AWS Certified Data Analytics Specialty 2021 – Hands-On - Athena ACID Transactions

The video tutorial explains the use of ACID transactions in Athena, powered by Apache Iceberg, allowing concurrent users to modify data safely. It highlights compatibility with tools like Elastic MapReduce and Apache Spark, eliminating the need for custom record locking. The tutorial also covers time travel operations for data recovery and compares governed tables in Lake Formation with ACID support in Athena. It emphasizes the importance of periodic table compaction to maintain performance and concludes with the future of ACID in data analytics.

What is the primary advantage of using Apache Iceberg with Athena for ACID transactions?

• It allows concurrent users to safely modify data without conflicts.

• It only supports batch processing.

• It requires custom record locking for data safety.

• It is incompatible with Elastic MapReduce.

Which feature of ACID transactions allows for data recovery?

• Batch processing

• Time travel operations

• Data encryption

• Custom record locking

How does the ACID support in Athena differ from governed tables in Lake Formation?

• Athena requires manual data compaction, while Lake Formation does it automatically.

• Athena provides better data encryption.

• Athena does not support ACID transactions.

• Lake Formation is incompatible with Apache Iceberg.

What command is used to compact data in Athena to maintain performance?

• Optimize table rewrite data using bin pack

• CREATE TABLE command

• SELECT * FROM table

• DELETE FROM table

Why is periodic data compaction necessary in Athena?

• To increase data redundancy

• To ensure data encryption

• To prevent performance degradation over time

• To enable batch processing