Search Results for "https c lib"
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Showing 3 open source projects for "https c lib"
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Network Performance Monitoring | StatseekerUsing just a single server or virtual machine, Statseeker can be up and running within minutes, and discovering your entire network in less than an hour, without any significant effect on your bandwidth availability.
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Tremendous is the global payouts platform for businesses sending gift cards and money at scale.Trusted by 20,000+ leading organizations, Tremendous has delivered billions of rewards and enables businesses to reach recipients across 230+ countries and regions. Recipients have 2,500+ payout options to choose from, including gift cards, prepaid cards, cash transfers, and charitable donations.
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AvaSattva
Search replace files or pipe
...And for ETL alike work like Load and filter files -> Extract -> Transform output. For replacing files, you can preview and backup, in multiple directories and files or pipe, with plain text matching or using general Regex as C++, C#, Java, Scala; So msr is a good tool to learn and test Regex since it has different colors for matched groups captured by the Regex pattern. -
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Excel AddIn : In2Sql
ODBC Cloud SQL Explorer. Connection Manager. Query Editor.
https://sourceforge.net/projects/in2sql Video for best usage https://rb.gy/tvl8lk This Excel Addin helps SQL analytic create an Excel report based on ODBC relational data. *Creates table base on data from a relational database *Generate a pivot report using the same external connection (1) *Some ad-hoc tools are available - like "keep only" and "remove only" *you can use the row limit option for exploring the largest dataset *The ODBC connection manager is available... -
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apache spark data pipeline osDQ
osDQ dedicated to create apache spark based data pipeline using JSON
...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. ...
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