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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

The company’s market power is based largely on its ability to promote the “stack”—that is, to position the entire suite of Microsoft products as a holistic solution to customer problems. For more powerful, multidimensional OLAP-style reporting, however, it falls short. OLAP reporting has traditionally relied on a data warehouse.

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Business Intelligence Solutions: Every Thing You Need to Know

FineReport

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. All BI software capabilities, functionalities, and features focus on data.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help. They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. ERP dashboards. Model-driven DSS.

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How Aura from Unity revolutionized their big data pipeline with Amazon Redshift Serverless

AWS Big Data

Aura from Unity (formerly known as ironSource) is the market standard for creating rich device experiences that engage and retain customers. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. Data Lakes.