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Collaboration with version control
Published in Tiffany Timbers, Trevor Campbell, Melissa Lee, Data Science, 2022
Tiffany Timbers, Trevor Campbell, Melissa Lee
Version control helps solve these challenges. Version control is the process of keeping a record of changes to documents, including when the changes were made and who made them, throughout the history of their development. It also provides the means both to view earlier versions of the project and to revert changes. Version control is most commonly used in software development, but can be used for any electronic files for any type of project, including data analyses. Being able to record and view the history of a data analysis project is important for understanding how and why decisions to use one method or another were made, among other things. Version control also facilitates collaboration via tools to share edits with others and resolve conflicting edits. But even if you’re working on a project alone, you should still use version control. It helps you keep track of what you’ve done, when you did it, and what you’re planning to do next!
Cloud Computing
Published in Matthew N.O. Sadiku, Emerging Internet-Based Technologies, 2019
The main objective of CC is to make a better use of distributed resources and solve large-scale computation problems. For example, CC can focus the power of thousands of computers on one problem enabling researchers to do their work faster than ever. It may be multiple users collaborating on documents in real time across the Internet. It may also be a web-based software which completely eliminates the need to install the software on every user’s computer. Thus, CC may be regarded as a distributed system that offers computing services via a computer communication network, usually the Internet (TCP/IP). Resources in the cloud are transparent to the users and the users need not know the exact location(s) of the resources. They can be shared among a large number of users, who should be able to access applications and data from anytime anywhere (e.g., different work locations, while traveling, etc.).
Automation in Administrative and Support
Published in Edward Y. Uechi, Business Automation and Its Effect on the Labor Force, 2023
A document management system enables an organization to store all of its documents in one system. A wide range of electronic files (e.g., a word processing document, a spreadsheet, a PDF document, a scanned image, and an audio recording) can be stored. A version control functionality may be available where employees who store the same document can be distinguished with a unique version number. Employees can access the system to search and retrieve existing documents and add new documents. The document management system comprises a computer server, a database system, and a software program, all of which may operate in a remote location accessible via the Internet.
Big data analytics and enterprises: a bibliometric synthesis of the literature
Published in Enterprise Information Systems, 2020
Sayantan Khanra, Amandeep Dhir, Matti Mäntymäki
Though the key term for this bibliometric analysis was ‘big data analytics’, it was important to identify other terms that conveyed a similar meaning in the context of the present study. Preliminary exploration on Scopus with the search term ‘big data analytics’, suggested that ‘predictive analytics’ was a common keyword that also represented the same general concept. Consequently, a search using ‘big data analytics OR predictive analytics’ resulted in the appearance of 4879 documents published at any time before 1 August 2019 from the Scopus database. The documents belonged to different categories, such as journal articles, book chapters, and conference papers among others. It may be posited that the combined search term provides an appropriate representation of extant research as search with the individual terms of big data analytics and predictive analytics identified 3309 and 4027 documents, respectively.