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OverviewIn this journal assignment, you will reflect on key concepts covered in this module. This assignment directly supports your work in Project Two, which is due in Module Seven.
DirectionsIn a well-crafted journal entry, address the following:Discuss why big data-specific tools are necessary for big data analytics.Give examples of 2-3 tools that might be used in analyzing big data and why they are necessary.Explain how big data tools work with common data-handling tools.Identify the purpose of non-relational databases for big data and how they coexist with relational databases.Explain how the diversity of IoT data can influence your choice of tools.Explain how machine learning differs from AI. Enjoy trusted, budget-friendly assignment help from today onward!Explain how machine learning will improve the utility of consumer devices.Explain how AI expands the capabilities of consumer devices.Reflect on your interactions with big data and AI.How do these concepts connect to your interests, concerns, or future aspirations?
Design a dimensional model for analysing Purchases for Adventure Works Cycles and implement it as cubes using SQL Server Analysis Services. The AdventureWorks OLTP sample database is the data source for you BI analysis.
Design a Database schema
Create an entity-relationship diagram and design accompanying table layout using sound relational modeling practices and concepts.
Implement a database of courses and students for a school.
Energy in the home, personal energy use and home energy efficiency and Efficient use of ‘waste' heat and renewable heat sources
Design relation schemas for the entire database.
Prepare the relational schema for database
Data Modeling and Normalization
Use Cases Perform a requirements analysis for the Case Study
Knowledge and Data Warehousing
Identify and explain the differences between a stack and a queue data structure
Practice on topic of Normalization
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