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In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest. When you issue a query, it goes to the Amazon Redshift SQL endpoint, which generates and optimizes a query plan.
As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift determines what data is local and what is in Amazon S3, generates a plan to minimize the amount of Amazon S3 data that needs to be read, requests Redshift Spectrum workers out of a shared resource pool to read and process data from Amazon S3.
You can optionally manage the external database definition from the Amazon Athena Catalog as well.
Visit our Getting Started page to see how to try Amazon Redshift for free.
Redshift Spectrum scales out to thousands of instances if needed, so queries run quickly regardless of data size.
And, you can use the exact same SQL for Amazon S3 data as you do for your Amazon Redshift queries today and connect to the same Amazon Redshift endpoint using your same BI tools.
Queries are distributed and parallelized across multiple physical resources.
You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call.
Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. Amazon Redshift Spectrum is a feature of Amazon Redshift that enables you to run queries against exabytes of unstructured data in Amazon S3, with no loading or ETL required.
Create an AWS account and sign in to the Amazon Redshift Console 2. Large for Node Type Also, see how to ingest and report on your data for free on our Partner Free Trials page. Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.
No loading or transformation is required, and you can use open data formats, including Avro, CSV, Grok, Ion, JSON, ORC, Parquet, RCFile, Regex Ser De, Sequence File, Text File, and TSV.
For Redshift Spectrum, Amazon Redshift manages all the computing infrastructure, load balancing, planning, scheduling and execution of your queries on data stored in Amazon S3.
Q: How does the performance of Amazon Redshift compare to most traditional databases for data warehousing and analytics?
Q: How do I create an Amazon Redshift data warehouse cluster?