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Learn Data Modeling, earn certificates with paid and free online courses from Harvard, MIT, University of Michigan, Johns Hopkins and other top universities around the world. Read reviews to decide if a class is right for you.
In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.
This is an introductory course for accomplished R users to experience Revolution R Enterprise and process, visualize, and model terabyte-class data sets quickly.
Master data modeling techniques to build accurate models using entity-relationship and crow's foot notations. Learn to create conceptual, logical, and physical models with entities, attributes, relationships, and hierarchies.
Master QlikSense data modeling: create connections, cleanse data, optimize performance, and implement security. Develop skills to build powerful, insight-driven models for enterprise analytics.
A step by step guide to data modeling concepts and best practices underpinning sound database design.
Data Modeling, RPD, Physical, BMM, and Presentation layer, Logical Dimensions and Hierarchies, Measures, Analysis
Database Design | Data Model | Data Architecture | Relational Database Design | Database Normalization | Data Modeling
Database Modeling | Database Design Model | Database Normalization | Relational Database Design | Data Modeling
Gain insights into database management fundamentals, data modeling, and emerging technologies. Explore relational and NoSQL databases, SQL, big data, and their applications in data analytics and AI.
Learn how to translate aspects of the real world into the form and language of a relational database.
Learn about topics related to designing and developing a Power BI data model, which will help you prepare for the Power BI Data Analyst (PL-300) exam.
Get a hands-on guide showing how to build real-world supply chain management solutions with SAP Business Intelligence (BI) and Business Warehouse (BW).
Model, transform, and serve data for analytics and machine learning. Explore data modeling techniques, use dbt, compare architectures, and learn about distributed processing frameworks and stream processing.
Data modeling in a data warehouse like RedShift/BigQuery/Snowflake
Learn to build and deploy database-powered Next.js apps using PlanetScale and Netlify. Explore serverless databases, data modeling with Prisma, and practical implementation techniques for efficient web development.
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