Answer:
An embedded system is a part of a larger system which has either one or a limited number of dedicated functions.
It doesn't require much power to run and is cheap to make and design.
Explanation:
Examples include: cars, microwaves, traffic lights, washing machines, phones etc
I think this answer, "<span>Upload all existing documents to a cloud-based program," is correct. Hope I helped!!</span>
<u>Answer:</u>
<em>Big data is to analyze large complex data.</em>
<u>Explanation:</u>
It is basically a data processing software which has overcome the disadvantage which we had in <em>the classical software where it was not able to manage huge data in a faster mode.</em>
The mean of an informational collection is found by including all numbers in the informational index and afterwards partitioning by the number of qualities in the set.
<em>To answer the question is the word big points to a number? I would say yes, since it can handle large amount of data, it is so called “Big data.</em>
The middle is the center worth when an informational collection is requested from least to most noteworthy. <em>The mode is the number that happens frequently in an informational index.</em>
Answer:
1. More access to data
2.convenience
3. Easy creation of BI solutions
4. Report creation
5. Saves time
Explanation:
A data warehouse can be described to be an electronic storage system that contains large amount of facts and information which sources for and also maintains data from different sources; either external or internal.
The most important reason for a data warehouse is for it to store great amounts of data to be used for query and also to be used for analysis.
Why do we use a data warehouse?
1. Users have more access to data due to the integration of various sources of data. It makes use of real time data facts
2. You can conveniently store and also create metadata
3. Business intelligence solutions can easily be created using data warehouses.
4. Users can easily create their own reports
5. Data warehouses makes accessing different data sets faster. It is a time saver as business users are not going to spend time trying to retrieve data from various sources.
