AWS Certified Data Analytics Specialty 2021 – Hands-On - Glue Costs and Anti-Patterns

The video tutorial discusses the billing structure for AWS Glue services, emphasizing the costs associated with crawlers, ETL jobs, and development endpoints. It highlights anti-patterns, advising against using multiple ETL engines with Glue, and suggests alternatives like Data Pipeline or EMR. The tutorial also covers Glue's capabilities for streaming data, explaining its integration with Kinesis and Kafka using Apache Spark's Structured Streaming.

What is the billing model for AWS Glue's development endpoints?

• Charged by the hour

• Charged by the minute

• Charged by the day

• Charged by the second

Which of the following is NOT recommended when using AWS Glue?

• Using multiple ETL engines

• Using Apache Spark

• Using Glue for batch processing

• Using Glue for streaming data

What was a previous limitation of AWS Glue that has been resolved?

• Batch processing

• Data storage in S3

• Streaming data processing

• Schema extraction

What technology does AWS Glue use for real-time streaming ETL processes?

• Apache Pig

• Apache Hive

• Apache Flink

• Apache Structured Streaming

How can batch processing scripts be adapted for streaming data in AWS Glue?

• By rewriting the entire script

• By using a different ETL engine

• By using a different programming language

• By making minor adjustments