29 lines
1.3 KiB
Markdown
29 lines
1.3 KiB
Markdown
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---
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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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---
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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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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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and textual files. Since many of the techniques only work in a few engines, they
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are recommended only when the traditional approaches falter:
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<ul>{useCurrentSidebarCategory().items.map((item, index) => {
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const listyle = (item.customProps?.icon) ? {
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listStyleImage: `url("${item.customProps.icon}")`
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} : {};
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return (<li style={listyle} {...(item.customProps?.class ? {className: item.customProps.class}: {})}>
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<a href={item.href}>{item.label}</a>{item.customProps?.summary && (" - " + item.customProps.summary)}
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</li>);
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})}</ul>
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