Business Intelligence And Data Warehousing Video
Data Warehouse Concepts - Data Warehouse Tutorial - Data Warehouse Architecture - EdurekaBusiness Intelligence And Data Warehousing - not
Companies that build data warehouses and use business intelligence for decision-making ultimately save money and increase profit. In addition, initiatives ranging from supply chain integration to compliance with government-mandated reporting requirements such as Sarbanes-Oxley and HIPAA depend on well-designed data warehouse architecture. This specialized studies program introduces you to the main components of a data warehouse for business intelligence applications. Learn how a data warehouse fits into the overall strategy of a complex enterprise, how to develop data models useful for business intelligence, and how to combine data from disparate sources into a single database that comprises the core of your data warehouse. Explore how to define and specify useful management reports from warehouse data. Those who provide the requests for data in order to analyze trends and systems should also attend. Occupational summary for management analysts. Source: Economic Modeling Specialists Intl. Course schedules are subject to change. Business Intelligence And Data Warehousing.About Karan Ahluwalia
The electronics and communication engineering department at New Horizon College of Engineering has a vision to create high quality engineering professionals who can transform society and earn Inetlligence reputation. He majorly works with data, business data, interpreting and modeling it according to the business requirements and creating useful and meaningful visualizations for the business end-users using Data Virtualization Tools.
The audience was III sem students. The session started with introduction to business intelligence i.
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The alumni discussed about business management issues, data warehousing, operational source systems and data access tools. Students interacted with alumni at the end of the session by taking suggestions and clarifying doubts on data warehousing. The session was overall very informative.
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