Previous Page Next Page Page 20 of 50 Question 20 According to the World Economic Forum's Future of Jobs Survey 2020, for professionals interested in the field of Data and Al (Artificial Intelligence) jobs of tomorrow, all of the following represent "mass" (significant) opportunites with these professional clusters EXCEPT: Artificial Intelligence Specialist Analytics Consultant Data Scientist

Q: Question: Why do you want to go into another computer(data science) profession or change careers,…

A: Data science is basically an interdisciplinary field that uses scientific procedures, methods,…

Q: Case Study – Big data technologies-based application is used to process, analyze and store the…

A: The answer is

Q: ome of the challenges that come w

A: Describe some of the challenges that come with dealing with vast volumes of data.

Q: Explain the concept of data aggregation in data warehousing. Why is data aggregation important for…

A: Data aggregation plays a role in data warehousing by summarizing and combining information from…

Q: Explain the importance of data governance and data stewardship in effective data management.

A: Data governance and data stewardship are crucial components of effective data management.

Q: Unstructured data extracts information from data and uses it to predict future trends and identify…

A: Unstructured data, which includes text documents, social media postings, emails, photos, and videos,…

Q: Evaluate FIVE (5) disadvantages of proposing the big data and cloud technologies in reference to the…

A: based on the given case study , here are the answers for question 4 and 5

Q: 1. Introduction 2. What is a Lookup? 3. Search Time Operations Sequence 4. Introduction to Lookups

A: Data enrichment or argument is the process of enhancing the existing information by supplementing…

Q: Explain the concept of data cubes and their role in multidimensional data analysis.

A: Data cubes are a concept for analyzing data commonly used in data warehousing and business…

Q: PLEASE HELP! Introduction Conditional formatting is a powerful tool for data visualization and…

A: Conditional formatting can help you explore and interpret data visually, recognize important issues…

Q: Define the concept of big data and its characteristics that differentiate it from traditional data.

A: Massive amounts of structured, semi-structured, and unstructured data are referred to as "big data"…

Q: Differentiate the role of OLAP in descriptive analytics.

A: Although OLAP engines make it simple to conduct operations such as slicing, dicing, drill-down,…

Q: Explain the importance of data warehousing in supporting data mining and decision support systems.

A: Data warehousing plays a role in data-driven decision-making and data mining. It serves as a…

Q: Explain the concept of data warehousing and its use in supporting business intelligence and…

A: Data warehousing is a crucial component of modern data management and analytics. It's a centralized…

Q: Explain the principles of data warehousing, including data extraction, transformation, and loading…

A: Data warehousing is a fundamental concept in the realm of data management that plays a crucial role…

Business Intelligence Analytics Tools and Techniques

Business intelligence tools are the tools used for analyzing, retrieving, sorting, and filtering information from different business intelligence systems. They are used for creating reports, visualizing large volumes of data, and decision-making.