Big Data Overview and Key Concepts
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Questions and Answers

Which type of analysis focuses on understanding changes in data over a period of time?

  • Descriptive analysis
  • Statistical analysis
  • Trend analysis (correct)
  • Comparative analysis
  • What is one of the primary functions of INE in relation to economic data?

  • To offer a range of statistical data on various aspects of the country (correct)
  • To provide historical data only
  • To facilitate international trade negotiations
  • To analyze genetic factors in demographics
  • Which of the following is NOT a type of analysis mentioned in the content?

  • Qualitative analysis (correct)
  • Trend analysis
  • Comparative analysis
  • Descriptive analysis
  • Which data source is indicated as offering interactive tools for data analysis?

    <p>INE</p> Signup and view all the answers

    What type of survey data does INE provide regarding the labor market?

    <p>Survey data to active population</p> Signup and view all the answers

    What should be done when data redundancies and inconsistencies begin to appear in a list?

    <p>Convert the list to a database managed by a DBMS</p> Signup and view all the answers

    Which of the following is NOT a function performed by a Database Management System (DBMS)?

    <p>Formatting text for user interfaces</p> Signup and view all the answers

    At which level of database design are the main entities and relationships defined in a technology-agnostic way?

    <p>Conceptual Design</p> Signup and view all the answers

    What does the integrity function of a DBMS ensure?

    <p>Accurate and consistent data through validation rules</p> Signup and view all the answers

    Which of the following tasks is involved in the manipulation aspect of a DBMS?

    <p>Inserting, updating, and deleting records</p> Signup and view all the answers

    What is the primary advantage of using indexing within a DBMS for performance optimization?

    <p>Increases the speed of data retrieval processes</p> Signup and view all the answers

    What characterizes the physical level of database design?

    <p>Describes the actual storage method of data</p> Signup and view all the answers

    Which of the following accurately describes the purpose of a primary key in a database?

    <p>It uniquely identifies each row in a table.</p> Signup and view all the answers

    What is the significance of using foreign keys in relational databases?

    <p>To connect two tables by referencing the primary key of another table.</p> Signup and view all the answers

    Which data type would you choose to store a file that contains an image in a database?

    <p>BLOB</p> Signup and view all the answers

    How does SQL facilitate data analysis for businesses?

    <p>By allowing the retrieval of insightful information through complex queries.</p> Signup and view all the answers

    When defining a DECIMAL data type as DECIMAL(5,2), what does each number represent?

    <p>5 total digits with 2 after the decimal point.</p> Signup and view all the answers

    What type of SQL command would you use to remove a record from a database table?

    <p>DELETE</p> Signup and view all the answers

    Which SQL command structure correctly creates a new table with two columns: 'Name' and 'Age'?

    <p>CREATE TABLE People (Name CHAR(30), Age INT);</p> Signup and view all the answers

    Which SQL data type would be most appropriate for storing a person's birthdate?

    <p>DATE</p> Signup and view all the answers

    What role does SQL play in the field of healthcare?

    <p>Essential for managing patient records and data efficiently.</p> Signup and view all the answers

    What is the purpose of using a subquery in the context of retrieving customer names?

    <p>To retrieve one or more values based on criteria</p> Signup and view all the answers

    Which of the following accurately describes a correlated subquery?

    <p>It uses information from the outer query to filter results.</p> Signup and view all the answers

    What is a key limitation of using Excel as a flat-file database?

    <p>It lacks complex relational structures and integrity constraints.</p> Signup and view all the answers

    In which situation would using Excel's Data Model be most beneficial?

    <p>When working with large datasets requiring complex relationships.</p> Signup and view all the answers

    How does the use of a subquery in the SELECT statement enhance its functionality?

    <p>By providing calculated fields based on other related data.</p> Signup and view all the answers

    What happens when a subquery in a WHERE clause compares a column to an aggregate value?

    <p>It filters the results based on the average of all records.</p> Signup and view all the answers

    Which SQL statement will result in retrieving information about cars rented by customers who rented more than once?

    <p>SELECT * FROM cars WHERE carid IN (SELECT carid FROM rentals GROUP BY customerid HAVING COUNT(*) &gt; 1)</p> Signup and view all the answers

    What key advantage does Excel have as a tool for managing small datasets?

    <p>It enables quick analyses without needing extensive database knowledge.</p> Signup and view all the answers

    What SQL function would effectively retrieve the total amount spent by each customer?

