The Integrated Rule-Oriented Data System (iRODS) is open source data management software used by research, commercial, and governmental organizations worldwide. iRODS is released as a production-level distribution aimed at deployment in mission critical environments. It virtualizes data storage resources...
An open source (GPL v3) Data Center Inventory Management (DCIM) application. opendcim.org Resources Readme Activity Custom properties Stars 314 stars Watchers 64 watching Forks 209 forks Report repository Releases 22 openDCIM-23.04 Latest Oct 15, 2023 + 21 releases Packages No packag...
MySQLstands out for its remarkable user-friendliness and efficiency. It’s ideal for various applications, from small personal projects to large-scale enterprise systems. Its robust security, high performance, and scalability ensure it can easily handle complex data management tasks. MariaDBdistinguishes...
Production Ready Open Source Software Enhance your infrastructure with Percona database distributions, backups, clustering, observability, monitoring and management solutions, and k8s operators. Percona software is designed for peak performance, uncompromised security, limitless scalability, and disaster-proofed...
For example, an open source database won’t hit your budget, nor will you have restrictions on how you can use it. Like acontent management system (CMS)such as WordPress, open source tools can offer immense power and functionality. Even better, some of the most popular (and supported) da...
Apache Atlas is an open source toolthat providesa foundational set of metadata management and data governance capabilities for organizations with data-intensive platforms. It's primarily designed for use inHadoopclusters, but it can also exchange metadata with tools and processes outside the Hadoop ...
IT-driven data management projects usually offer limited value because technology professionals lack business users’ deep understanding of the organization’s data. Define your goals. Since you can’t reach your destination if you don’t know where it is, the first step on your data management...
funders (or perhaps your data management team) to assess the amount of risk associated with a given project. The data management plan also addresses how to manage that risk. For example, if sensitive data is used within a project, is it appropriate to re-use that data for future projects?
Framework for building databases and data management systems. Apache Flink A real-time stream processing framework for big data analytics and applications. Apache Hadoop A distributed storage and processing framework for large-scale data processing tasks. ...
Group Management Introduction Procedure Version Management Introduction Procedure Configuration Management Introduction Procedure Example Review Management Introduction Procedure Client Development Pre-release Check App Release SDK Privacy and Security Statement Fields Variable Data Types ...