Remove 2024 Remove Data Warehouse Remove Optimization
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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

Today, Amazon Redshift is used by customers across all industries for a variety of use cases, including data warehouse migration and modernization, near real-time analytics, self-service analytics, data lake analytics, machine learning (ML), and data monetization. We have launched new RA3.large large instances.

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Capital One Offers Cost Controls for Cloud Data Warehouses

David Menninger's Analyst Perspectives

As adoption has grown, some enterprises found that the theoretical advantages of data processing in the cloud can be more challenging to deliver in practice, with constant monitoring and manual intervention required to optimize resources and realize potential savings.

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Top analytics announcements of AWS re:Invent 2024

AWS Big Data

AWS re:Invent 2024, the flagship annual conference, took place December 26, 2024, in Las Vegas, bringing together thousands of cloud enthusiasts, innovators, and industry leaders from around the globe.

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Optimize your workloads with Amazon Redshift Serverless AI-driven scaling and optimization

AWS Big Data

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. In this post, we describe how Redshift Serverless utilizes the new AI-driven scaling and optimization capabilities to address common use cases.

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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. Then, invoke the model.

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Write queries faster with Amazon Q generative SQL for Amazon Redshift

AWS Big Data

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. With over 85,000 queries executed in preview, Amazon Redshift announced the general availability in September 2024. For this post, we use Redshift Serverless.

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Implement historical record lookup and Slowly Changing Dimensions Type-2 using Apache Iceberg

AWS Big Data

Inventory management benefits from historical data for analyzing sales patterns and optimizing stock levels. In fraud detection, historical data helps identify anomalous patterns in transactions or user behaviors. In customer relationship management, it tracks changes in customer information over time.