Database Data Warehouse Design
Our company, Data Analytic Limited, specializes in collecting and analyzing data for various organizations. Over the years, we have assisted various companies to turn raw data into valuable information that assists the companies in making effective decision profitable in the short and long run. Our research and data analytics are geared towards giving extra edge to various companies. Our services include processing and analyzing terabytes of data to provide customer meaningful information for business decision and enhance competitive market advantages. Recent growth of our company necessitates the needs to design and develop data warehouse that will accommodate large volume of customer data.
Objective of this project is to design and develop the data warehouse for our company.
Importance of Data Warehousing for our Organization
Comprehensive portfolios of our business include Business, Market, and Financial research, Data processing services and Domain based analytics. While the relational database that our company is currently using provides a necessity for our current needs, however, data warehousing has become a strategy priority for our organization because of enormous amount of data that our company is required to analyze, which comes from various sources. If we continue using relational database to store our data, we will need to delete certain volume of data to make room for new data, and doing so, we will not be able to create historical data to assist our clients to make analytical processing from these data. With the volume of data that we need to store, our company will need to create multiple database to maintain historical data and such practice will not assist our company to implement centralized database that can be accessed by all staff, which consequently lead to data redundancy.
Data warehousing is a priority for our business because of the enormous volume of data that our organization will analyze and process. (Microsoft, 2012). Typically, data warehouse will assist our organization to organize data into multidimensional cubes using OLAP to rapidly summarize data for analytical queries. (Tera Data, 2012).
Rostek, (2010) argue that data warehouse stores, processes and integrates operational data to support an effective decision making process. Efficient analysis of data requires historical data to complete and data warehouse is the biggest known database that will assist our company to organize data...
Database Data Warehousing Design Data warehousing is a powerful tool that business organizations use to enhance competitive advantages. Data warehousing supports business decision by collecting, organizing and consolidating data for analysis and reporting using tools such as OLAP (online analytical processing ) and data mining. Typically, the relational database technology is generally being used to design a data warehousing and a relational database is a database having collection of tables, and
Data Warehousing: A Strategic Weapon of an Organization. Within Chapter One, an introduction to the study will be provided. Initially, the overall aims of the research proposal will be discussed. This will be followed by a presentation of the overall objectives of the study will be delineated. After this, the significance of the research will be discussed, including a justification and rationale for the investigation. The aims of the study are to
Data Warehousing Data Warehouse technology has changed the way that global organizations conduct business. Many have found it impossible to create a business strategy without a data warehouse. The purpose of this discussion is to research and explain the importance of data warehouse management. We will begin by defining data warehouse and describing the business uses for the technology. Our discussion will then focus of data warehouse management. We will examine the
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Data Warehousing and Mobile Computing Walmart is the largest company in the world with the estimated one million customers every hour and more than 100 million customers every week. A large number of customer and gigantic supply chain make the company start using the RFID system to track moving items and manage the supply chains. However, the RFID produces gigantic datasets, which may be challenging to store in the relational database.
However, many, if not most data warehouses have yet to deal effectively with this very real problem. Additionally, in the near future new parallel database servers are likely to improve the power of data warehousing exponentially. Not only will these servers allow the user to access immense pools of data, but they will also allow them to do so in a fraction of the time (ICFAI, 2004). Finally, it is also very
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