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Introduction to Data Warehousing

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Elvis Pereymer will introduce the key concepts of implementing a Data Warehouse, with a focus on data access for users like business analysts, product managers and other decision makers who need the insight that can be obtained from such a system.
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PRESENTED BY: ELVIS PEREYMER 06/07/2022 Introduction to Data Warehousing
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Page 1: Introduction to Data Warehousing

PRESENTED BY: ELVIS PEREYMER

04/10/2023

Introduction to Data Warehousing

Page 2: Introduction to Data Warehousing

Data Warehousing Presentation Topics

04/10/2023

What is a Data Warehouse? Why do I need a Data Warehouse?

What are its goals? What are its objectives?

Where does “Business Intelligence” fit here ? The software products that present the data warehouse data to

users are sometimes called Business Intelligence Tools. Demo of “Pentaho” – an Open Source Business Intelligence tool

connected to an already built Data warehouse. Q & A

Page 3: Introduction to Data Warehousing

Many names for the same thing

04/10/2023

Page 4: Introduction to Data Warehousing

Many names for the same thing

04/10/2023

• Decision Support System (DSS)

Page 5: Introduction to Data Warehousing

Many names for the same thing

04/10/2023

• Decision Support System (DSS)• Executive Information System

Page 6: Introduction to Data Warehousing

Many names for the same thing

04/10/2023

• Decision Support System (DSS)• Executive Information System• Management Information System

Page 7: Introduction to Data Warehousing

Many names for the same thing

04/10/2023

• Decision Support System (DSS)• Executive Information System• Management Information System• Analytics Application

Page 8: Introduction to Data Warehousing

Many names for the same thing

04/10/2023

• Decision Support System (DSS)• Executive Information System• Management Information System• Analytics Application• Reporting System

Page 9: Introduction to Data Warehousing

Many names for the same thing

04/10/2023

• Decision Support System (DSS)• Executive Information System• Management Information System• Analytics Application• Reporting System

a system for helping companies get the information they want, when they want it, and how they want it - from one single source.

Page 10: Introduction to Data Warehousing

Purpose of a Data warehouse

Establish the foundation for Decision Support Decision process of an organization will involve analysis, data

mining, forecasting, decision modeling etc. By having a common point, which can provide consistent, quality data with high response time provides the core enabler for making fast and informed decisions.

04/10/2023

Page 11: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Current way of getting data or reports is not ideal

04/10/2023

Page 12: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Current way of getting data or reports is not ideal

Dependent on a resource such as a developer

04/10/2023

Page 13: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Current way of getting data or reports is not ideal

Dependent on a resource such as a developer someone who knows your companies underlying database

structure and is familiar with a query language such as SQL used to retrieve data.

04/10/2023

Page 14: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Current way of getting data or reports is not ideal

Dependent on a resource such as a developer someone who knows your companies underlying database

structure and is familiar with a query language such as SQL used to retrieve data.

Limited to Standard Reports built thereby limiting you do ad hoc reporting

04/10/2023

Page 15: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Current way of getting data or reports is not ideal

Dependent on a resource such as a developer someone who knows your companies underlying database

structure and is familiar with a query language such as SQL used to retrieve data.

Limited to Standard Reports built thereby limiting you do ad hoc reporting

Performance reasons limit you to running reports during “off peak” hours

04/10/2023

Page 16: Introduction to Data Warehousing

Why do I need a Data Warehouse?

04/10/2023

Multiple source systems collecting similar or related information.

CRM, ERP, Operational Databases, Spreadsheets Operational Databases may be archived and considered to be a

separate source system

Page 17: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Summary of existing Reporting problems

04/10/2023

Page 18: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Summary of existing Reporting problems

Difficulty in accessing your data.

04/10/2023

Page 19: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Summary of existing Reporting problems

Difficulty in accessing your data. Unable to perform ad-hoc reporting

04/10/2023

Page 20: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Summary of existing Reporting problems

Difficulty in accessing your data. Unable to perform ad-hoc reporting Not aware of “All” the data that is tracked in your systems.

04/10/2023

Page 21: Introduction to Data Warehousing

Why do I need a Data Warehouse?

Summary of existing Reporting problems

Difficulty in accessing your data. Unable to perform ad-hoc reporting Not aware of “All” the data that is tracked in your systems. Performance issues. Data is not optimized for reporting.

04/10/2023

Page 22: Introduction to Data Warehousing

The Value of the Data Warehouse

04/10/2023

Integrated Multiple Source Systems Common Terminology Consistently Updated

Page 23: Introduction to Data Warehousing

The Value of the Data Warehouse

04/10/2023

Time Variant Data in the Warehouse is associated with a point in time Essential for time-series historical analysis and forecasting

Page 24: Introduction to Data Warehousing

The Value of the Data Warehouse

04/10/2023

Non-volatile Once loaded, data does not change. The answer to a given historical question will not change based on

the time the question is posed to the warehouse.

Page 25: Introduction to Data Warehousing

The Value of the Data Warehouse

04/10/2023

Strategic Analysis Historical analysis Forecasting analysis Evaluation of performance to corporate strategic goals Discovery of revenue opportunities Cost reduction

Page 26: Introduction to Data Warehousing

The Value of the Data Warehouse

04/10/2023

The Data Warehouse Defined: Integrated Time Variant Non-volatile Strategic Analysis Tool (Business Intelligence)

Page 27: Introduction to Data Warehousing

Demo Time!

04/10/2023

Sample Data warehouse put together using Pentaho (an Open Source Business Intelligence solution)

Page 28: Introduction to Data Warehousing

I Want One!

04/10/2023

Plan! Plan! Plan!Resources

Experienced DW Architect Programmers Familiar with Legacy Systems Users Familiar with Legacy Data

Thank you,Elvis [email protected](917)754-4638

Page 29: Introduction to Data Warehousing

I Want One!

04/10/2023

How long will it take?On going project. Depends on the amount of data sources you have and

the resources that understand the data sources. Suggestion is to start with the Agile methodology and

build “data marts” per subject area.

Page 30: Introduction to Data Warehousing

I Want One!

04/10/2023

End User Presentation Tools

Business Objects Cognos (Powerplay, Impromptu) Microsoft Business Intelligence Suite Pentaho BI Solution – Open Source Many, many others!

Page 31: Introduction to Data Warehousing

Summary

04/10/2023

DW are used for Decision support Analysis Not the same as your operational systems Designed badly, they are not useful


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