Data warehouse overview—part 1

  • What are the three types of data warehouses?

    A Data Warehouse is defined as a central repository where information is coming from one or more data sources.
    Three main types of Data warehouses are Enterprise Data Warehouse (EDW), Operational Data Store, and Data Mart..

How Do Data Warehouses Work? A data warehouse operates as a central repository where information arrives from various sources. The data that flows in may be structured, semi-structured, or unstructured and may come from internal applications, customer-facing applications, and external systems.
What is a Data Warehouse? A data warehouse (often abbreviated as DW or DWH) is a central data repository used for reporting and data analysis. It can connect to and integrate multiple data sources to provide a common area to generate business insights.
A data warehouse is a large collection of business data used to help an organisation make decisions. The concept of the data warehouse has existed since the 1980s, when it was developed to help transition data from merely powering operations to fuelling decision support systems that reveal business intelligence.

Categories

Data warehouse overview and concepts
Data warehouse overview ppt
Data storage over the years
Data storage overview
Data storage past present
Data warehousing person
Data warehouse performance
Data warehouse performance tuning
Data warehouse performance metrics
Data warehouse persistent staging
Data warehouse performance testing
Data warehouse personas
Data warehouse periodic snapshot fact table
Data warehouse persistent staging area
Data warehouse performance indicators
Data warehouse personal
Data storage per user salesforce
Data storage per object salesforce
Intune data warehouse permissions
Cloud data warehouse performance testing