Answer:
num = int(input("enter a number:"))
print(num * 8)
Explanation:
num is just a variable could be named anything you want.
if code was like this num = input("enter a number:")
and do a print(num * 8)
we get an error because whatever the user puts in input comes out a string.
we cast int() around our input() function to convert from string to integer.
therefore: num = int(input("enter a number:"))
will allow us to do print(num * 8)
Answer:
A. VLOOKUP
Explanation:
VLOOKUP is an Excel function to look up data in a table organized vertically. VLOOKUP supports approximate and exact matching, and wildcards (* ?) for partial matches. Lookup values must appear in the first column of the table passed into VLOOKUP.
Purpose
Lookup a value in a table by matching on the first column
Return value
The matched value from a table.
Syntax
=VLOOKUP (value, table, col_index, [range_lookup])
Arguments
value - The value to look for in the first column of a table.
table - The table from which to retrieve a value.
col_index - The column in the table from which to retrieve a value.
range_lookup - [optional] TRUE = approximate match (default). FALSE = exact match.
Answer:
Grace Hopper.
Explanation:
Grace Hopper was a US Naval Rear Admiral and an American computer scientist who was born on the 9th of December, 1906 in New York city, United States of America. She worked on the first commercial computer known as universal automatic computer (UNIVAC), after the second World War II.
In 1953 at the Remington Rand, Grace Hopper invented the first high-level programming language for UNIVAC 1 by using words and expressions.
Additionally, the high-level programming language known as FLOW-MATIC that she invented in 1953 paved the way for the development of common business-oriented language (COBOL).
Hence, Grace Hopper developed the first compiler and conducted work that led to the development of COBOL.
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.
