Data Warehousing Tutorials

A data warehouse consists of a computer database responsible for the collection and storage of information for a specific organization. This collection of information is then used to manage information efficiently and analyze the collected data. Although data warehouses vary in overall design, majority of them are subject oriented, meaning that the stored information is connected to objects or events that occur in reality. The data provided by the data warehouse for analysis provides information on a specific subject, rather than the functions of the company and is collected from varying sources into one unit having time-variant.

Data warehousing professionals build and maintain critical warehouse infrastructure to support business and assist business executives in making smart business decisions. Warehouse ETL (Extraction, Transformation and Loading of data) is an essential part of data warehousing where the data warehousing professional populate data warehouse with information from production databases. Data warehousing professionals work with business analysts and make changes to warehouse ETL in order to maintain consistent and accurate reporting on warehouse table structures.

Comprehensive Data Warehouse tutorials are made available in this section. Data Warehouse tutorials enable you to learn all necessary aspects of data warehousing. Managing data warehouses, understanding data marts, maintaining records, issues surrounding data warehousing, benefits of data warehousing and important business principles about data warehousing are covered in detailed articles.

1. Data Warehouses Non Technical Issues

   Data Warehouses Non Technical Issues When companies get ready to implement a data warehouse few of them pay attention to the political issues that may surround it. It must be emphasized that politics can reduce the chances for success with a data warehouse project and I want to warn companies against these issues so they can be avoided. The definition

2. Understanding The Challenges of using Data Warehouses

   Understanding The Challenges of Using Data Warehouses While data warehouses can be greatly beneficial to the companies that use them there are many challenges that a company will face in their implementation and utilization. Some experts have even said that data warehouses are one of most overrated tools in the computer industry. Many companies

3. How to Evaluate The Software for your Data Warehouse

   How To Evaluate The Software For your Data Warehouse When a company evaluates software to use in conjunction with their data warehouse they goal should be purchase software which falls under the best of breed category. The first step in successfully evaluating software for your data warehouse is to do the analysis yourself. You should never rely

4. Understanding Quality Management for Data Warehouses

   Understanding Quality Management For Data Warehouses Quality is an important concept when it comes to data warehouses as well as their environment. Quality should not be defined in terms of data even though having quality data is important. When I talk about quality in this article I m talking about the big picture. I am referring to the success

5. Creating an Efficient Process for Data Warehouses

   Creating an Efficient Process for Data Warehouses Since data warehouses were first introduced during the 1990s a large number of companies have failed when attempting to implement and use them. Many of these failures are not a result of the data warehouse itself but rather the policies and the processes that the company used when trying to implement

6. How Does a Data Warehouse Differ From a Database

   How Does a Data Warehouse Differ From a Database There are a number of fundamental differences which separate a data warehouse from a database. The biggest difference between the two is that most databases place an emphasis on a single application and this application will generally be one that is based on transactions. If the data is analyzed it

7. How Data Is Stored Within a Data Warehouse

   How Data Is Stored Within a Data Warehouse The data that is stored in the data warehouse is just as important as the data warehouse itself. Having a fundamental understanding of how this data is stored can be useful in the successful implementation and utilization of a data warehouse. One term that you will want to become familiar with is OLTP or

8. How to Rate Your Data Warehouse

   How To Rate Your Data Warehouse Data warehouses have greatly evolved over the last 10 years. They now have their own transaction systems as well as their own design structures. The dimensional design has become the most prominent method of construction for data warehouses in the 21st century. Despite this it is important for companies to take the

9. What You Should Know About Building a Data Warehouse

   What You Should Know About Building a Data Warehouse As we move further into the Information Age the global competition among companies has become more fierce and many of them are relying more on data warehouses to help them make critical decisions. Before a company can use a data warehouse to achieve their own goals they must first understand

10. Fundamental Themes for Your Data Warehouse

    Fundamental Themes For Your Data Warehouse While each data warehouse may differ in their size scope or complexity there are certain fundamental themes that they all share. The three important themes that all data warehouses share are processing time drilling down and drilling up. If a system has all of these factors and it runs with a high level

11. Why Data Warehouses Can Be Useful

    Why Data Warehouses Can Be Useful A data warehouse is a tool that is constructed to give a specific view of data that an organization or company can gather during the course of carrying out various processes. Data warehouses are useful because they can allow a company to give managers and executives crucial information that will allow them to make

12. Crucial Requirements for Successful Data Warehouses

    Crucial Requirements For Successful Data Warehouses There are certain requirements that companies need to meet if they wish to use their data warehouses effectively. When data warehouses were first introduced in the 1990s many companies placed an emphasis on defining the data warehouse as a system that was distinct from a standard operational system.

13. Data Warehouse Issues

    Data Warehouse Issues There are certain issues surrounding data warehouses that companies need to be prepared for. A failure to prepare for these issues is one of the key reasons why many data warehouse projects are unsuccessful. One of the first issues companies need to confront is that they are going to spend a great deal of time loading and cleaning

14. Rules to Use with Your Data Warehouse

    Rules to Use With Your Data Warehouse Once a company has successfully implemented their data warehouse it is important for them to establish rules and regulations with which to use it. While different companies will have different rules when it comes to handling their data warehouses their are some general principles that you will want to pay attention

15. The Disadvantages of a Data Warehouse

    The Disadvantages of a Data Warehouse Many vendors will spend a great deal of time talking about the advantages of data warehouses and why companies need them if they wish to survive in the global market. While there is a degree of truth to the statements that are made by many vendors it is important for companies to realize that data warehouses

16. The Benefits of Data Warehouses

    The Benefits of Data Warehouses There are a number of reasons why many large corporations have spent large amounts of money implementing data warehouses. The most fundamental benefit of using data warehouses is that they store and present information in such a way that it allows business executives to make important decisions. Instead of looking

17. Understanding The Data Warehouse

    Understanding The Data Warehouse To understand the data warehouse it is important for you to realize that it is not a single object. It is more of a strategy or a process an integration of various support systems and programs that are knowledge based. The goal of using a data warehouse is to allow businesses and organizations to make strategic decisions.

