Search Results for "https file server"
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Showing 7 open source projects for "https file server"
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1
Pentaho
Pentaho offers comprehensive data integration and analytics platform.
Pentaho couples data integration with business analytics in a modern platform to easily access, visualize and explore data that impacts business results. Use it as a full suite or as individual components that are accessible on-premise, in the cloud, or on-the-go (mobile). Pentaho enables IT and developers to access and integrate data from any source and deliver it to your applications all from within an intuitive and easy to use graphical tool. The Pentaho Enterprise Edition Free Trial... -
2
AvaSattva
Search replace files or pipe
See https://github.com/qualiu/msr/ Match/Search/Replace: msr.exe/msr-Win32.exe/msr.cygwin/msr.gcc**/msr-i386.gcc** Match/Search/Replace/Execute/* Files/Pipe Lines/Blocks. Filter/Load/Extract/Transform/Stats/* Files/Pipe Lines/Blocks. Not-IN-latter: nin.exe/nin-Win32.exe/nin.cygwin/nin.gcc**/nin-i386.gcc** Get Exclusive/Mutual Line-Set or Key-Set; Remove Line-Set or Key-Set matched in latter file/pipe; Get Unique/Mutual/Distribution/Stats/* Files/Pipe Line-Set or Key-Set. ... -
3
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 Java classes. ... -
4
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. It can run in local mode also. -
Securden Privileged Account ManagerDiscover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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5
Informatica ExecuteWorkflow
A utility that uses Informatica Operations API
A Java utility that uses the Informatica Operations API allowing parameter inputs, trapping of suspended workflows and ability to send an email on failure. This utility extends the functionality of the pmcmd startworkflow and starttask command. If you pass in a parameter file and individual parameters on the command line, a temporary parameter file is created that has the values from the parameter file and appends the individual parameters. The e-mail sent is in HTML format using... -
6
Informatica Create ctl
automate Informatica control file creation
Createinfactl is a Java utility that enables Administrators to fully automate Informatica deployments from the command line by creating thedeployment group control XML file to be used with the pmrep command “deploydeploymentgroup”. Default settings for the control file can be overridden at the command line and works with both static and dynamic deployment groups in the repository. Please review the “Using the Deployment Control File” section in the Informatica Command Reference guide for further help on the deployment control file. ... -
7
Toolsverse ETL Framework
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 *...
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