Implementing A Centralized Data Warehouse System

An active data warehousing, or ADW, is a data warehouse implementation that supports near-time or near-real-time decision making. It is featured by event-driven actions that are triggered by a continuous stream of queries that are generated by people or applications regarding an organization or company against a broad, deep granular set of enterprise data. Continental uses active data warehousing to keep track of their company’s daily progress and performance. Continental’s management team holds an operations meeting every morning to discuss how their

This data is collected and organized in order to process orders and maintain good customer service. The logical view of data would allow a knowledge worker to arrange and access information based on the needs of the business separating it from the physical view of how information is arranged and stored. The ability to do this allows for an employee to create detailed reports in order to determine information such as customer information and their order numbers and dates. This is imperative for a company like Comcast who has over 27 million customers in order to have a system to keep important data to analyze. Using a data warehouse allows them to gather from several databases and then the company can use the information to determine for example how many units of voice products are sold to create the necessary business intelligence to make future decisions and remain

One of the main functions of any business is to be able to use data to leverage a strategic competitive advantage. The use of relational databases is a necessity for contemporary organizations; however, data warehousing has become a strategic priority due to the enormous amounts of data that must be analyzed along with the varying sources from which data comes. Company gathers data by using Web analytics and operational systems, we must design a solution overview that incorporates data warehousing. The executive team needs to be clear about what data warehousing can provide the company.

What information is accessible? The data warehouse offers possibilities to define what’s offered through metadata, published information, and parameterized analytic applications. Is the data of high value? Data warehouse patrons assume reliability and value. The presentation area’s data must be correctly organized and harmless to consume. In terms of design, the presentation area would be planned for the luxury of its consumers. It must be planned based on the preferences articulated by the data warehouse diners, not the staging supervisors. Service is also serious in the data warehouse. Data must be transported, as ordered, promptly in a technique that is pleasing to the business handler or reporting/delivery application designer. Lastly, cost is a feature for the data

One crucial thing that organizations need to consider in today’s unstructured data world is to successfully integrate data warehouses. For this, the companies need to re-consider their enterprise data architecture and classify the governance strategy that can be talented through such efforts. There lies a need for data managers

A data warehouse is a large databased organized for reporting. It preserves history, integrates data from multiple sources, and is typically not updated in real time. The key components of data warehousing is the ability to access data of the operational systems, data staging area, data presentation area, and data access tools (HIMSS, 2009). The goal of the data warehouse platform is to improve the decision-making for clinical, financial, and operational purposes.

“Databases, data warehouses and marts, and BI encompasses technology that make it possible for managers to make decisions and act with clarity, speed, and confidence”, states Turban (2013).

Businesses today continue to strive and grow in the industry to keep up with the never ending changes in the business they need the tools to obtain information that can be used to make decisions for the business. The decisions to make in a business can consist of knowing what geographic region to focus on, which product lines to expand, and what markets to strengthen in the industry. To obtain the type of information that has the proper content and format that can assist with strategic decisions they turned to data warehousing. It became the new paradigm intended specifically for vital strategic information.

Databases have long been known around the office water cooler as costly, important, difficult, and multifaceted. Looking at many history timelines and the patterns of computer information technology companies; the database is getting frowned upon. The Database implementation is getting old and showing wear and tear. Every company has data, whether its how many hot dogs they are buying and whom is purchasing to what speed internet should be available in which areas. It just depends on the company’s profit and goals. Since, data is so important how is it stored and kept. Companies are using databases to store their important information that they will later make use of.

The Avalon data warehouse is a business solution that enhances Avalon with powerful database functionalities. These functionalities provide to Avalon users a practical way to view historic data, and by

Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone, Ph.D. White Paper No. Three March 27, 1997

A data warehouse (DW) can be acknowledged as one of the most complex information system modules available and it is a system that periodically retrieves and consolidates data from the sources into a dimensional or normalized data store. It is an integrated, subject-oriented, nonvolatile and a time-variant collection of data in support of management’s decisions (Inmon, 1993).

A data warehouse (DW) can be acknowledged as one of the most complex information system modules available and it is a system that periodically retrieves and consolidates data from the sources into a dimensional or normalized data store. It is an integrated, subject-oriented, nonvolatile and a time-variant collection of data in support of management’s decisions (Inmon, 1993).

The purpose of a data warehouse is to make the company’s information accessible and consistent. They need to have the information immediately available and in the same format. Warehousing is of no benefit to a company if they have to wait any length of time to receive the data. A warehouse has to be an adaptive and durable source of information for the business. The warehouse has to be flexible to meet the needed changes of a business, as the business grows; it is possible that additional information will need to be collected. The warehouse needs to have the ability to expand to meet the needs of the business. Warehousing would not be beneficial to a business if they have to seek a new warehouse source each time a change was needed; it would be costly for a business. A data warehouse must be a secure stronghold that protects the information, which is regarded as an asset to the business. In today’s society it this the utmost concerned of a business to make sure that their systems are not easily hacked by outsiders and their customer’s data is secured. Lastly, a warehouse is considered the foundation for decision making. It is the data that is retrieved from the system that is compiled for presentation to the decision makers of the company.

During ETL process, data from many sources will be extracted and integrated into data warehouse periodically. Extraction is a process to identified and retrieve all relevant data from the sources. The role of transformation is to cleansing the data and integrated different schema to defined schema in data warehouse. Meanwhile, loading is a process to physically move the data from operational system to data warehouse.