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  1. d1.awsstatic.com › classroom-training › building-data-lakes-on-awsBuilding Data Lakes on AWS

    In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake. Articulate the components and services required for building an AWS data lake. Secure a data lake with appropriate permission. Ingest, store, and transform data in a data lake.

  2. EBOOK: BUILDING A DATA LAKE ON AWS 4 A Data Lake solution on AWS, at its core, leverages Amazon Simple Storage Service (Amazon S3) for secure, cost-effective, durable, and scalable storage. You can quickly and easily collect data into Amazon S3, from a wide variety of sources by using services like AWS Import/Export Snowball or Amazon Kinesis

  3. This comprehensive guide walks through how to construct a robust data lake on AWS to empower data-driven decision making. Data lakes built using Amazon S3 and AWS Glue provide flexible, scalable data storage and analysis for the era of big data.

  4. data lake journey: how much will it cost? Understanding cost considerations can inform your organizational business case and decision-making process when evaluating the value realization outcomes for a data lake project. This whitepaper discusses the challenges of using traditional methodologies for costing data lake projects.

  5. your data lake journey: how much will it cost? Understanding cost considerations can inform your organizational business case and decision-making process when evaluating the value realization outcomes for a data lake project. This whitepaper discusses the challenges of using traditional methodologies for costing data lake projects.

  6. www.coursera.org › learn › introduction-to-designing-data-lakes-in-awsBuilding Data Lakes on AWS - Coursera

    Apply data lake methodologies in planning and designing a data lake. Describe the components and services required for building an AWS data lake. Compare the ways data can be ingested, stored, and transformed in a data lake. Explain how to secure a data lake with appropriate permissions.

  7. Build a comprehensive data catalog to find and use data assets stored in the data lake. Secure, protect, and manage all of the data stored in the data lake. Use tools and policies to monitor, analyze, and optimize infrastructure and data. Transform raw data assets in place into optimized usable formats.

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