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Remove Data Lake Remove IoT Remove Online Analytical Processing
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 72
Analytics Data Warehouse Data Lake Metadata 72
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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

AUGUST 1, 2024

The data warehouse is highly business critical with minimal allowable downtime. We can determine the following are needed: An open data format ingestion architecture processing the source dataset and refining the data in the S3 data lake. Vijay Bagur is a Sr. Technical Account Manager.

Data Warehouse 92
Data Warehouse KPI Optimization Cost-Benefit 92
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