Amazon Redshift is one of the first data warehouse to offer a massively parallel, distributed, columnar, relational data store that is incredibly fast and can analyze billions of rows of data. You can create an Amazon Redshift cluster in few minutes and can scale as data volumes increases easily.

While data warehouse on cloud offers power and scale for analyzing petabytes of data, you still need to apply the fundamental data management processes such as data integration, data quality, data masking, data governance, master data management to the data present in the data warehouse. Transferring of on-premises data to the cloud is a big undertaking task that needs to be done efficiently to maximize the benefits of the data warehouse. Loading large data sets take a long time and consumes huge computing resources. The data integration workflows such as ETL or ELT job needs to run quickly and load the data sets in the right format into the data warehouse to avoid slow analytic queries.

Informatica Intelligent Enterprise Cloud Data Management offers a complete data management solution for Amazon Redshift that covers data integration (ETL or ELT), data quality, data masking, data security, streaming, mass migration, master data management, and data governance.

You can enhance the security to secure and protect the data. You can optimize the performance and allows optimum utilization of the system resources to achieve fast query execution when you read data from the source and write data to the target. The following lists the features that you can use to optimize the performance:

Security enhancements
Transformation Tunning
Partitioning
Distribution Key, Primary Key, and Sort Key
Analyze and Vacuum target table