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Synchronization (computer science) In computer science, synchronization is the task of coordinating multiple processes to join up or handshake at a certain point, in order to reach an agreement or commit to a certain sequence of action.
Data synchronization is the process of establishing consistency between source and target data stores, and the continuous harmonization of the data over time. It is fundamental to a wide variety of applications, including file synchronization and mobile device synchronization. Data synchronization can also be useful in encryption for ...
Data science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...
Quicken. Quicken is a personal finance management application originally developed and offered by Intuit, Inc. Intuit sold Quicken to H.I.G. Capital in 2016, [1] and H.I.G. sold Quicken to Aquiline Capital Partners in 2021. [2] Quicken runs on Windows and Mac systems, though the data is incompatible between the two versions.
Cloud computing [1] is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user. [2] Large clouds often have functions distributed over multiple locations, each of which is a data center .
It curtails down the high prices of hardware and software [1] The major disadvantages of cloud computing are privacy issue and service provider's wilful destruction of stored data to create space for fresh data entry. There are security issues of various kinds related to cloud computing falling into two broader categories: First, the issues ...
Modern data centers must support large, heterogenous environments, consisting of large numbers of computers of varying capacities. Cloud computing coordinates the operation of all such systems, with techniques such as data center networking (DCN), the MapReduce framework, which supports data-intensive computing applications in parallel and distributed systems, and virtualization techniques ...
While the term has been in use since the mid to late 1990s [2] the growth of cloud computing and Cisco's evangelism of unified data center fabrics followed by unified computing (an evolutionary data center architecture whereby blade servers are integrated or unified with supporting network and storage infrastructure) starting March 2009 has renewed interest in the technology.