Dashboards Data Warehouse OLAP Reference 
AWS Big Data
MARCH 7, 2023
Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.
Jet Global
SEPTEMBER 4, 2020
Its solution was to replicate data from the production database, using data entities, into a traditional relational database. Microsoft referred to this approach as “bring your own database” (BYOD). For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required.
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FineReport
AUGUST 14, 2020
For open-source reporting tools, you can refer to this article? For popular reporting tools on the market, you can refer to: Best Reporting Tools List in 2020 and How to Choose. Based on the process from data to knowledge, a standard reporting system’s functional architecture is shown below.
Jet Global
OCTOBER 7, 2020
For anyone that needs to develop custom reports and dashboards, it all begins with understanding data entities. What Are Data Entities? Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities.
Jet Global
JUNE 5, 2019
Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. If data is the fuel driving opportunities for optimization, data mining is the engine—converting that raw fuel into forward motion for your business.
Jet Global
AUGUST 14, 2019
Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted?
Jet Global
DECEMBER 3, 2021
The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As technology has evolved, BI has grown steadily more powerful, affordable, and accessible.
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