Data Warehouse and Business Intelligence Implementation: Agile and Iterative Themes
نویسندگان
چکیده
The growth and success of agile software development across industry and government has led to the application of these methods to other domains. This paper discusses common agile and iterative themes used on data warehouse and business intelligence projects by reviewing and analyzing academic and industry literature, and categorizing key words and phrases associated with agile across common themes.
منابع مشابه
Towards agile BI: applying in-memory technology to data warehouse architectures
Confronted with increased market dynamics and hence frequently changing system environments, today’s decision support systems face the demand to respect such developments. Developing and maintaining so called agile business intelligence (BI) systems is a major challenge for information technology and organizations, since the underlying assumption of BI is to support mostly long term decisions i...
متن کاملAgile Development in Data Warehousing
Traditional data warehouse projects follow a waterfall development model in which the project goes through distinct phases such as requirements gathering, design, development, testing, deployment, and stabilization. However, both business requirements and technology are complex in nature and the waterfall model can take six to nine months to fully implement a solution; by then business as well ...
متن کاملBusiness Intelligence - as - a - Service : Studying the Functional and the Technical Architectures
In recent years, the data warehousing infrastructures have undergone many changes in various aspects. This is usually due to many factors: the emergence of Software-as-a-Service (SaaS) architecture model; the success of agile and iterative Data Warehouse (DW) development approaches; the introduction of new approaches based on the Model Driven Architecture (MDA); the changing needs of organizati...
متن کاملBPMN-Based Conceptual Modeling of ETL Processes
Business Intelligence (BI) solutions require the design and implementation of complex processes (denoted ETL) that extract, transform, and load data from the sources to a common repository. New applications, like for example, real-time data warehousing, require agile and flexible tools that allow BI users to take timely decisions based on extremely up-to-date data. This calls for new ETL tools ...
متن کاملThe Impact of In-Memory Technology on the Agility of Data Warehouse-based Business Intelligence Systems - a preliminary Study among Experts
A vital aspect for organizations’ competitiveness in dynamic market conditions is to draw faster conclusions out of changing circumstances. The Information system itself must become more adaptable to better support corporate strategies. This is particularly challenging in the domain of Business Intelligence (BI) since the underlying architecture of decision support systems is not built upon agi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013