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Becoming a Prized Data Warehouse and Data Integration Tester

Dataversity

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Click to learn more about author Wayne Yaddow.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

Data Mining Techniques and Data Visualization. Data Mining is an important research process. Anyone can become a Data Scientist that use Data Mining. Everything you need is freely available: online courses, books, competitions for practice. Practical experience. Including yourself.

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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.

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Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Additional capabilities.

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OLTP and OLAP: Two Sides of the Same Data Coin?

Astera

These transactions typically involve inserting, updating, or deleting small amounts of data. Normalized data structure: OLTP databases have a normalized data structure. This means that they use a data model that minimizes redundancy and ensures data consistency. through a built-in OData service.

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Three Things Finance and Accounting Teams Should Know about Power BI and Risk

Insight Software

Will you use SQL Server Analysis Services for data modeling, or will you do this within the Power BI desktop tool? Should you use the Direct Query feature, or import data into Power BI? For more information about the risks of Power BI, download our FREE e-book, 5 Unknown Facts about Power BI That Create Project Risk.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

To help you with your studies, you can start here with a list of the best SQL books that will help you take your skills to the next level. Data Analysis : Most BI skills and intelligence analyst-related skills are about using data to make better decisions. Business Intelligence Job Roles.