    <p>SUM</p> Signup and view all the answers

    Study Notes

    Big Data

    • Data is essential for decision-making in all areas of business
    • Global data volume in 2025 is estimated at 175 zettabytes (ZB) (1 ZB = 1 billion gigabytes)
    • Daily Internet user data generation is around 2,500,000 GB
    • 90% of data was generated in the last two years.

    Five Vs of Big Data

    • Velocity: batch, near real-time, real-time, streams
    • Variety: structured, unstructured, semi-structured
    • Volume: terabytes, records, transactions, tables, files
    • Veracity: trustworthiness, authenticity, origin, reputation, accountability
    • Value: statistical, events, correlations, hypothetical

    Data Sources

    • Social media platforms like Facebook, Twitter, and Instagram
    • Internet of Things (IoT) devices
    • Sensors generating data
    • 80% of global data is unstructured (text, images, video).

    Data Storage

    • Less than 20% of global data is stored in relational databases.
    • Big Data Architectures are used to store, process and analyse large volumes of data.
    • Cloud storage and NoSQL databases are used.
    • Different technologies are needed to manage large volumes.

    Data Analysis Types

    • Descriptive analysis: summarizing and describing a dataset (e.g., unemployment by age in Spain)
    • Trend analysis: how data changes over time
    • Comparative analysis: comparing data between groups or variables (e.g., comparing unemployment rates in different regions of Spain)

    Economic and Financial Data Sources

    • INE (Spanish National Statistics Institute): provides data on economic, demographic and social aspects
    • Ministry of Economy, Trade and Enterprise: provides data on financial data and statistics such as macroeconomic data, public finances, labor market information
    • Other sources include data from a variety of sources such as Madrid Stock market, European statistics office, World bank and the International Monetary Fund

    Introduction to Databases

    • Databases are used to manage, store, and retrieve information efficiently in the digital world
    • Different ways to store and manage information existed before databases (e.g., paper, magnetic tapes, books)
    • These methods lacked the ability to handle large volumes of data efficiently in a secure manner
    • Database management systems (DBMS) provide an interface between users and data and enable efficient data management
    • Database management systems provide tools for data creation, management, manipulation and retrieval

    SQL and Its Importance

    • SQL (Structured Query Language): essential for managing and manipulating relational databases, used in most relational DBMS
    • It supports tasks like creating, reading, updating, and deleting data.
    • Useful for Data Analysis(extracting meaningful insights) and to handle large data volumes
    • Widely used in real-world applications such as finance, business intelligence, healthcare, and e-commerce.

    Main Data Types in SQL

    • A table's columns have different data types.
    • Common data types include: INT, FLOAT, DOUBLE, DECIMAL, VARCHAR, CHAR, TEXT, DATE, TIME, DATETIME, TIMESTAMP, and BLOB.

    SQL Queries

    • Creating tables, selecting records, inserting records, updating records, and deleting records are some of the SQL tasks
    • Joins are essential to combine data from multiple tables on related columns.
    • Subqueries are used in SQL to perform complex queries with queries nested inside another query.
    • Operators are used to perform arithmetic calculations, comparisons and logical evaluations.

    Using Microsoft Excel as a Database

    • Excel can be used as a flat-file database, especially for storing and managing small datasets. It can be useful for smaller applications and quick analysis
    • Excel lacks some functions of a full database system (e.g. integrity constraints and scalability)
    • Excel's data model supports relationships between tables.
    • Limitation of Excel as relational database: not robust and does not enforce referential integrity

    NoSQL Databases

    • NoSQL databases are used for non-tabular data, unlike relational database.
    • They are highly scalable and versatile, used for Big Data and real-time analysis.
    • Document stores store data as documents (e.g., JSON).
    • Graph databases model data as nodes and connections.
    • Key-value stores store data by key and value pairs.

    Power BI as a Database Tool

    • Power BI can connect to various data sources (SQL databases, Excel, etc.) and provide visualization.
    • It is suitable for data exploration, analysis, and business intelligence, but does not store data centrally.
    • It allows users to generate reports, dashboards, and analyses, but unlike full database systems, it does not store data permanently.

    Relational Databases

    • Tables are organized in rows and columns and connected using relationships (keys).
    • Relationships exist to link tables for complex queries and data integrity.
    • Normalization is essential for efficient database design and reduces redundancy.
    • Relational databases are structured and efficient for handling data with strong relationships.

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    Big Data Concepts PDF

    Description

    Explore the fundamentals of Big Data, including its importance in decision-making and the staggering statistics surrounding global data generation. This quiz covers the Five Vs of Big Data, common data sources, and storage solutions used in the industry today.

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