Big Data Overview and Class Rules

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Questions and Answers

Which component carries the highest weight in the course assessment?

Final exam (correct)

Assignment

Project

Participation

What will happen if a student is caught cheating or plagiarizing?

They will receive zero marks for that assessment. (correct)

They will be expelled from the course.

They will be given a warning.

Their attendance will be affected.

How should a student communicate if they are unable to meet a deadline?

Talk to the professor after class.

Submit the assignment late with an apology.

Send an email before the deadline. (correct)

Ask a classmate to inform the professor.

According to the course rules, what is permitted in class?

Asking questions whenever necessary. Signup and view all the answers

What defines Big Data according to the course content?

Data that exceeds traditional memory limits. Signup and view all the answers

How many members are allowed in a project group?

2-3 members. Signup and view all the answers

What aspects should a student focus on to earn their final grade?

Earning points based on performance. Signup and view all the answers

What characterizes structured data?

Data that fits into fixed fields and columns. Signup and view all the answers

Which of the following types of data is considered unstructured?

Video files Signup and view all the answers

What are the 3 Vs of big data according to Laney?

Volume, Variety, Velocity Signup and view all the answers

Which statement about analytics is true?

Analytics transforms data into insights for decision-making. Signup and view all the answers

What does the term 'veracity' refer to in the context of big data?

The accuracy and trustworthiness of data. Signup and view all the answers

What is the primary focus of predictive analytics?

Enabling decisions based on future predictions Signup and view all the answers

Which of the following is NOT a characteristic of big data?

Can only be represented in numerical formats. Signup and view all the answers

Which analytics type is best suited for answering the question, 'What has happened?'

Descriptive Analytics Signup and view all the answers

What is a primary goal of using analytics in big data?

To transform data into actionable insights. Signup and view all the answers

Which of the following formats is typically considered structured data?

Relational databases Signup and view all the answers

Which of the following best describes prescriptive analytics?

Providing recommendations based on data analysis Signup and view all the answers

What role do data scientists typically focus on?

Deep analysis in selected areas of data science Signup and view all the answers

Which technology is considered the leader in the analytics market?

SAS Signup and view all the answers

What is one of the key buzzwords associated with analytics?

Big Data Signup and view all the answers

What is one characteristic that defines Big Data?

Data that is difficult to process using traditional methods Signup and view all the answers

Business intelligence primarily involves which of the following?

Mining data for insights Signup and view all the answers

Which of the following is typically NOT a source of Big Data?

Traditional surveys Signup and view all the answers

Which of the following represents a key component in data science?

Machine Learning Signup and view all the answers

What is a major benefit of platforms like data lakes and Hadoop in relation to Big Data?

They ease the burden of data storage Signup and view all the answers

Which statement best describes the sampling size characteristic of Big Data?

Samples often exceed traditional limits, usually more than 100 subjects Signup and view all the answers

Why is it significant to handle Big Data in near-real time?

To react promptly to changes and insights Signup and view all the answers

Which of the following statements about Big Data is correct?

Big Data includes a variety of data types and sources. Signup and view all the answers

Which of the following challenges is associated with Big Data?

Difficulty in processing due to size, speed, or complexity Signup and view all the answers

Which software product is known for its integrated platform providing end-to-end solutions in business intelligence?

SAS Signup and view all the answers

Which of the following programming languages is characterized as an interpreted, high-level, general-purpose language?

Python Signup and view all the answers

In which area is R primarily used?

Statistical computing and graphics Signup and view all the answers

What is one of the main features of Hadoop?

Highly scalable architecture Signup and view all the answers

Which tool is widely recognized for creating interactive graphs and dashboards for business intelligence?

Tableau Signup and view all the answers

Which of the following is NOT an area that commonly uses Python?

Network Protocol Creation Signup and view all the answers

What distinguishes SAS's analytics solutions in the market?

They are unmatched in domain-specific focus. Signup and view all the answers

What key feature does R offer that enhances its functionality?

High extensibility Signup and view all the answers

Study Notes

Class Rules

Students can do anything except make noises (chatting, singing).
Students can interrupt with questions.
Attendance is required according to university policy.
80% attendance is necessary to sit the final exam.

Course Assessment

The final exam is worth 50%.
Assignments are worth 20% (individual).
Projects are worth 30% (groups of 2-3 people). Project includes a report and presentation.
Cheating and plagiarism result in zero marks.
Course assessment is temporary; this can change.

What is Big Data?

Big data is data that doesn't fit in main memory.
Examples include web server access logs, the graph of the entire internet (Wikipedia), and daily satellite images over a year.
It also includes data with a large number of observations and/or features.
Non-traditional sample sizes (e.g., > 100 subjects) are difficult to analyze using traditional statistical tools (like Excel).

Big Data Characteristics

Volume: Large quantities of data.
Velocity: Data arriving quickly.
Variety: Data comes in many formats (structured or unstructured).
Veracity: Data quality (accuracy).

Big Data Tools

Hadoop
Apache Storm
Spark
Hive
Tableau
R
Python

Analytics

Analytics is the scientific process of transforming data into insights for better decision-making.
Big data isn't valuable in itself; it's how you use it.

Types of Analytics

Predictive analytics: Predicting future happenings based on past patterns.
Descriptive analytics: Analyzing existing business practices for insights.
Prescriptive analytics: Making decisions based on data for best outcomes.

Analytics Buzzwords

Big data
Machine learning
Data science
Data mining
Business intelligence

Data Science

Data science is a field encompassing multiple areas including data systems, business intelligence, machine learning, data science, and analytics.
It emphasizes in-depth knowledge in one or two aspects of these areas.
Specific teams may cover all these areas.

SAS

SAS is the leading vendor in business intelligence.
It offers a platform for end-to-end solutions and is the industry standard for clinical data analysis.
Provides domain-specific analytics solutions across various industries.

R

R is a widely used statistical computing language that is highly extensible.

Hadoop

Hadoop is a popular big-data ecosystem.
It can handle large computations across multiple machines.

Python

Python is a high-level programming language very popular for diverse uses including Web Development, Game Development, and Machine Learning among others.

Tableau

Tableau is a data visualization tool for business intelligence.
Enables interactive charts and dashboards to gain insights.

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Description

This quiz covers the essential class rules and the fundamental concepts of Big Data. It highlights important assessment criteria and characteristics of Big Data, including its volume and the challenges it presents. Test your knowledge on key definitions and course policies!