Remove Cost-Benefit Remove Interactive Remove OLAP Remove Snapshot
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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

This approach comes with a heavy computational cost in terms of processing and distributing the data across multiple tables while ensuring the system is ACID-compliant at all times, which can negatively impact performance and scalability. This is inefficient from both a cost and performance perspective.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads. Amazon Redshift is simple to interact with. Amazon Redshift provides comprehensive data security at no extra cost. For Connection name , enter a name (for example, olap-azure-synapse ).

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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. The cost and constraints of traditional analytics soon reached their limit, forcing Uber to look elsewhere for a solution.

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