An instance in my life where I rendered services was when I worked in a grocery store.
The roles of entrepreneur include:
- Allocating employees duties.
- Improving standard of living.
- Taking risks.
The three challenges that a young entrepreneur faces today include:
- Financial instability.
- Conflicts with education.
- Lack of business skills.
The top three characteristics of an entrepreneur include:
- Innovation.
- Confidence
- Risk taking
<h3>Who's an entrepreneur?</h3>
It should be noted that a entrepreneur is an individual who owns business and take risks.
The roles of entrepreneur include allocating employees duties, improving standard of living, and taking risks
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The answer that is a record in a relational database is called; A row
<h3>What is a record in relational database?</h3>
In relational databases, a record is defined as a group of related data held within the same structure. Furthermore, we can say that a record is a grouping of fields within a table that reference one particular object.
Now, in relational database, a row is called a record because each row, contains a unique instance of data or key for the categories defined by the columns.
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Answer: The tools which are required to accomplish each step in the data management process are:
1. Cloud Data Management tools.
2. Master Data Management (MDM) tools.
3. Reference Data Management (RDM) tools.
4. ETL tools.
5. Data visualization and analytics tools
Explanation:
Cloud Data Management tools with the help of various API's are able to connect multiples system with their data to the cloud. examples are amazon cloud, google API cloud.
MDM tools are used for creation and maintenance of reference data. example are Profisee
RDM tools is used with the MDM tools and are use to define the businesss processes over the reference data. Examples are Collibra.
ETL tools helps to load data of an organisation to data warehouses after transformation and testing the data pipeline constituting the data from different databases.
Data visualization analytics tools helps to extract and generate report from the big sets of data which can help an organisation to take business decisions.
Answer:
- import math
-
- def standard_deviation(aList):
- sum = 0
- for x in aList:
- sum += x
-
- mean = sum / float(len(aList))
-
- sumDe = 0
-
- for x in aList:
- sumDe += (x - mean) * (x - mean)
-
- variance = sumDe / float(len(aList))
- SD = math.sqrt(variance)
-
- return SD
-
- print(standard_deviation([3,6, 7, 9, 12, 17]))
Explanation:
The solution code is written in Python 3.
Firstly, we need to import math module (Line 1).
Next, create a function standard_deviation that takes one input parameter, which is a list (Line 3). In the function, calculate the mean for the value in the input list (Line 4-8). Next, use the mean to calculate the variance (Line 10-15). Next, use sqrt method from math module to get the square root of variance and this will result in standard deviation (Line 16). At last, return the standard deviation (Line 18).
We can test the function using a sample list (Line 20) and we shall get 4.509249752822894
If we pass an empty list, a ZeroDivisionError exception will be raised.