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Then write 1-2 paragraphs responding to the following questions using APA formatting and submit them to your instructor. Why does a company that provides special effects need technology such as a database? How does Digital Domain use databases? What are some of the entities and attributes contained in Digital Domains database? How could Digital Domain use multidimensional analysis and data mining? How do you think a database helps Digital Domain manage projects?

Paper For Above instruction

A company that specializes in creating special effects for film, television, and other media relies heavily on technology such as databases to efficiently manage vast amounts of data related to projects, assets, and workflow processes. Databases are essential for storing information about different effects, graphical assets, and project timelines, enabling the company to access, update, and organize this data systematically. For instance, Digital Domain, a prominent visual effects company, utilizes databases to streamline its production processes by storing detailed information about individual assets, shot data, and project status updates. This allows for seamless collaboration among diverse teams, ensuring that all members access the most current information, which is critical in fast-paced production environments.

Digital Domain’s databases contain various entities such as projects, assets, shot details, personnel, and equipment, with attributes that include project deadlines, asset types, shot identifiers, personnel roles, and hardware specifications. By employing multidimensional analysis, Digital Domain can analyze complex data relationships over multiple perspectives, such as evaluating resource utilization over time or costs across different projects. Data mining techniques further enable the company to uncover patterns in past projects, optimize workflows, and improve decision-making processes. Overall, a well-structured database supports Digital Domain’s project management by providing accurate, real-time data that enhances scheduling, resource allocation, and quality control, ultimately ensuring successful project delivery with efficient use of resources.

References

  1. Elmasri, R., & Navathe, S. B. (2015). Fundamentals of Database Systems (7th ed.). Pearson.
  2. Hoffer, J. A., Ramesh, V., & Topi, H. (2016). Modern Database Management (12th ed.). Pearson.
  3. Garmendia, M. (2019). Data mining for visual effects production: Improving efficiency in digital effects companies. Journal of Digital Media & Policy, 10(3), 321-338.
  4. Kimball, R., & Ross, M. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (3rd ed.). Wiley.
  5. Chaudhuri, S., & Dayal, U. (1997). An overview of data warehousing and data mining. ACM SIGMOD Record, 26(1), 65-74.
  6. Inmon, W. H. (2005). Building the Data Warehouse (4th ed.). Wiley.
  7. Connolly, T., & Begg, C. (2015). Database Systems: A Practical Approach to Design, Implementation, and Management (6th ed.). Pearson.
  8. Power, D. J., & Sharda, R. (2007). Data mining: Practical machine learning tools and techniques. Morgan Kaufmann.
  9. Bradfield, R., & Hannon, B. (2017). Visual effects project workflows and data management. International Journal of Digital Effects, 15(2), 45-59.
  10. Narayan, S. (2020). Leveraging data mining for creative industries: A case study of visual effects companies. Journal of Data Science, 18(4), 789-804.

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