Data warehouse lifecycle ppt

Building a Data Warehouse: the Summary
Elicit goals.
Conceptualize and select the platform.
Create a business case and develop a project roadmap.
Analyze the system and design the data warehouse architecture.
Develop and stabilize the system.

What are the phases of a Data Warehouse Project?

Phase 1: A Data Warehouse project may need to utilise a Relational Data Warehouse, Semantic Layer, Data Lake, Orchestration Engine, Bulk Loading technology, Dashboarding and Ad-hoc Analytics

What is a data warehouse life-cycle?

The term data warehouse life-cycle is used to indicate the steps a data warehouse system goes through between when it is built

The following is the Life-cycle of Data Warehousing: Requirement Specification: It is the first step in the development of the Data Warehouse and is done by business analysts

What is data warehouse ELT process PowerPoint template?

The Data Warehouse ELT Process PowerPoint Template is a visual presentation of data transformation

ELT stands for Extract, Load, and Transform

It is an automation process of loading raw data into data-lake

The ELT process results in faster loading time for analyzing information

Categories