Building Data Analytics Solutions Using Amazon Redshift

– • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
– • Design and implement a data warehouse analytics solution
– • Identify and apply appropriate techniques, including compression, to optimize data storage
– • Select and deploy appropriate options to ingest, transform, and store data
– • Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
– • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
– • Secure data at rest and in transit
– • Monitor analytics workloads to identify and remediate problems
– • Apply cost management best practices