In computing, data isinformationtranslated into a form that is efficient for movement or processing. Relative to today's computers and transmission media, data is information converted intobinarydigitalform. It
a streaming data architecture or stream processor handlesdata in motionand an extract, load and transform (ELT) batch is treated as an event in a continuous stream of events. Streams of enterprise data are fed into data streaming software, which ...
Master data management solutions help ensure that a company’s data is accurate and governed across enterprise applications, such as enterprise resource planning (ERP), customer relationship management (CRM), product lifecycle management (PLM), enterprise performance management (EPM), and more. ...
Data analytics as a practice is focused on using tools and techniques to explore and analyze data in real-time or near-real-time to uncover hidden patterns, correlations, and trends. The goal is predictive and prescriptive analysis, using advanced techniques to make accurate, dynamic, and forwar...
Data visualization is the graphical representation of information. It uses visual elements like charts to provide an accessible way to see and understand data.
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One of the most common and well-known categories of data is quantitative data or data that can be expressed in numbers or numerical values. This guide takes a deep look at what quantitative data is, what it can be used for, how it’s collected, its advantages and disadvantages, and more...
To facilitate the implementation and domain adaptation of the complete ASR pipeline, NVIDIA created theDomain Specific – NeMo ASR Application. This application is developed using NeMo and lets you train or fine-tune pre-trained (acoustic and language) ASR models with your own data. This gives yo...
Data storytelling can help build credibility with data-driven insights and visualizations. Learn about data storytelling with tips and examples.
Why is big data analytics important? How does it work? Discover the many benefits of a data-driven approach to decision-making with this introductory guide.