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

IBM Big Data Hub

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 7 – Initial query using the historical data (2003 – 2018).

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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).