Remove Cost-Benefit Remove OLAP Remove Reference
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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. Benefits of BI BI helps business decision-makers get the information they need to make informed decisions.

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RDF-Star: Metadata Complexity Simplified

Ontotext

Relational databases benefit from decades of tweaks and optimizations to deliver performance. This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. It provides meaning.

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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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Understanding Data Entities in Microsoft Dynamics 365

Jet Global

They can sit inside your D365 F&SCM instance or in a separate Azure space, referred to as Bring Your Own Database (BYOD), which stores the data entities in Azure but in an SQL format that is accessible to reporting. Reference (e.g., General Ledger). Tax Codes). Master (e.g., Customers). A Better Way: Self-Service Reporting.

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

AWS Big Data

This approach comes with a heavy computational cost in terms of processing and distributing the data across multiple tables while ensuring the system is ACID-compliant at all times, which can negatively impact performance and scalability. This is inefficient from both a cost and performance perspective.

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The Ultimate Guide to Data Warehouse Automation and Tools

Jet Global

Data warehouse automation refers to the process of automating each part of the data warehouse lifecycle by minimizing manual code writing and automating the repetitive, labor-intensive, time-consuming tasks normally associated with a data warehouse. The Benefits of Data Warehouse Automation. What is Data Warehouse Automation?

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The Future of AI in the Enterprise

Jet Global

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.