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

Jet Global

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

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

CIO Business Intelligence

These systems include file drawer and management reporting systems, executive information systems, and geographic information systems (GIS). They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. TIBCO Spotfire.

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Prevent Customer Churn: Customer Retention in the Transition to Microsoft D365 F&SCM

Jet Global

In the world of ERP software, switching costs include a number of hard costs like license fees, system analysis and design, customization, third-party add-ons, report design, and more, but many of those tasks also consume valuable staff time and management attention. Reporting as a Key Cost-driver.

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Master Your Power BI Environment with Tabular Models

Jet Global

Power BI provides users with some very nice dashboarding and reporting capabilities. Unfortunately, it also introduces a mountain of complexity into the reporting process. OLAP Cubes vs. Tabular Models. It updates a dedicated database against which you can perform reporting and analytics. The first is an OLAP model.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

Analyze the assessment report and address the action items. For Connection name , enter a name (for example, olap-azure-synapse ). Choose Test connection to verify that AWS SCT can connect to your source Azure Synapse project. Choose Test connection to verify that AWS SCT can connect to your target Redshift workgroup.

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The Ultimate Guide to Data Warehouse Automation and Tools

Jet Global

Whether a business is building a new data warehouse and set of OLAP cubes or revamping an existing one, the project requires developers to write a massive amount of SQL code. The process of writing and testing this code is extremely time time-consuming, labor-intensive, and error-prone. Reclaim Developer Hours.

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Data Model Development Using Jinja

Sisense

A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools.