The Evolution Of Enterprise Data Warehousing
Presentation Assignment Rubric: The Evolution of Enterprise Data Warehousing This presentation assignment is specifically designed to give students the opportunity to create a presentation that explains why it is important to stay current in the data warehousing field and how new trends are affecting the outlook for future data warehouse solutions. Prompt: The white paper The Microsoft Modern Data Warehouse discusses how enterprise data warehousing has evolved and the Microsoft approach to data warehousing. Topics discussed include a review of traditional data warehouses, key trends in breaking traditional data warehousing, and how to evolve to a modern data warehouse. In the presentation assignment in Module Three, you developed a presentation on the importance of data integrity. Now you will give a presentation to some new interns on how to evolve traditional data warehouses. Print out the white paper mentioned and give a hard copy to all the interns. Then, prepare a 6- to 8-slide PowerPoint that highlights some key trends mentioned in the white paper. Include discussion on why it is important to evolve traditional data warehouses, and also discuss how this is affecting the outlook for future data warehouse solutions. The following critical elements will be addressed in this submission:
Discuss the importance of evolving enterprise data warehousing.
Identify key trends in big data analytics.
Discuss how trends affect the outlook for future data warehouse solutions.
Include accurate interrelation of sources used (“speaker notes”) to further the overall presentation.
https://www.microsoft.com/en-us/sql-server/big-data-data-warehousing
Rubric Guidelines for Submission: In addition to the 6- to 8-slide PowerPoint presentation, a slide with “speaker notes” is required for references. Use appropriate APA style citations.
Critical Elements Exemplary (100%) Proficient (90%) Needs Improvement (75%) Not Evident (0%) Value
Importance of Evolving Enterprise Data Warehousing
Meets “Proficient” criteria and presentation includes relevant details and scholarly research to discuss evolution
Discusses importance of evolving enterprise data warehousing using specific details
Discusses ways data warehousing has evolved, but does not provide sufficient or relevant details specific to importance
Does not discuss importance of evolving enterprise data warehousing
20
Key Trends in Big Data Analytics
Meets “Proficient” criteria and presentation includes relevant examples and scholarly research to identify key trends
Identifies key trends in big data analytics with specific details
Identifies key trends in big data analytics but does not include specific or relevant details
Does not identify key trends in big data analytics
20
Outlook for Future Data Warehouse
Solutions
Meets “Proficient” criteria and discussion includes relevant examples
Discusses how trends affect the outlook for future data warehouse solutions with specific details
Discusses how trends affect the outlook for future data warehouse solutions but lacks specific details
Does not discuss how trends affect the outlook for future data warehouse solutions
20
Sources Meets “Proficient” criteria substantiated with detailed and thorough analysis of the relationship between diverse sources
Accurately interrelates the sources used to further the overall presentation
Interrelates the sources used to further the overall presentation, but information is inaccurate or incomplete
Does not interrelate the sources 20
Articulation of Response
Submission is free of errors related to APA style citations, grammar, spelling, syntax, and is presented in a professional and easy-to-read format
Submission has no major errors related to APA style citations, grammar, spelling, or syntax
Submission has major errors related to APA style citations, grammar, spelling, or syntax that negatively impact readability and articulation of main ideas
Submission has critical errors related to APA style citations, grammar, spelling, or syntax that prevent understanding of ideas