February 21, 2012
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Jonathan Ellis’s slides presented at Fosdem 2012 are covering some of the problems with GC and the way Cassandra tackles them. While this is one of those presentations where the slides are not enough to understand the full picture, going through them will still give you a couple of good hints.
(Full Story: Dealing With JVM Limitations in Apache Cassandra)
January 12, 2012
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(Full Story: Cassandra Data Modeling Examples)
December 23, 2011
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Netflix is making all of our components distributed and fault tolerant as we grow domestically and internationally.
Cassandra is a core piece of our cloud infrastructure.
(Full Story: Cassandra from the trenches: migrating Netflix)
December 7, 2011
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Advantages of Cassandra
> Linear scalability
> Low operational costs
> Hybrid NoSQL
Administration and operational issues
> nodetool, previously known as nodeprobe
> Major compactions
> Tombstones
> Client reconnection
> Thrift issues
(Full Story: 4 Months with Cassandra, a love story | Cloudkick)
November 26, 2011
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New to Cassandra? If so, you’re in the right place. Let the experts at DataStax get you up to speed through our visual tutorials, which are designed to introduce you to the essential aspects of Cassandra. There’s no easier way to get a handle on what Cassandra is all about.
(Full Story: Cassandra Essentials Tutorials | DataStax)
November 26, 2011
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Cassandra data structures can be accessed using different programing languages like (.net, Java, Python, Ruby etc.). Data can be directly loaded from the relational databases (like Access, SQL Server, Oracle, MySQL, IBM DB2, etc.) using these programing languages. Custom loaders could be used to load data into Cassandra data structure(s) based on the enactment rules, customization level and the kind of data processing.
(Full Story: Migration of Relational Data structure to Cassandra (No SQL) Data structure)
September 29, 2011
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It’s hard to understate the sophistication of the tools needed to instrument, track, move, and process data at scale. The development and implementation of these technologies is the responsibility of the data engineering and infrastructure team. The technologies have evolved tremendously over the past decade, with an incredible amount of collaboration taking place through open source projects.hive
(Full Story: Building data science teams – O’Reilly Radar)
July 18, 2011
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Overview=========The idea behind Kundera is to make working with NoSQL Databases drop-dead simple and fun. Kundera is being developed with following objectives:
o To make working with NoSQL as simple as working with SQLo To serve as JPA Compliant mapping solution for NoSQL Datastores.o To help developers, forget the complexity of NoSQL stores and focus on Domain Model.o To make switching across data-stores as easy as changing a configuration.
(Full Story: GitHub: Kundera – a JPA compliant Object-Datastore Mapping Library for NoSQL Datastores)
May 13, 2011
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Cassandra key/value are basically stored in aCassandra column orCassandra super column
(Full Story: Cassandra Data Model with Example)
February 28, 2011
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(Full Story: Rainbird: Realtime Analytics at Twitter)
