Sharing Industrial Development Power Interview Questions and Answers

AWS Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

• Redshift allows for easy scaling of data storage and processing power

• It is optimized for high performance analytics and complex queries

I used dc2.large nodes to spin up the Redshift cluster.

• dc2.large nodes are optimized for compute-intensive workloads.

• These nodes have 2 vCPUs, 15.25 GiB memory, and 160 GB SSD storage.

• They are suitable for small to medium-sized Redshift clusters.

Migrating a large on-premise data warehouse to AWS Redshift and optimizing query performance.

• Developed a migration plan to move terabytes of data from on-premise data warehouse to Redshift.

• Implemented data partitioning and distribution keys to optimize query performance.

• Utilized Redshift's query optimization features to improve overall system performance.

Workload management in AWS Redshift involves managing query queues, setting concurrency levels, and assigning priorities.

• Use WLM to define query queues and set concurrency levels for each queue

• Assign priorities to different user groups or queries within a queue

• Adjust WLM configuration based on workload patterns and performance requirements

• Monitor and optimize query performance using WLM metrics and logs

AWS Redshift is a fully managed data warehouse service in the cloud, optimized for high performance analytics.

• Redshift follows a Massively Parallel Processing (MPP) architecture

• It consists of leader nodes and compute nodes

• Leader node manages client connections and coordinates compute nodes

• Compute nodes store data and perform queries in parallel

• Redshift Spectrum allows querying data in S3 directly without loading into Redshift