Software Engineering (10th Edition)
10th Edition
ISBN: 9780133943030
Author: Ian Sommerville
Publisher: PEARSON
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Chapter 24, Problem 24.9E
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Software analytics:
- The process that includes the test which is conducted by software engineers and data managers for individual development of the software is termed as software analytics.
- The software analytics includes the data from different open sources which is not reliable...
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When moving from a custom-built solution to an enterprise-level analytics system, there are a number of things to bear in mind.
It is crucial to specify the role that OLAP performs in descriptive analytics.
In descriptive analytics, figuring out the part that OLAP plays is crucial.
Chapter 24 Solutions
Software Engineering (10th Edition)
Ch. 24 - Explain why a high-quality software process should...Ch. 24 - Explain how standards may be used to capture...Ch. 24 - Discuss the assessment of software quality...Ch. 24 - Prob. 24.4ECh. 24 - Prob. 24.5ECh. 24 - Prob. 24.6ECh. 24 - Prob. 24.7ECh. 24 - Explain why it is difficult to validate the...Ch. 24 - Prob. 24.9ECh. 24 - A colleague who is a very good programmer produces...
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- It is essential to have a clear understanding of what part OLAP plays in descriptive analytics.arrow_forwardPlease describe your own data analytics knowledge, including tools, projects, and how you have used data to aid you in your usual work responsibilities. The methods to data analytics may be split into three types. Which of the following categories do you believe your experience fits in? Which data sources do you intend to make greater use of in order to make better judgments based on the information you have available?arrow_forwardThe role of OLAP in descriptive analytics must be well defined.arrow_forward
- The role that OLAP plays in descriptive analytics must be well defined.arrow_forwardThe first step you need to take in descriptive analytics is to figure out what part online analytical processing (OLAP) plays in the process.arrow_forwardThe function of OLAP should be elucidated through descriptive analytics.arrow_forward
- Explain how any business analytics classes you took had an impact on the group projects and/or tasks that you worked on in order to prepare you to contribute to the employer of your internship. What specific learning opportunities in the workplace did we have that assisted us in better comprehending the material that you presented in your coursework? During your time with us, can you think of any subjects or areas of expertise that, had they been included in the business analytics program, would have been of use to both you and us?arrow_forwardIn computing, a data warehouse is a system used for reporting and data analysis. It is considered a core component of business intelligence. Data warehouses are a central repository of information that can be analyzed to make more informed decisions. Data and analytics have become indispensable to businesses to stay competitive. Business users rely on reports, dashboards, and analytics tools to extract insights from their data, monitor business performance, and support decision making. Data warehouses power these reports, dashboards, and analytics tools by storing data efficiently to minimize the input and output (I/O) of data and deliver query results quickly to hundreds and thousands of users concurrently. Different types of data warehouse models. Read the above scenario and answer the following questions. a. Evaluate the three common data warehouse architecture. b. What is the best architecture to build a data warehouse?arrow_forwardUnderstanding the function of OLAP in descriptive analytics is essential.arrow_forward
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