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Nov 3, 2024 | 
datamation.com | Anina Ot
Data simulation is the process of generating synthetic data that closely mimics the properties and characteristics of real-world data. Simulated data has the advantage of not needing to be collected from surveys or monitoring software or by scraping websites—instead, it’s created via mathematical or computational models, offering data scientists, engineers, and commercial enterprises access to training data at a fraction of the cost.
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Apr 25, 2024 | 
datamation.com | Anina Ot
Data virtualization is a series of data management approaches that allow applications to manipulate data without any awareness of the data’s technical details, including formatting or location. By creating a single representation of data from many sources, data virtualization makes it possible to work with that data without having to move or duplicate it.
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Mar 19, 2024 | 
datamation.com | Anina Ot
Data scraping is the process of extracting large amounts of data from publicly available web sources. The data is cleaned and prepared for processing and used by businesses for everything from lead generation and market research to consumer sentiment analysis and brand, product, and price monitoring. Because there are ethical and legal concerns around data scraping, it’s important to know what’s fair game and what’s not.
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Nov 28, 2023 | 
datamation.com | Anina Ot
The relational data model is a logical way of structuring data in tables to facilitate efficient management, retrieval, and analysis. It’s built around organizing data in a table form, structured into rows and columns within multiple tables as needed. Rows correspond to individual records, each representing a distinct data entity, while columns denote the attributes or properties of these records.
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Nov 15, 2023 | 
datamation.com | Anina Ot
The hierarchical data model was one of the earliest data models and is still used primarily to represent structured data in a way that makes it easy to comprehend and access. The hierarchical data model was designed to work the way most data relationships are perceived, with data organized into a tree-like structure using branches with a shared origin point.
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Nov 9, 2023 | 
enterprisestorageforum.com | Anina Ot |other topics. Anina
Converged storage is a hardware-based approach to unified storage that combines computing, storage, and networking resources into a single optimized infrastructure. Traditional data center infrastructure uses dedicated servers, network switches, and storage arrays that need to be provisioned to support increased or decreased server loads. Converged storage combines all of these components into a single unified infrastructure that increases resource utilization in parallel with demands.
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Nov 3, 2023 | 
datamation.com | Anina Ot
Open source data mining tools—tools used to extract hidden or unknown information from large datasets—are free to use, can be tailored to individual requirements, and can be redistributed without any constraints. Open source means that the core functionality of the software, and even the code itself, can be altered. Organizations looking to harness advanced analytics without incurring high costs can use these tools to meet data scientists’ needs.
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Oct 23, 2023 | 
datamation.com | Anina Ot
Open source data mining tools—tools used to extract hidden or unknown information from large datasets—are free to use, can be tailored to individual requirements, and can be redistributed without any constraints. Open source means that the core functionality of the software, and even the code itself, can be altered. Organizations looking to harness advanced analytics without incurring high costs can use these tools to meet data scientists’ needs.
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Oct 6, 2023 | 
enterprisestorageforum.com | Anina Ot |other topics. Anina
A virtual storage area network, or vSAN, is a storage area network with a layer of abstraction between the physical hardware and the software that runs it. Traditional SANs connect physical storage devices to a standalone network—users save and access data as if the drives were local, or connected directly to their computers, allowing for a more centralized approach to data storage.
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Sep 25, 2023 | 
datamation.com | Anina Ot
Data is an invaluable resource for decision-making and strategic planning across industries, but the sheer volumes can strain resources and infrastructure if it’s not stored and managed properly. Enterprises often employ data governance and master data management strategies as part of a larger data management effort to meet that goal. Data governance is a holistic approach to your data—at its core, it refers to the set of rules and permissions by which the data is orchestrated and accessed.
