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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?

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Data-Driven Pitch Deck Examples for Inspiring the Next Big Screenwriter

Smart Data Collective

Big data has been very important in the creative and entertainment sectors. Many artists are using big data to improve the quality of their work. We mentioned in the past that big data has been very valuable for Hollywood. A growing number of screenwriters are discovering the wonders of big data.

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Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker

AWS Big Data

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Big Data Hub

This provides a cost-effective data analysis solution for clients that have frequently accessed data that they wish to combine with older, less frequently accessed data. With this flight delay comparison, the period from 2013–2018 had fewer flight delays for each month than the flight delay data for the period from 2003–2012.

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What Is Embedded Analytics?

Jet Global

In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Use the experts in analytics to add value to your product. Let’s just give our customers access to the data.