Remove Interactive Remove Online Analytical Processing Remove Snapshot
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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

The following figure shows a daily query volume snapshot (queries per day and queued queries per day, which waited a minimum of 5 seconds). Redshift Test Drive also provides additional features such as a self-hosted analysis UI and the ability to replicate external objects that a Redshift workload may interact with.

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. Unlike the old connector, the new version uses a snapshot of the DynamoDB table and doesn’t consume read capacity units of your source DynamoDB table.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes. It excels in scalability and supports a wide range of analytical use cases. What is Presto?

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