Dimensional Data Warehousing With Mysql A Tutorial Ebook Reader
Dimensional Data Warehousing with MySQL: A Tutorial; MySQL in a Nutshell; Sams Teach Yourself MySQL in 10 Minutes; SQL for MySQL Developers: A Comprehensive Tutorial and Reference; Expert MySQL; PHP & MySQL For Dummies 3rd edition; Creating your MySQL Database: Practical Design Tips and Techniques; MySQL Cookbook; MySQL Database Design and Tuning. TEAM LinG - Live, Informative, Non-cost and Genuine! Oracle Database 10g Data Warehousing TEAM LinG - Live, Informati.
Training Summary
Data Warehouse is a collection of software tool that help analyze large volumes of disparate data. The goal is to derive profitable insights from the data. This course covers advance topics like Data Marts, Data Lakes, Schemas amongst others.
What should I know?
The tutorials are designed for beginners with little or no Data Warehouse Experience. Though basic understanding of Database and SQL is a plus.
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Course Syllabus
| Tutorial | What Is Data Warehousing? Types, Definition & Example |
| Tutorial | Database vs Data Warehouse: Key Differences |
| Tutorial | Data Warehouse Concepts, Architecture and Components |
| Tutorial | ETL (Extract, Transform, and Load) Process |
| Tutorial | ETL vs ELT: Must Know Differences |
| Tutorial | What is Data Modelling? Conceptual, Logical, & Physical Data Models |
| Tutorial | What is OLAP (Online Analytical Processing): Cube, Operations & Types |
| Tutorial | MOLAP (Multidimensional Online Analytical Processing) |
| Tutorial | OLTP vs OLAP: What's the Difference? |
| Tutorial | What is Dimensional Model in Data Warehouse? |
| Tutorial | Star and SnowFlake Schema in Data Warehousing |
| Tutorial | Data Mart Tutorial: What is Data Mart, Types & Example |
| Tutorial | Data Warehouse vs Data Mart: Know the Difference |
| Tutorial | What is Data Lake & It's Architecture |
| Tutorial | Data Lake vs Data Warehouse: Know the Difference |
| Tutorial | What is Business Intelligence? Definition & Example |
| Tutorial | Data Mining Tutorial: Process, Techniques, Tools & Examples |
| Tutorial | DataStage Tutorial: Beginner's Training |
| Tutorial | What is Data Reconciliation? Definition, Process, Tools |
| Tutorial | Difference between Data Mining and Data Warehouse |
| Tutorial | Difference Between Fact Table and Dimension Table |
| Tutorial | Difference between Information and Data |
| Tutorial | 20 Best ETL / Data Warehousing Tools |
| Tutorial | 15 Best Data Integration Tools |
| Tutorial | 20 Best Continuous Integration(CI) Tools |
| Tutorial | 5 Best ETL Automation Testing Tools |
| Tutorial | 24 Best Business Intelligence(BI) Tools |
| Tutorial | 25 BEST Data Mining Tools |
| Tutorial | 20 BEST Data Modeling Tools: Design your Database for FREE |
| Tutorial | 22 BEST Data Visualization Tools |
| Tutorial | Top 25 ETL Testing Interview Questions & Answers |
| Tutorial | Teradata Tutorial: Learn Basics for Beginners |
| Tutorial | Data Warehouse PDF |
- Data Warehousing Tutorial
- DWH Useful Resources
- Selected Reading
A data warehouse is constructed by integrating data from multiple heterogeneous sources. It supports analytical reporting, structured and/or ad hoc queries and decision making. This tutorial adopts a step-by-step approach to explain all the necessary concepts of data warehousing.
This tutorial will help computer science graduates to understand the basic-to-advanced concepts related to data warehousing.
Before proceeding with this tutorial, you should have an understanding of basic database concepts such as schema, ER model, structured query language, etc.