Compiles code and distributes it to the compute nodes, also assigns a portion of the data to each compute node.Build execution plans to execute database operations - complex queries.If greater than 1 compute nodes, a leader node coordinates the compute nodes and communicates with external client apps.Notice that Redshift stores data as columns, not like normal relational database storing data in rows. Very efficient, targeted data compression encoding schemes.Efficient storage and optimum query performance.Build multi-stage query operations that retrieve, compare, and evaluate large amounts of data.Connect using many types of client applications.Enterprise-class data warehouse and relational database query and management system.Redshift lets you easily save the results of your queries back to your S3 data lake using open formats, like Apache Parquet, so that you can do additional analytics from other analytics services like Amazon EMR, Amazon Athena, and Amazon SageMaker. With Redshift, you can query and combine exabytes of structured and semi-structured data across your data warehouse, operational database, and data lake using standard SQL. No other data warehouse makes it as easy to gain new insights from all your data. Redshift Primary Key and Foreign Key ConstraintsĪnalyze all of your data with the fastest and most widely used cloud data warehouse Redshift Data Storage and Retrieval Patterns Copying AWS KMS–encrypted snapshots to another AWS Region
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