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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Along with metadata management, data quality is important to increase confidence for consumers.

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Octopai Users Do More with Enhanced Data Lineage Capabilities + Complete BI Data Catalog

Octopai

Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. We’re talking end-to-end results in one screen starting from the very first source system all the way through to the different reports. We call this feature: Expand. Column-to-column lineage.

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How to Build a Performant Data Warehouse in Redshift

Sisense

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

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What Is Embedded Analytics?

Jet Global

Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. OLAP cubes Used for multi-dimensional analysis Strategic Objective When a vendor-specific connector is not available, generic connectors provide flexibility with data. How to measure the value. addresses).