1. What is a proof of concept in Amazon Redshift?
Answer: A proof of concept in Amazon Redshift is a three-step process that involves identifying the goals and success criteria, setting up a proof of concept, and developing a project plan for evaluation.
2. What are some best practices for designing tables in Amazon Redshift?
Answer: Some best practices for designing tables in Amazon Redshift include choosing the best sort key and distribution style, using automatic compression, defining constraints, using the smallest possible column size, and using date/time data types for date columns.
3. What are some best practices for loading data in Amazon Redshift?
Answer: Some best practices for loading data in Amazon Redshift include using a COPY command to load data, using a single COPY command, loading data files, compressing data files, verifying data files before and after a load, using a multi-row insert, loading data in sort key order, loading data in sequential blocks, using time-series tables, using a staging table to perform a merge, and scheduling around maintenance windows.
4. What is the system and architecture overview of Amazon Redshift?
Answer: The system and architecture overview of Amazon Redshift includes the data warehouse system architecture, performance, columnar storage, workload management, and using Amazon Redshift with other services.
5. What are some factors that can be evaluated when analyzing data in Amazon Redshift?
Answer: Some factors that can be evaluated when analyzing data in Amazon Redshift include trip_day, trip_month, trip_year, trip_quarter, trip_month_week, trip_week_day, temp_c, precip_amount_mm, and is_holiday.