Answer:
Option C
Explanation:
All of the following are true about data science and big data except No digital data is stored in traditional databases
Reason -
Data generated in current time is of large size and is also complicated. Traditional data bases such as SQL databases etc. are not capable to store data that is changing at a fast pace and has huge volume, veracity, variety and velocity. But big data platforms such as Hadoop can store big data and process it speedily and easily.
Answer:
Explanation:
Since there are no line numbers in this question I will start counting from public class SelectionSort{ as line 1 and so on, as well as provide the code on that line.
The index of the smallest value is returned on line 8 where it says return min which shouldn't have any spaces and should be return minPosition;
The input array is given as an argument at the beginning of the function on line 2 where it says private static int positionMin (int] vals, int startPosition) {, as the variable vals.
This input array is also used as an argument on line 10 where it says Position; private static void swap(int] vals, int firstPosition, int secondPosition) and line 15 where it says vals[secondPosition] temp return public static void selSort(int| vals) {
Answer:
Social networking platform and WindowsandroidIOS
Explanation:
Social media mostly uses Social networking platform and WindowsandroidIOS.
Hope this helps!
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Answer:
2. A data modelling project using a packaged data model REQUIRES A GREATER SKILL than a project not using a packaged data model.
Explanation:
1a. Review of universal models:
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real world entities. It has become the standard approach used towards designing databases.
A universal data model is a template data model that can be reused as a starting point or a building block to jump-start development of a data modelling project, industry specific model, logical data models.
1b. Discuss how these are being used more widely today.
*Universal data models helps professional reduce development time, improve consistency and standardization while achieving high quality models.
*Higher quality: just as architects consider blue prints before constructing a building, one should also consider data before building an app. A data model helps define the problem, enabling one to consider different approaches and choose best ones.
*By properly modelling and organization's data, the database designer can eliminate data redundancies (needless repetitions) which are a key source for inaccurate information and ineffective systems.
2. Greater and advanced skills are adequate and required when data modelling project is done using packaged data model while fewer skills are required when data modelling is done without packaged data model.