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  1. Go over the differences between data lakes, data warehouses, and databases. Explore various data formats and their applicability in a data lake environment. Use included hands-on exercises to practice setting up a basic data lake and performing simple data operations.

  2. Explore top courses and programs in Data Lakes. Enhance your skills with expert-led lessons from industry leaders. Start your learning journey today!

  3. 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.

  4. Learn about key concepts like data lake architecture, operation, and integration with existing data systems. Delve into how data lakes are integral to AI and machine learning workflows. Go over the differences between data lakes, data warehouses, and databases.

  5. Understand the relationship between data lake storage and data ingestion. Learn how to use AWS lake formation to create a data lake efficiently. Get familiar with the automation of AWS Lake Formation using blueprints and workflows.

  6. Learn to build scalable and secure data lakes with AWS Lake Formation. Understand the data analytics pipeline and prepare to deploy data lakes that solve your business’ data challenges.

  7. 21 maj 2024 · Learn about the big data ecosystem and how to use Spark to work with massive datasets. Learners will also store big data in a data lake and develop Lakehouse architecture on the Azure Databricks platform.

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