AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Redshift Resizing (Elastic vs. Classic) and new Redshif

The video tutorial explains how to resize Amazon Redshift clusters using elastic and classic resize methods. Elastic resize allows quick adjustments with minimal downtime, while classic resize is more involved and can take longer. The tutorial also covers snapshot restore resize to minimize downtime during classic resize. New features like RA3 nodes and Redshift data lake export are introduced, enabling independent scaling of compute and storage, and efficient data export in Parquet format.

What is the impact of changing node types during a classic resize operation?

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What is the main difference between elastic resize and classic resize in Redshift?

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How does snapshot restore resize help during a classic resize operation?

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What are RA3 nodes and how do they benefit Redshift users?

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Explain the advantages of using Apache Parquet format for unloading Redshift queries.

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