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Data Model Development Using Jinja

Sisense

Every aspect of analytics is powered by a data model. 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 modeling organizes and transforms data. DBT: Data Build Tool.

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Data Modeling 301 for the cloud: data lake and NoSQL data modeling and design

erwin

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. As with the part 1 and part 2 of this data modeling blog series, the cloud is not nirvana. Data modeling basics. Data Modeling. This blog is based upon a recent webcast that can be viewed here.

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

CIO Business Intelligence

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Model-driven DSS.

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Reporting is used in almost every company

BI-Survey

Model-based analysis like OLAP analysis on cubes or ad hoc analysis based on semantic models provides greater flexibility for end users to pull information out of their information landscape. Interactive Analytical Storytelling Report. Request the free report now × Interactive Storytelling Report.

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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Data modeling for the cloud: good database design means “right size” and savings. Now to cover some data modeling basics that applies no matter whether on-premises or in the cloud. Data Modeling. Business Focus.

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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. In addition to static data display, interactivity enables data to tell a story.

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Top 10 Free and Open Source BI Tools in 2020

FineReport

It also can be used to create a predictive model for various business domains and kinds of models, such as classification, regression, and clustering. . When requiring high customization and sophisticated models, the speed is needed. But KNIME is less flexible and slow. . From Google. Pentaho Community Edition .

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