Information Warehouse is an assortment of programming instrument that assist with examining huge volumes of unique information. The objective is to get beneficial experiences from the information. This eBook covers advance points like Data Marts, Data Lakes, Schemas among others.
Inside this Data Warehouse PDF Book
What Is Data Warehousing? Types, Definition and Example (First Chapter FREE)
Data set versus Data Warehouse: Key Differences
Information Warehouse Architecture, Concepts and Components
ETL (Extract, Transform, and Load) Process
ETL versus ELT: Must Know Differences
Area 2-Advanced Stuff
What is Data Modeling? Calculated, Logical, and Physical Data Models
What is OLAP (Online Analytical Processing): Cube, Operations and Types
What is MOLAP? Engineering, Advantages, Example, Tools
OLTP versus OLAP: What's the Difference?
What is Dimensional Model in Data Warehouse?
Star and SnowFlake Schema in Data Warehousing
Information Mart Tutorial: What is Data Mart, Types and Example
Information Warehouse versus Data Mart: Know the Difference
What is Data Lake? It's Architecture
Information Lake versus Data Warehouse: What's the Difference?
What is Business Intelligence? Definition and Example
Information Mining Tutorial: Process, Techniques, Tools, EXAMPLES
DataStage Tutorial: Beginner's Training
Area 3-Must Know!
Contrast between Data Mining and Data Warehouse
Contrast Between Fact Table and Dimension Table
Contrast among Information and Data
Teradata Tutorial: Learn Basics for Beginners
|What is Data Lake
|Data Lake vs Data Warehouse
|What is Business Intelligence
|Data Mining Tutorial