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Define the following terms: data model, database schema, database state, internal schema, conceptual schema, external schema, data independence.
Discuss a data warehouse and the benefits for tourism board? What is a dashboard and what kind of information it help that we don't already have in databases?
Discuss the correspondences between the ER model constructs and the relational model constructs.
Embedding database commands in a general-purpose programming language.
Discuss what AWS service gives you the ability to upload your application, monitor the health of your application, and implement scaling.
A description of the problem you want to support with a data science solution. Why the problem you selected can be solved with predictive modeling?
Develop an entity-relationship diagram (ERD) and its corresponding database to used by a product manufacturer to manage orders it receives from its customers.
Label each case as describing either data mining (DM), or the use of the results of data mining (Use) andbriefly explain your reasoning.
Develop an entity-relationship diagram and its corresponding database to be used by a product manufacturer to manage the orders it receives from its customers.
We focus on the introductory chapter in which we review data mining and the key components of data mining.
Describe business intelligence (BI), big data, and data analytics in general. How (BI), big data, and data analytics makes a company competitive in general.
Review section 1.2 and review the various motivating challenges. Select one and note what it is and why it is a challenge.
Why did Nationwide need an enterprise-wide data warehouse? How did integrated data drive the business value?
Create a query for the Item table that displays the average Wholesale Cost and the average Retail Price of all items. Save the query as Step 12 Query.
Explore the different types of graphs used to visualize data. Results from both Excel and SPSS should be copied and pasted into a Word document for submission.
List and describe the type of data you will need for your application, and how you will ensure the quality of the data.
What is the purpose of your personal database? How many tables do you think would be needed to support your database?
Do you think data mining has proven its value? Does it matter how large or small the data set is? Support your position with explanations and examples.
What you have learned to your professional lives. Explore and critically think about some of the learning outcomes and concepts presented in this course.
How does data and classifying data impact data mining? Discuss cluster analysis concepts. Explain what an anomaly is and how to avoid it.
Does it matter how large or small the data set is? Explain your reasoning. Support your position with explanations and examples.
What determines which type of Data Management System is being used? How important is the Data Management system in conducting SAD?
List and demonstrate the types of the data applicable to different industries by looking at successful case studies of well-known organizations.
Determine some attributes that each entity would have. Determine the Data Types for each of the Attributes.
What type of database(s) are part of the IS system (local, centralized, or distributed)?