Open Source Java ETL Tools for Mac

Please, visit www.cloverdx.com for latest product versions. Data integration platform; can be used to transform/map/manipulate data in batch and near-realtime modes. Suppors various input/output formats (CSV,FIXLEN,Excel,XML,JSON,Parquet, Avro,EDI/X12,HL7,COBOL,LOTUS, etc.). Connects to RDBMS/JMS/Kafka/SOAP/Rest/LDAP/S3/HTTP/FTP/ZIP/TAR. CloverDX offers 100+ specialized components which can be further extended by creation of "macros" - subgraphs - and libraries, shareable with 3rd parties. Simple data manipulation jobs can be created visually. More complex business logic can be implemented using Clover's domain-specific-language CTL, in Java or languages like Python or JavaScript. Through its DataServices functionality, it allows to quickly turn data pipelines into REST API endpoints. The platform allows to easily scale your data job across multiple cores or nodes/machines. Supports Docker/Kubernetes deployments and offers AWS/Azure images in their respective marketplace

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 encoded files to flat files for processing by other facilities • JBerd Decoder objects. A set of Java facilities for writing BER applications that require BER decoding Go to the "files" section (link at the top of this page) to download a pdf of detailed documentation. Andrew Forsyth

Simple and easy ETL tool useful for small data warehouse projects. Written in Java.

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. It can run in local mode also. Get json example at https://github.com/arrahtech/osdq-spark How to run Unzip the zip file Windows : java -cp .\lib\*;osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c .\example\samplerun.json Mac UNIX java -cp ./lib/*:./osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c ./example/samplerun.json For those on windows, you need to have hadoop distribtion unzipped on local drive and HADOOP_HOME set. Also copy winutils.exe from here into HADOOP_HOME\bin

Scriptella is an open source ETL (Extract-Transform-Load) and script execution tool written in Java. Its primary focus is simplicity.