Search Results for "hbase"

Apache Bigtop is a project focused on building and packaging the Hadoop ecosystem and related big data components. It provides a consistent framework for testing, packaging, and deploying Hadoop distributions, including tools like HDFS, YARN, Spark, Hive, HBase, and more. By maintaining cross-platform builds (RPMs, DEBs, Docker images, and Kubernetes support), Bigtop makes it easier for organizations to deploy big data stacks in different environments. It also includes a set of integration tests and smoke tests to ensure compatibility and stability between ecosystem components. Developers and operators can use Bigtop to assemble customized Hadoop distributions tailored to their infrastructure and workloads. ...

...Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more. Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.

DataNucleus provides Java data persistence to a range of datastores using JDO/JPA/REST APIs. *** Note that code development is no longer on SourceForge (code on SourceForge is for versions up to 3.3.5 only) ***

Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time...

...The latest version supports named fields in the STL files for tagging data parsed in the Prefix Tree and anonymous functions for parsing dynamic message payloads. We now output JSON objects and I'm working on HBase integration. By outputting to JSON it also leaves open the possibility for on the fly in memory correlation between events. Read the included README before starting, it has a quick start guide and info on the constructors.

Common Haskell code for other semantic.org projects, and other useful things.