Cost-Benefit, Data Lake, Data Strategy and Online Analytical Processing

Unlocking Data Storage: The Traditional Data Warehouse vs. Cloud Data Warehouse

Sisense

NOVEMBER 12, 2020

While the architecture of traditional data warehouses and cloud data warehouses does differ, the ways in which data professionals interact with them (via SQL or SQL-like languages) is roughly the same. The primary differentiator is the data workload they serve. with a cloud data warehouse is simple.

Data Warehouse

Data Warehouse Data Lake OLAP Data-driven

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

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. This is achieved by partitioning the data.

Data Warehouse

Data Warehouse Data Lake OLAP Cost-Benefit

Data Leaders Brief

Unlocking Data Storage: The Traditional Data Warehouse vs. Cloud Data Warehouse

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

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