![]() ![]() In the source AWS Region, enable copying of snapshots and specify the name of the snapshot copy grant that you created in the destination AWS Region.īefore the snapshot is copied to the destination AWS Region, Amazon Redshift decrypts the snapshot using the master key in the source AWS Region and re-encrypts it temporarily using a randomly generated RSA key that Amazon Redshift manages internally.If you do not specify a key ID, the grant applies to your default key. Specify the AWS KMS key ID for which you are creating the grant.This name must be unique in that AWS Region for your AWS account. Specify a name for the snapshot copy grant.For more information about creating AWS KMS keys, see Creating Keys in the AWS Key Management Service Developer Guide. If you do not already have an AWS KMS key to use, create one.In the destination AWS Region, create a snapshot copy grant by doing the following:.The process to configure the grant for copying snapshots is as follows. If you must rename your cluster, you can disable copying of snapshots in the source AWS Region, rename the cluster, and then configure and enable copying of snapshots again. If you enable copying of snapshots from an encrypted cluster and use AWS KMS for your master key, you cannot rename your cluster because the cluster name is part of the encryption context. For more information about configuring snapshot copy grants, see Copying AWS KMS–encrypted snapshots to another AWS Region. Then choose that grant when you enable copying of snapshots in the source AWS Region. To copy snapshots for AWS KMS–encrypted clusters to another AWS Region, create a grant for Amazon Redshift to use a KMS customer master key (CMK) in the destination AWS Region. Redshift integrates well with AWS services to move, transform, and load your data quickly and reliablyĬopying AWS KMS–encrypted snapshots to another AWS RegionĪfter a snapshot is copied to the destination AWS Region, it becomes active and available for restoration purposes.In columnar databases, each data block stores values of a single column for multiple rows.In relational databases, data blocks store values sequentially for each consecutive column making up the entire row.Drastically reduces the overall disk I/O requirements and reduces the amount of data you need to load from disk.When you load data into your table, rows are distributed to the node slices by the table distribution key - facilitates parallel processing. ![]() Assign a column as a distribution key when you create your table on Redshift.Slices work in parallel to compute your queries.Leader node distributes data to the slices, divides query workload to the slices.Processes a part of the workload assigned to the node.Slices are allocated a portion of the node’s memory and disk space.Compute node are partitioned into slices.Redshift Data Storage and Retrieval Patterns Lab Has dedicated CPU, memory, and attached disk storage, which are determined by the node type.Executes the compiled code and sends intermediate results back to the leader node for final aggregation.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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