AWS Certified Data Analytics Specialty 2021 – Hands-On - Newer Redshift Features, AQUA

The video tutorial discusses recent innovations in Amazon Redshift, focusing on RA3 nodes, which allow for independent scaling of compute and storage. It covers Redshift Data Lake Export, enabling efficient data export to S3 in Parquet format. The introduction of spatial data types and cross-region data sharing is highlighted, simplifying data management across regions. The Advanced Query Accelerator (Aqua) is explained, which enhances query performance by processing data closer to S3. These features collectively improve Redshift's efficiency and flexibility.

What is the primary advantage of using RA3 nodes in Redshift?

• They offer unlimited storage capacity.

• They allow independent scaling of compute and storage.

• They are cheaper than other node types.

• They automatically optimize queries.

What format does Redshift Data Lake Export use to store data in S3?

• XML

• Apache Parquet

• CSV

• JSON

Which new data types were introduced in Redshift for mapping applications?

• Numeric and Text

• Geometry and Geography

• Temporal and Spatial

• Graph and Network

What is required to enable cross-region data sharing in Redshift?

• Additional storage

• A special license

• Use of RA3 nodes

• A dedicated network connection

What is the main benefit of Aqua in Redshift?

• It reduces storage costs.

• It accelerates query processing by up to 10 times.

• It provides real-time analytics.

• It enhances data security.