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								title: Big Data
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								pagination_prev: demos/extensions/index
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								pagination_next: demos/engines/index
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								import DocCardList from '@theme/DocCardList';
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								import {useCurrentSidebarCategory} from '@docusaurus/theme-common';
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								SheetJS demonstrated the value of processing large datasets in the web browser
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								and other JavaScript environments. SheetJS libraries have pushed the limits of
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								data processing in the web browser, and some innovations and discoveries have
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								been integrated into the ReactJS framework and other foundational JS libraries.
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								JS Engines have improved over the years, but there are some hard limits to
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											2023-09-02 09:26:57 +00:00
										 
									 
								 
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								browser support using traditional methods of data processing. Vendors have
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								introduced APIs and techniques for representing and processing very large binary
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											2023-06-25 19:57:03 +00:00
										 
									 
								 
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								and textual files.
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								Since many of the techniques only work in a few engines, they are not embedded
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								in the library. They are recommended only when traditional approaches falter.
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								<ul>{useCurrentSidebarCategory().items.map((item, index) => {
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											2024-04-12 01:04:37 +00:00
										 
									 
								 
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								  const listyle = (item.customProps?.icon) ? ({
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								    listStyleImage: `url("${item.customProps.icon}")`
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											2024-04-12 01:04:37 +00:00
										 
									 
								 
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								  }) : ({});
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								  return (<li style={listyle} {...(item.customProps?.class ? {className: item.customProps.class}: {})}>
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											2024-04-12 01:04:37 +00:00
										 
									 
								 
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								    <a href={item.href}>{item.label}</a>
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								    <span>{item.customProps?.summary && (" - " + item.customProps.summary)}</span>
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								  </li>);
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								})}</ul>
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