Search Results for "java split"
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Showing 4 open source projects for "java split"
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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Stigg | SaaS Monetization and Entitlements APIA monetization platform is a standalone middleware that sits between your application and your business applications, as part of the modern enterprise billing stack. Stigg unifies all the APIs and abstractions billing and platform engineers had to build and maintain in-house otherwise. Acting as your centralized source of truth, with a highly scalable and flexible entitlements management, rolling out any pricing and packaging change is now a self-service, risk-free, exercise.
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xsd2pgschema
Relational database replication tool based on XML Schema
...Moreover, differential update, and XPath query evaluation over PostgreSQL are possible. PgSchema server, serialized relational data model server, can be used to speed up the analysis of complex XML Schema. Large XML file can be split through xmlsplitter, a flexible XML splitter based on XPath and StAX. -
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HBase - Hannibal
Monitor and maintain HBase configured for manual splitting
Hannibal is a tool to help monitor and maintain HBase-Clusters that are configured for manual splitting. While HBase provides metrics to monitor overall cluster health via JMX or Ganglia, it lacks the ability to monitor single regions in an easy way. This information is essential when your cluster is configured for manual splits, especially when the data growth is not uniform. This tool tries to fill that gap by answering the following questions: How well are regions balanced over... -
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This software supports live schema updates in relational databases. Developed by Preetika Tyagi as part of the DUOSS project led by Dr. Rida Bazzi.
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A disk based production quality RTree based upon Guttmans quadratic split algorithm having following features: Buffering with dirty write, Index joins, Tree Seeding, Window and NN queries, Runtime STR Packing capability, Completely Thread safe.
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