languages,
Languages,
Concurrency,
Data Access,
Database,
ActiveRecord,
Programming,
Performance & Scalability,
Ruby1.9,
Data Partitioning

In this databases roundup we take a look at DataFabric, FiveRun's recently open sourced data sharding plug-in for ActiveRecord. Also: a look at speeding up Postgres data access using the asynchronous client API and Ruby 1.9's Fibers.