For Software Engineers, DevOps, Data Architects, and IT Leaders
The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
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Open source Extract Transform Load engine written in Java
ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications.
Key Features:
* embeddable, open source and free
* fast and scalable
* uses target database features to do transformations and loads
* manual and automatic data mapping
* data streaming
* bulk data loads
* data quality features using SQL, JavaScript? and regex
* data transformations
Requirements
* Java...
Aruke is a CMS (Content Manager System) written in PHP. It's similar to other CMS but it's uses SQLite DB files in order to store all data. It support some feature like xhtml,comments,summaries,auto menu,users,upload,multilanguage, etc...