Distributed “cloud” databases allow for a new level of scalability and flexibility. These new sparse, columnar databases support a practically unlimited number of columns within a single table, and managing hundreds or even thousands of column name/qualifiers within a client application can be a significant challenge. CloudGraph provides services and infrastructure to impose the structure of your business domain model, regardless of its complexity, as a service layer over various supported big-table style “cloud” databases, such as HBase and Cassandra. Application developer’s deal with higher-level typed structures with meaning within the application domain, rather than row and column qualifiers and values, typically manipulated as un-typed Java byte arrays.
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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+, while using Apache Avro as the data serialization format.
Public repository.
Hadoop Job for incremental loading messages from Kafka topics onto hdfs with multiple file output semantics