ITDA - Western Technical College

Best practices when working with Power Query

An article on how to use parameters in Power Query

In Power Query, you can create a table that contains an aggregate value for each unique value in a column. Power Query groups each unique value, performs an aggregate calculation for each value, and pivots the column into a new table.

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…

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.

This article covers the basics of OLAP Cubes implementation using the SQL Server Analysis Service.

In this article, we will learn how to create your first cube from scratch using SQL Server Analysis Services (SSAS)

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?

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This video explains what happens under the hood when indexing a database and explains why it can lead to performance benefits.

Confused about ERD Shapes? Check out this guide for a comprehensive look at all ER diagram symbols and notation.

A Practical Introduction to Databases, an open educational resource textbook.

Diagrams and explanations showing the difference between non-identifying (dashed line) and identifying (solid line) relationships in relational database design

I haven't been able to fully grasp the differences. Can you describe both concepts and use real world examples?

Start by learning the meaning of the relational database. A relational database is a type of database that stores and provides access to…

An Entity-Relationship Diagram (ERD) is a visual layout of the structure of a database. It shows the relationships between different…

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 …

IIBA® endorsed course. Learn how to apply analysis skills on data projects and prepare for an IIBA®-CBDA certification

Prepare yourself for the PMI PBA certification exam to be certified as a Profesional in Business Analysis.

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.

Orange Data Mining Toolbox