Search Results for "data processing"
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Showing 8 open source projects for "data processing"
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Logstash
Centralize, transform and stash your data
Logstash is a server-side data processing pipeline that dynamically ingests data from numerous sources, transforms it, and ships it to your favorite “stash” regardless of format or complexity. It supports and ingests data of all shapes, sizes and sources, dynamically transforms and prepares this data, and transports it to the output of your choice. Logstash is extensible, with over 200 plugins available to let you create and configure your pipeline how you choose. -
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Datapipe
Real-time, incremental ETL library for ML with record-level depend
Datapipe is a real-time, incremental ETL library for Python with record-level dependency tracking. Datapipe is designed to streamline the creation of data processing pipelines. It excels in scenarios where data is continuously changing, requiring pipelines to adapt and process only the modified data efficiently. This library tracks dependencies for each record in the pipeline, ensuring minimal and efficient data processing. -
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HPCC Systems
End-to-end big data in a massively scalable supercomputing platform.
HPCC Systems® (www.hpccsystems.com) from LexisNexis® Risk Solutions is a proven, open source solution for Big Data insights that can be implemented by businesses of all sizes. With HPCC Systems, developers can design applications with Big Data at their core, enabling businesses to better analyze and understand data at scale, improving business time to results and decisions. HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single, complete end-to-end architecture for efficient processing. -
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GETL
ETL engine based on Groovy
P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with... -
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apache spark data pipeline osDQ
osDQ dedicated to create apache spark based data pipeline using JSON
This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. -
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JBerd
Java tools for decoding and manipulating BER encoded ASN.1 Files
A simple Java ASN BER decoder and profiler A tool for easy manipulation of BER encoded files. An "awk" for ASN.1 BER (for Unix people) or maybe a "notepad" for ASN.1 BER (for Windows people). Jberd (Java BER decoder) is a lightweight BER decoder and associated tools for interpreting and processing BER encoded ASN.1 files. The following facilities are provided: • JBerd Profiler. A tool for profiling the contents of BER encoded files • JBerd Flattener. A tool for converting BER... -
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DataStreamProcessor
TPL (transfer,parse,load) tool for batch files.
This is an enterprise-strength system for batch file processing, e.g. transfer, parse and load data using batch (text) files within and without the enterprise. The system is controlled through parameters and doesn't require any programming, code generation or code deployment. This is a heavy duty back end system with no GUI. Nonetheless it's very easy to use, easier than most GUI-based ETLs, even easier to install. -
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Pypes is a framework which allows users to break complex data processing logic down into a series of smaller less complex tasks. These tasks, referred to as components, can then be connected so that the output of one becomes the input to another.
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