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Articles tagged with Amazon Redshift
Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.
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52 results
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published 23 days ago0 votes97 views
A Lambda function that forwards Redshift data to ServiceNow by creating incidents via REST API.
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published 23 days ago0 votes130 views
This post discusses how customers can ingest data from delta lake into Amazon Redshift using AWS Glue in both full load and change data capture format.
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published 2 months ago0 votes190 views
Move beyond Find/Replace: Learn how to use parameters to dynamically update and rerun your Redshift queries
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published 2 months ago1 votes419 views
This article provides a guide on implementing Dynamic Data Masking (DDM) in conjunction with Amazon Redshift Data Sharing.
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published 3 months ago1 votes273 views
This is created because the official documentation lacks some of the details for cross account and encrypted actions which are supported by Zero-ETL integration. https://docs.aws.amazon.com/amazondyna...
EXPERT
published 3 months ago2 votes819 views
Since lot of users have private datasources in QuickSight, migrating private datasources often need setting up VPC Connection in the target accounts. Hence, this articles covers the steps involved wit...
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published 4 months ago0 votes450 views
Amazon Redshift provides two deployment modes, cluster or workgroup. This article will walk through examples for each and help you choose the right Redshift deployment method, and the right way to siz...
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published 4 months ago0 votes181 views
This technical blog demonstrates how to implement CloudWatch custom metrics in AWS Analytics services, helping data engineers create effective monitoring systems for data pipeline health, with practic...
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published 4 months ago0 votes79 views
Migrating and handling spatial buffer transformations between Azure SQL and Amazon Redshift
EXPERT
published 4 months ago0 votes298 views
This configuration is particularly useful with multi-region deployments that need to maintain secure and efficient access to their Redshift data warehouses
EXPERT
published 4 months ago0 votes404 views
In today's data-driven landscape, AWS offers multiple ways to share and govern data through Redshift. This article compares three key solutions: Amazon Redshift Data Sharing, Amazon DataZone and Amazo...
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published 5 months ago0 votes250 views
When migrating data from Amazon Redshift to DynamoDB using AWS Glue (Spark), handling SUPER data types needs careful consideration. By default, Spark interprets Redshift's SUPER data types (including ...