Computer Science
University of Cummberlands Big Data Processing Essay

university of cummberlands

Question Description

I’m studying and need help with a Computer Science question to help me learn.

You are kindly requested to solve the Exercises found at the end of Chapter1 of the textbook-page 23.

1. What are the three characteristics of Big Data, and what are the main considerations in processing Big Data?

2. What is an analytic sandbox, and why is it important?

3. Explain the differences between BI and Data Science.

4. Describe the challenges of the current analytical architecture for data scientists.

5. What are the key skill sets and behavioral characteristics of a data scientist?

Student has agreed that all tutoring, explanations, and answers provided by the tutor will be used to help in the learning process and in accordance with Studypool's honor code & terms of service.

Final Answer

Attached.

Running head: BIG DATA PROCESSING

1

Big data processing
Name
Institution

BIG DATA PROCESSING

2
Big data processing

Question 1;
The first characteristic of big data is 'volume'. Data with a huge size is considered to be a
big data. The second characteristic is ‘variety’. Big data has heterogeneous sources both
structured and unstructured. The third characteristic of big data is 'velocity'. Big data flows in a
continuous and massive way and accessed in real-time.
Big data is collected and accumulated in large amounts. This always poses a challenge
when analyzing and deducing meaningful information from it. Effective methods and specific
considerations are required in processing them.
One, the security of data is very significant. It is good to ensure data security protocols is
touching on all aspects of institutional architecture and is evaluated regularly to do away with
any loopholes
Secondly, its network capacity should be able to manage the collection and processing of
big volumes of data and increasing at a relatively high velocity, and streaming ...

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New York University

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