Database Keys: The Complete Guide (Surrogate, Natural, Composite & More)
Natural key, surrogate key, composite key. What do these terms mean? And why should you know what they are? In this article, you’ll learn what these terms are, so you can communicate better with ot…
Chapter 11 Data visualization principles | Introduction to Data Science
This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown.
Analysis Services What is the Difference between Tabular and Multidimensional Models
In Microsoft Analysis Services there are two model types: the Multidimensional and the Tabular. In this video, we'll explain what the difference is and which should you choose?
Download a free trial of our On-Demand Training Platform: http://pragmaticworks.com/Training/On-Demand-Training?hsCtaTracking=6bdedee8-b89b-420b-883d-37d9e6d...
Diagrams and explanations showing the difference between non-identifying (dashed line) and identifying (solid line) relationships in relational database design
Data Modeling: Conceptual vs Logical vs Physical Data Model
Data modeling is a technique to document a software system using entity relationship diagrams (ER Diagram) which is a representation of the data structures in a table for a company’s database. It is a very powerful expression of the company’s business requirements. Data models are used for many purposes, from high-level conceptual models, logical to …
Competencies and Proficiency Levels per Knowledge Area
Definitions of skill and knowledge levels used.
Practical Knowledge or General Awareness:
Limited practical experience. Expertise is developed in a safe, structured environment (small, less complex efforts) where guidance is both sought and provided.
Basic Knowledge: Has a fundamental awareness of basic skills and knowledge involved in the work.
Understands: Recognizes the key elements of the work and why they are important. However, not expected to have the experience nor skill to execute.
Follows Rules: Adheres to prescribed ways to complete the work but needs rules and guidelines to successfully execute.
The competency elements are grouped into six Knowledge Areas:
Five of the knowledge areas are practitioner-based domains as discussed in IIBA’s Introduction to Business Data Analytics: A Practitioners View; and one is an organizational-based domain from IIBA’s Introduction to Business Data Analytics: An Organizational View.
I have a problem with second normal form (2NF) and I have been unable to solve it by using Google. It is making me crazy because I am a teacher and I don't want to teach wrong stuff to my students....
Database Normalization – Normal Forms 1nf 2nf 3nf Table Examples
In relational databases, especially large ones, you need to arrange entries so that other maintainers and administrators can read them and work on them. This is why database normalization is important. In simple words, database normalization entails organizing a database into several tables in order to reduce redundancy. You can
