KIMBALL vs INMON A presentation by W H Inmon.

Slides:

Advertisements

Similar presentations

Cognos 8 Training Session

Advertisements

The United States of America U.S.A.. The United States are in the North America, between Canada and Mexico.

A presentation by W H Inmon KIMBALL vs INMON. the essence of the difference between Inmon and Kimball Inmon – there needs to be a single version of the.

U.S. Department of State  Bureau of Consular Affairs Passport Fraud and Vital Records Karen Pallas Fraud Program Manager Seattle Passport Agency.

James Serra – Data Warehouse/BI/MDM Architect

Data Warehouse IMS5024 – presented by Eder Tsang.

Data Warehouse Toolkit Introduction. Data Warehouse Bill Inmon's paradigm: Data warehouse is one part of the overall business intelligence system. An.

Data Warehousing A QUICK SUMMARY Sushanthan Premanath & Indrajith Premanath CSCI 4707.

Pacific Tour Enterprises The South Pacific Islands.

The South Pacific Islands. Our Best Tours Palau Islands Solomon Islands Samoa Islands Society Islands Indonesia Philippines Over 100 different islands.

The United States of America. San Francisco, California.

Data Warehouse Architecture. Inmon’s Corporate Information Factory The enterprise data warehouse is not intended to be queried directly by analytic applications,

6 September 2013 Please do now: Which of the physical regions of the United States would you want to live in and why? 4 full lines. Today: I’m checking.

Welcome to David’s Class Unit1 A Land of Diversity.

Marakas: Decision Support Systems, 2nd Edition © 2003, Prentice-Hall Chapter Chapter 10: The Data Warehouse Decision Support Systems in the 21 st.

World Population How many people live on the earth. Where do they live. Why do they move. What does the future look like.

I can add multi-digit numbers using an open number line. Graphics:

US Geography and Map Skills Unit I. Vocabulary Relative Location Absolute Location Map Projection Hemisphere Scale Latitude Longitude Topography Physical.

1 Reviewing Data Warehouse Basics. Lessons 1.Reviewing Data Warehouse Basics 2.Defining the Business and Logical Models 3.Creating the Dimensional Model.

CISB594 – Business Intelligence

8 TH GRADE PREVIEW UNIT Where in the world is Georgia (Sandiego)?

What city is this? San Francisco Name the state with the star.

June 08, 2011 How to design a DATA WAREHOUSE Linh Nguyen (Elly)

Two-Tier DW Architecture. Three-Tier DW Architecture.

Pacific Tours Presents The South Pacific Islands.

Journey to the South Pacific Islands.  Palau Islands  Solomon Islands  Samoa Islands  Society Islands  Indonesia  Philippines Over 100 different.

The South Pacific Islands for  Palau Islands  Solomon Islands  Samoa Islands  Society Islands  Indonesia  Philippines Over 100 different islands.

U.S. Geography Where to Travel? ICAP Presentation, February 12.

Chapter 11 Oracle Warehouse Builder Data Warehousing Lab. 윤 혜 정.

Unit 1. United States of America is composed of a federal district - Washington DC and 50 states. All the states except for Hawaii islands are situated.

DO YOU TRUST YOUR DATA? KNOW THE ANSWER WITH EIM! Jose Hernandez Director, Business Intelligence Dunn Solutions Group.

Data Warehouse/Data Mart It’s all about the data.

221 Mile Route from Charleston to Greer South Carolina Inland Port.

The South Pacific Islands for  Palau Islands  Solomon Islands  Samoa Islands  Society Islands  Indonesia  Philippines Over 100 different islands.

THE USA The USA is in North America (between Canada in the North and Mexico in the South) It’s a very big country: there are four different time zones.

OPPORTUNITIES SURVEY NORTH AMERICA FROM/TO NICE AIRPORT

2c: States grouped by region

Unit 1 A land of diversity California

U.S.A A work of Olga Stoura and Miltou Stasinopoulou.

AF2 - mapping North America AF3 – Describing features of a US state

What do you know about the USA?

Unit A Land of Diversity

THE UNITED STATES OF AMERICA

Meteorologist Activity

Of the country the United States

National Safety Council

U.S. REGIONS OPEN-NOTES TEST TOMORROW (BASED ON NOTES #s 1 and 2)

Global Cities Odd One Out

Manajemen Data (2) PTI Pertemuan 6.

Pacific Tour Enterprises

Pacific Tour Enterprises

The South Pacific Islands for 2011

Domestic Flights booking to New York, Las Vegas, Chicago, Dallas & California in USA.

Which Cities should host the 2026 World Cup?

U.S. REGIONS OPEN-NOTES TEST TOMORROW (BASED ON NOTES #s 1 and 2)

Unit 3 Lesson 5: Regional Cities

Meteorologist Activity

Data Warehouse Architecture

What major features make up the U. S. ’s Midwest and West Regions

Warehouse Architecture

Data Warehouse Architecture

Captain America’s To Do List

From one great team to another…

Meteorologist Activity

After mapping What physical features hindered or slowed down the diffusion of people Westward? 2. What role did water play in the formation of.

Technical Architecture

Geographical position of the USA

Albuquerque Geography Year 4, Unit 1 © 2019 Rising Stars UK Ltd.

Presentation transcript:

KIMBALL vs INMON A presentation by W H Inmon

relational based data warehouse (Inmon) star schema (Kimball)

relational based data warehouse (Inmon) star schema (Kimball) good for fast reports not a short term proposition good for a system of record

as an end user I am confused… there are 17 data marts that have information and I don’t know which one to go to. And they all have different information

every time there is a new requirement I have to start from scratch. And these darn data marts are hard to maintain. I have to build a new one every time there is a change in requirements

we have had data marts for five years now. We have 250 of them and only 10 of them are actually being used today……

I’ve got these auditors coming in and I don’t have any data that I trust that I can show them……

with Kimball, the star schema is the architecture with Inmon, the relational foundation is only the start of the architecture

the Inmon approach is a FULL architecture leading to DW 2.0. And DW 2.0 is a true full scale architecture

DW 2.0 supports some really important architectural features – - the life cycle of data within the data warehouse - the accommodation for very large amounts of data - the recognition that cost is the ultimate limiting factor for a data warehouse - unstructured data as an essential component - metadata as an essential component ask Kimball how he supports unstructured data? ask Kimball how he supports metadata? ask Kimball how he supports really large amounts of data? ask Kimball how he supports archival data?

Kimball only addresses one small part Inmon Florida South America NYC Chicago Hawaii Sao Paolo Mexico Canada Bermuda Denver Calgary Los Angeles Gold Coast Florida Miami San Francisco Seattle Kimball only addresses one small part of architecture. Inmon addresses a much more comprehensive picture