AWS Big Data
MARCH 7, 2023
This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Consumption This pillar consists of various consumption channels for enterprise analytical needs. Popular consumption entities in many organizations are queries, reports, and data science workloads.
Jet Global
AUGUST 14, 2019
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.
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Jet Global
OCTOBER 2, 2019
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.
Jet Global
OCTOBER 22, 2020
Power BI provides users with some very nice dashboarding and reporting capabilities. Unfortunately, it also introduces a mountain of complexity into the reporting process. As a security measure, Microsoft is closing off direct database access to live Microsoft Dynamics ERP data. The first is an OLAP model.
Sisense
SEPTEMBER 3, 2019
First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). For example, if you are using Redshift solely for analytics purposes, you can scale the cluster up with more nodes when this happens and resume work once it is complete.
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