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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 of efficiency, it can be truly called a data warehouse. Despite the fact that all data warehouses are comprised of these three elements, they all lay the foundation for structures that are truly powerful. In this article, I will describe the…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 better decisions. In a day and age when the decision of one executive can make or break a company, this is crucially important. Every successful business gathers and records information that is related to their customers and various transactions. Many…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. This view was shared by many companies, and the data warehouse was also seen as being a centralized copy of data that is operational. However, over the last decade, many companies have been to change their perspectives on how they see data warehouses. The 1990s were…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 data. Some experts have said that the typical data warehouse project will require companies to spend 80% of their time doing this. While the percentage may or may not be as high as 80%, one thing that you must…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 to. These principles will not only make using your data warehouse easier, but it will also allow the organization to use it much more efficiently. The very first rule of thumb is to realize that data warehouses are challenging to use. Many…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 are not a panacea, a solution to all the problems a company will face. Being able to maximize the efficiency of a data warehouse requires the company to look at it from multiple views, and this includes those…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 at an organization in terms of the departments that it comprises, data warehouses allow business executives to look at the company as a whole. Another benefit of data warehouses is their ability to handle server tasks connected to querying which is not used by most…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. The data warehouse is a tool that is designed for the long term. It takes the data from the organization as a whole, and presents it in a way that allows users to use it for a number of…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 want to follow. The first thing that a company will want to have is a consensus within organization. The organization should be guided through the process of setting up the data warehouse, and the employees and managers should be able to understand the purpose in using it. A…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 to process data and use it for the purpose of making strategic business decisions. At the most basic level, data warehouses are somewhat similar to databases. They are used to store information that a company can use for making important decisions. However, while databases are…Data Modeling Explained
Data Modeling Explained Data modeling is a computer science term that is used to describe the process of generating a data model. A data model will be generated by applying a special theory that is known as the data model theory. The data model theory will be used to create an entity that is known as a data model instance. When you go through the process of data modeling, you are essentially organizing data, as well creating a structure for it. Once the data has been organized, it will be placed in a DBS, or database management system. When data…The History of Data Modeling
The History of Data Modeling The programming of computers is an abstract realm of thought. In the ‘70s, it was thought that people would benefit from an increased use in graphic representations. On the side of process, flow charts led to data flow diagrams. Then, in the mid-70s, entity relationship modeling was created as a means of graphically representing data structures. Entity relationship models are used during the first stage of information system design in order to elucidate types of info that are needed to be stored in the database during the phase of requirements analysis. Any ontology can be…What is a Data Model
What is a Data Model? Quite simply, data models are abstract models whose purpose is to describe how data can be used and represented effectively. The term “data model” is, however, used in two different ways. The first is in talking about data model theory – that is, formal descriptions of how data can be used and structured. The second is in talking about an instance of a data model – in other words, how a particular data model theory is applied in order to make a proper data model instance for a specific application. Data modeling refers to the…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. If you don’t take the time to make measurments, your information and views will be subjective. Measuring your data warehouse will allow you to determine if you are improving as a company or organization. However, there are…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, this tactic is beginning to show a number of notable weaknesses. Both data and meta data are used with numerous data warehouses, and many of the technicians who manage these warehouses are trying to figure how to process and organize the meta data. One…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 data warehouse system. A federated data warehouse architecture will share information among a number of different systems. Critical master files will be shared, and the other system will be able to use this information. The federated data warehouse architecture will work with an ETL tool. The ETL…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 these tables with descriptions that are related to the measurments you have made. It is also important to make sure these descriptions are presented within the dimensional schemas. The dimension table that you use must define the customer, store, and products,…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 that can allow them to make important business decisions. In this article I will go over some of the advantages and disadvantages that are connected to data warehouses. One of the best advantages to using a data warehouse is that users will be able to…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 warehouses is a waste of time. However, this view is inaccurate, and any data mart vendor that tells you this are looking out for their own best interests. The problem with many data mart vendors is that they see data…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 ETL functions. As an example, a finance company may need to analyze their profits for the last three years. Looking at the data from the last three years will allow the user to view the transformations the company has…
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