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1. docs.aws.amazon.com › redshift › latestGetting started with Amazon Redshift Spectrum

   docs.aws.amazon.com › redshift › latest

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   In this tutorial, you learn how to use Amazon Redshift Spectrum to query data directly from files on Amazon S3. If you already have a cluster and a SQL client, you can complete this tutorial with minimal setup.

2. aws.amazon.com › blogs › big-dataBest Practices for Amazon Redshift Spectrum

   aws.amazon.com › blogs › big-data

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   • Set Up The Test Environment
   • Best Practices For Storage
   • Best Practices For Choosing Compute Capacity
   • Best Practices For When to Use Redshift Spectrum
   • Best Practices For Query Cost Control
   • Conclusion

   To perform tests to validate the best practices we outline in this post, you can use any dataset. Amazon Redshift Spectrum supports many common data formats: text, Parquet, ORC, JSON, Avro, and more. You can query data in its original format or convert data to a more efficient one based on data access pattern, storage requirement, and so on. For ex...

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   For storage optimization considerations, think about reducing the I/O workload at every step. That tends toward a columnar-based file format, using compression to fit more records into each storage block. The file formats supported in Amazon Redshift Spectrum include CSV, TSV, Parquet, ORC, JSON, Amazon ION, Avro, RegExSerDe, Grok, RCFile, and Sequ...

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   This section offers some recommendations for choosing the right compute capacity to get optimal performance in Amazon Redshift Spectrum.

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   With Amazon Redshift Spectrum, you can run Amazon Redshift queries against data stored in an Amazon S3 data lake without having to load data into Amazon Redshift at all. Doing this not only reduces the time to insight, but also reduces the data staleness. Under some circumstances, Amazon Redshift Spectrum can be a higher performing option.

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   As mentioned earlier in this post, partition your data wherever possible, use columnar formats like Parquet and ORC, and compress your data. By doing so, you not only improve query performance, but also reduce the query cost by reducing the amount of data your Amazon Redshift Spectrum queries scan. You can also help control your query costs with th...

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   In this post, we provide some important best practices to improve the performance of Amazon Redshift Spectrum. Because each use case is unique, you should evaluate how you can apply these recommendations to your specific situations. We want to acknowledge our fellow AWS colleagues Bob Strahan, Abhishek Sinha, Maor Kleider, Jenny Chen, Martin Grund,...

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3. Videos

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4. www.spectrum.com › cable-tv › channel-lineupSpectrum Channel Lineup & Channel Guide

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   Spectrum TV ® Channel Lineup. Stay entertained with the best in cable TV, including live sports, premium and international channels as well as Pay-Per-View events. Explore the channel lineup available in your area or shop TV Select Signature and Mi Plan Latino plans.

5. docs.aws.amazon.com › redshift › latestQuerying external data using Amazon Redshift Spectrum

   docs.aws.amazon.com › redshift › latest

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   Using Amazon Redshift Spectrum, you can efficiently query and retrieve structured and semistructured data from files in Amazon S3 without having to load the data into Amazon Redshift tables. Redshift Spectrum queries employ massive parallelism to run very fast against large datasets.

6. aws.amazon.com › blogs › big-dataAmazon Redshift Spectrum Extends Data Warehousing Out to ...

   aws.amazon.com › blogs › big-data

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   Jul 21, 2017 · With Redshift Spectrum, Amazon Redshift customers can easily query their data in Amazon S3. Like Amazon EMR, you get the benefits of open data formats and inexpensive storage, and you can scale out to thousands of nodes to pull data, filter, project, aggregate, group, and sort.

7. docs.aws.amazon.com › redshift › latestTutorials for Amazon Redshift - Amazon Redshift

   docs.aws.amazon.com › redshift › latest

   Jan 19, 2024 · Follow the steps in these tutorials to learn about Amazon Redshift features: Tutorial: Loading data from Amazon S3. Tutorial: Querying nested data with Amazon Redshift Spectrum. Tutorial: Configuring manual workload management (WLM) queues. Tutorial: Using spatial SQL functions with Amazon Redshift. Tutorials for Amazon Redshift ML.

8. People also ask

   How does Amazon Redshift spectrum work?

   • With Amazon Redshift Spectrum, you pay only for the queries you run against the data that you actually scan. We encourage you to leverage file partitioning, columnar data formats, and data compression to significantly minimize the amount of data scanned in Amazon S3.

   Amazon Redshift Spectrum Extends Data Warehousing Out to Exabytes…

   aws.amazon.com/blogs/big-data/amazon-redshift-spectrum-extends-data-warehousing-out-to-exabytes-no-loading-required/

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   Is redshift spectrum serverless?

   • Like Amazon Athena, Redshift Spectrum is serverless and there’s nothing to provision or manage. You just pay for the resources you consume for the duration of your Redshift Spectrum query. Like Amazon Redshift itself, you get the benefits of a sophisticated query optimizer, fast access to data on local disks, and standard SQL.

   Amazon Redshift Spectrum Extends Data Warehousing Out to Exabytes…

   aws.amazon.com/blogs/big-data/amazon-redshift-spectrum-extends-data-warehousing-out-to-exabytes-no-loading-required/

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   What is redshift spectrum?

   • Redshift Spectrum ends the “tyranny of OR,” enabling you to store your data where you want, in the format you want, and have it available for fast processing using standard SQL when you need it, now and in the future. Maor Kleider is a Senior Product Manager for Amazon Redshift, a fast, simple and cost-effective data warehouse.

   Amazon Redshift Spectrum Extends Data Warehousing Out to Exabytes…

   aws.amazon.com/blogs/big-data/amazon-redshift-spectrum-extends-data-warehousing-out-to-exabytes-no-loading-required/

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   How do I learn about Amazon Redshift features?

   • Follow the steps in these tutorials to learn about Amazon Redshift features: Tutorial: Loading data from Amazon S3 Tutorial: Querying nested data with Amazon Redshift Spectrum Tutorial: Configuring manual workload management (WLM) queues Tutorial: Using spatial SQL functions with Amazon Redshift

   Tutorials for Amazon Redshift - Amazon Redshift

   docs.aws.amazon.com/redshift/latest/dg/tutorials-redshift.html

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9. www.secoda.co › learn › how-does-amazon-redshiftHow does Amazon Redshift Spectrum work? | Secoda

   www.secoda.co › learn › how-does-amazon-redshift

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   Amazon Redshift Spectrum is a feature of Amazon Redshift that enables users to directly query data stored in Amazon S3. It supports nested data types and allows users to run queries against their data lake in Amazon S3, eliminating the need for data loading or ETL processes.