13.3: Extended Resources
- Page ID
- 93733
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- Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka. Data Warehousing & BI Training: https://www.edureka.co/data-warehousi... This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial:
- What Is The Need For BI?
- What Is Data Warehousing?
- Key Terminologies Related To DWH Architecture:
- OLTP Vs OLAP b. ETL c. Data Mart d. Metadata
- DWH Architecture 5. Demo: Creating A DWH
- https://www.youtube.com/watch?v=J326LIUrZM8
- Data Warehouse Concepts | Data Warehouse Tutorial | Data Warehouse Architecture | Edureka
Data Warehousing & BI Training: https://www.edureka.co/data-warehousi...
This tutorial on data warehouse concepts will tell you everything you need to know in performing data warehousing and business intelligence. The various data warehouse concepts explained in this video are:
- What Is Data Warehousing?
- Data Warehousing Concepts:
- OLAP (On-Line Analytical Processing)
- Types Of OLAP Cubes
- Dimensions, Facts & Measures
- Data Warehouse Schema
- https://www.youtube.com/watch?v=CHYPF7jxlik
- What is a Data Warehouse - Explained with real life example | data warehouse vs database (2020)
About this video - In this video, we will understand what a data warehouse is using a very simple really life example. A data warehouse is nothing more than a storeroom of your house. Data warehouse stored all your enterprise data into a centralized location and hence called EDW (Enterprise Data Warehouse). So, in this video we will cover
- What is a Warehouse?
- Real-life example to explain datawarehouse ?
- Various data warehousing stages
- Characteristics of a datawarehouse
- https://www.youtube.com/watch?v=jmwGNhUXn_o
- Microsoft Azure Analytics - Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics. It gives you the freedom to query data on your terms, using either serverless or dedicated resources—at scale. Azure Synapse brings these worlds together with a unified experience to ingest, explore, prepare, manage, and serve data for immediate BI and machine learning needs.
- What is Data Warehouse-as-a-Service?
- Data Warehouse-as-a-Service (DWaaS) is a modern solution to address the data management challenges of today’s companies. Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes.
- Companies generate tremendous amounts of data each day, but to translate this resource into value, a company needs a place to aggregate, store, organize and analyze the data – that is a data warehouse. As one might imagine, data warehouses can be quite large and costly to build and maintain. Data Warehouse-as-a-Service addresses this challenge by providing the full-featured capabilities companies need, without much of the administrative overhead.
- A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data in support of management s decision-making process.– W. H. Inmon
- Data Warehouse: From Architecture to Implementation - Data warehousing is one of the hottest topics in the computing industry today. For business executives, it promises significant competitive advantage for their companies, while information systems managers see it as the way to overcome the traditional roadblocks to providing business information for managers and other end users. With the publication of this book comes the most comprehensive, practical guide to designing, building, and implementing a data warehouse on the market today. Barry Devlin - one of the world's leading experts on data warehousing - is also one of the first practitioners in this area. In this book, he distills the insights and experiences gained over 10 years of designing and building data warehouses.
- Building the data warehouse – Author: Stephen R. Gardner Publication: Communications of the ACM September 1998