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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. OLAP cube is designed as a solution to pre-compute totals and subtotals when the database server is idle. The OLAP cube makes reading data across multiple dimensions manageable.

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

Jet Global

Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Download Now. Data Lakes. Key Takeaways.

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Business Intelligence System: Definition, Application & Practice

FineReport

OLAP is a data analysis tool based on data warehouse environment. However, it’s possible that manager may later know that the machine has been down for a long time when the communication is delayed, especially in heavy weather, which could greatly hinder machine maintenance and could lead to the risk of collapsing the river road.

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Use the new SQL commands MERGE and QUALIFY to implement and validate change data capture in Amazon Redshift

AWS Big Data

Amazon Redshift has added many features to enhance analytical processing like ROLLUP, CUBE and GROUPING SETS , which were demonstrated in the post Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS.

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How to Get Data from Microsoft D365 BC into Power BI

Jet Global

Smaller, low-risk, incremental enhancements sound great, right? Power BI can consume Jet Reports output or the Tabular Models or OLAP cubes from Jet Analytics to provide an easy way for developers to create dashboards and analytics, which insulates them from any changes to the underlying BC database. Well, yes and no.

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Database vs. Data Warehouse: What’s the Difference?

Jet Global

The good news is, nowadays you can find business intelligence solutions with pre-built data warehouses to eliminate complexity, significantly reduce cost, and decrease risk. To manage all the integrated data inside a data warehouse, many companies build cubes (OLAP or tabular) for quick reporting and analysis. Download Now.

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What Is Embedded Analytics?

Jet Global

Application Imperative: How Next-Gen Embedded Analytics Power Data-Driven Action Download Now While traditional BI has its place, the fact that BI and business process applications have entirely separate interfaces is a big issue. Your analysis should also take into consideration the opportunity cost and project risk.