18. Data Warehouse Business Principles

    Data Warehouse Business Principles While data warehousing is a promising technology it can become problematic for companies that fail to use core principles. In addition to having a proper design data warehouses must be properly maintained and implemented. To do this successfully there are a number of important principles that companies will

19. Historical Information About Data Warehouses

    Historical Information About Data Warehouses Data warehouses have become an important part of information technology since the 1990s and it could be said that the existence of data warehouses are a result of the Information Age. As the global competition between corporations continued to grow in the 1980s it became crucially important for large corporations

20. Data Warehousing Introduction

    Data Warehousing Introduction A data warehouse is a type of computer database that is responsible for collecting and storing the information of a particular organization. The goal of using a data warehouse is to have an efficient way of managing information and analyzing data. Despite the fact that data warehouses can be designed in a number of

21. Data Warehouses At a Glance

    Data Warehouses At a Glance Data warehouses have played an important role in information technology since the 1990s. They are tools that allow organizations to use relevant information to make important business decisions. While data warehouses were originally only used by large companies the decreasing cost of computing has allowed them to be adapted

22. Data Warehouse Overview

    Data Warehouse Overview The word data warehouse was first developed by Bill Inmon in the early 1990s. He referred to it as being a integrated collection of information that could help companies and organizations make better decisions. To be effective a data warehouse had to be integrated subject oriented non-volatile and time variant. In this

23. Data Warehouse Tools

    Data Warehouse Tools There are a number of important tools which are connected to data warehouses and one of these is data aggregation. A data warehouse can be designed to store information based on a certain level of detail. For example you can store data based on each transaction or you can store it based on a summary. These are examples of

24. Data Warehousing Methods

    Data Warehousing Methods Most organizations agree that data warehouses are a useful tool. They benefit from the ability to store and analyze data and this can allow them to make sound business decisions. It is also important for them to make sure the correct information is published and it should be easy to access by the people who are responsible

25. Data Warehouse Design Strategies

    Data Warehouse Design Strategies To build an effective data warehouse it is important for you to understand data warehouse design principles. If your data warehouse is not built correctly you can run into a number of different problems. The proper methods for building a powerful data warehouse are based on information technology tactics. First

26. How to Assess Your Data Warehouse

    How To Assess Your Data Warehouse While many large companies now use data warehouses the concept has not yet become fully mature. The principles and methods which are used to manage data warehouses have not been developed. One reason for this is the difficulty that is often involved with data warehouses. There are a number of techniques that must

27. How to Create a Data Warehouse Structure

    How To Create a Data Warehouse Structure A data warehouse structure  is comprised of elements and components which make up the database. The structure will show how components work together and may also show how database will grow over a given period of time. While every data warehouse has a structure only  few of them  are highly

28. How to Protect Your Data Warehouse

    How To Protect Your Data Warehouse While many data warehouses are used to access and analyze information some companies wish to place limits on the type of information that a worker can access. While there are advantages to doing this there are also some disadvantages as well. Generally a company will not place an emphasis on security until after

29. How to Use Data Warehouses Strategically

    It is not enough for a company to simply acquire a data warehouse. Many of them have done this and they have still not been able to use it successfully. Once you purchase or build the data warehouse you must learn how to use it strategically. There are a number of ways you can use a data warehouse in order to make important decisions. The data warehouse

30. How to Manage Current and Historical Information Within Your Data Warehouse

    How To Manage Current and Historical Information Within Your Data Warehouse In order for a company to use a data warehouse successfully it must be designed so that users are able to analyze historical and current information. There are a number of things that will result from this technique and they will have an effect on the data model design and

31. How to Properly Manage a Data Warehouse

    How To Properly Manage a Data Warehouse When you manage your data warehouse you will want to do more than simply place an emphasis on maintaining the data. You will want to maintain the data warehouse in a way which is directly related to caring for your customers. When you maintain your data warehouse it is important to place an emphasis on measurements.

32. How to Manage Meta Data Within a Data Warehouse

    How To Manage Meta Data Within a Data Warehouse Many large companies are now implementing data warehouses. They may use them to analyze specific areas such as customer service or financial issues. Many companies will create multiple goals that they will work towards by using data warehouses. While this approach has worked well for some companies

33. Federated Data Warehouse Architecture

    Federated Data Warehouse Architecture Federated data warehouse architecture is a system that works with numerous data mart systems analytical applications and operational data stores. A federated DW architecture is a system that is composed of multiple architectures. Many experts will tell you that there are a number of advantages to using a centralized

34. Maintaining Records Within a Data Warehouse

    Maintaining Records Within a Data Warehouse If you wish to be successful with your data warehouse it is important for you to make sure you use techniques that will allow you to collect historical information which is related to your company or organization. The measurements that you make must be placed within fact tables and you can then enclose

35. Advantages and Disadvantages to using a Data Warehouse

    Advantages and Disadvantages to Using a Data Warehouse There are a large number of obvious advantages involved with using a data warehouse. As the name suggests a data warehouse is a computerized warehouse in which information is stored. The organization that owns this information can analyze it in order to find historical patterns or connections

36. The Difference Between Data Mart and Data Warehouse

    The Difference Between Data Mart and Data Warehouse The biggest decision facing most IT managers today is whether or not they should construct the data mart before the data warehouse. Many vendors will tell you that data warehouses are hard to build as well as expensive. If you listen to some vendors you may be left thinking that building data