Big Data Overview
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Questions and Answers

What type of analysis focuses on understanding how data changes over a specific period?

  • Trend analysis (correct)
  • Comparative analysis
  • Descriptive analysis
  • Predictive analysis
  • Which of the following is NOT a focus area of statistical data provided by the INE?

  • Demography and population
  • Labor market
  • Economy
  • Weather patterns (correct)
  • What aspect does comparative analysis study in the context of statistical data?

  • Insights on future trends
  • Forecasting economic conditions
  • Summarizing overall dataset characteristics
  • Differences and similarities between datasets (correct)
  • Which organization provides a comprehensive range of financial data and statistics?

    <p>Ministry of Economy, Trade and Enterprise</p> Signup and view all the answers

    What type of data is typically included in the demographic and population statistics offered by INE?

    <p>Census data, births, and deaths</p> Signup and view all the answers

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

    <p>To uniquely identify each record within a table.</p> Signup and view all the answers

    What SQL command would you use to remove all records from a table without deleting the table itself?

    <p>TRUNCATE TABLE TableName;</p> Signup and view all the answers

    Which SQL data type is most appropriate for storing a precise financial amount like 123.45?

    <p>DECIMAL(5,2)</p> Signup and view all the answers

    In SQL, what does NOT NULL signify when defining a table column?

    <p>The column cannot hold a null value.</p> Signup and view all the answers

    What is the primary benefit of using foreign keys in a relational database?

    <p>To enforce data integrity and avoid data duplication.</p> Signup and view all the answers

    When is the TIMESTAMP data type particularly useful in a database application?

    <p>When automatic updates of date and time are required.</p> Signup and view all the answers

    Which of the following represents a common application of SQL in the healthcare sector?

    <p>Storing and retrieving electronic medical records.</p> Signup and view all the answers

    What is the purpose of the LIKE operator in SQL?

    <p>To find records matching a specified pattern in string fields.</p> Signup and view all the answers

    Which SQL function would you use to find the number of characters in a car model?

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

    How would you modify a query to exclude records where the return date is null?

    <p>SELECT * FROM rentals WHERE NOT (returndate IS NULL);</p> Signup and view all the answers

    Which SQL syntax correctly demonstrates using a subquery?

    <p>SELECT * FROM cars WHERE carid IN (SELECT carid FROM rentals);</p> Signup and view all the answers

    Which of the following SQL commands correctly concatenates a customer's name and phone number?

    <p>SELECT CONCAT(CustomerName, ' ', CustomerPhone) AS FullContact FROM Customers;</p> Signup and view all the answers

    What is the effect of using the TRIM function in SQL?

    <p>To remove leading and trailing spaces from a string.</p> Signup and view all the answers

    Which statement about the RIGHT function is correct?

    <p>It extracts characters from the end of the string.</p> Signup and view all the answers

    In which clause can subqueries be effectively utilized?

    <p>Both WHERE and HAVING clauses.</p> Signup and view all the answers

    Which SQL command would you use to replace occurrences of 'S' with 's' in a customer name?

    <p>SELECT REPLACE(customer_name, 'S', 's') AS name FROM customer;</p> Signup and view all the answers

    Which SQL statement correctly retrieves the customer who has rented the most expensive car?

    <p>SELECT CustomerName FROM customers WHERE customerid = (SELECT customerid FROM rentals ORDER BY totalcost DESC LIMIT 1);</p> Signup and view all the answers

    What is the purpose of the correlated subquery in the provided SQL example?

    <p>To find employees whose salaries exceed the average salary of their respective departments.</p> Signup and view all the answers

    Which feature of Excel allows users to create relationships and analyze data from multiple tables?

    <p>Excel Data Model</p> Signup and view all the answers

    Why might one prefer using Excel as a database for small projects?

    <p>It allows for rapid prototyping and data exploration.</p> Signup and view all the answers

    When would you use a subquery in the SELECT clause?

    <p>To summarize total spending by customers as part of the output.</p> Signup and view all the answers

    What limitation does Excel have compared to a relational database management system (RDBMS)?

    <p>It lacks the ability to establish relationships between tables.</p> Signup and view all the answers

    Which query would correctly retrieve details of cars rented by customers who have rented more than twice?

    <p>SELECT * FROM cars WHERE carid IN (SELECT carid FROM rentals WHERE customerid IN (SELECT customerid FROM rentals GROUP BY customerid HAVING COUNT(*) &gt; 2));</p> Signup and view all the answers

    What is the primary characteristic of a flat-file database like Excel?

    <p>It operates through a single table or worksheet without relational capabilities.</p> Signup and view all the answers

    In the context of querying with subqueries, what does using the IN clause accomplish?

    <p>It limits the output to results matching certain values from another query.</p> Signup and view all the answers

    Study Notes

    Big Data

    • Data is crucial for decision-making in all business areas
    • Global data volume is projected to reach 175 zettabytes (ZB) in 2025, up from 2 ZB in 2010
    • Daily internet data generation is around 2,500,000 gigabytes
    • 90% of data generated in the last two years
    • 5 V's 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)
      • Value (statistical, events, correlations, hypothetical)

    Data Sources

    • Main sources include Facebook, Twitter, Instagram, and Internet of Things (IoT) devices
    • Twitter averages 500,000 tweets per minute
    • Instagram has 347,222 posts per minute
    • IoT involves 75 million connected devices generating data

    Data Storage

    • Less than 20% of global data stored in relational databases
    • 80% of global data unstructured (text, images, video)
    • Big Data is stored in big data architectures, cloud, and NoSQL databases
    • Different technologies needed for storing, processing, and analyzing large data volumes

    Storage Types

    • HDFS (Hadoop Distributed File System): used for storing large, distributed data where high redundancy (copies of data) required
    • Data Lake: A centralized repository for storing raw data for long-term analysis
    • NoSQL: flexible, fast and suitable for unstructured data
    • Relational (SQL): High consistency, suitable for well-structured data needing integrity

    Economic and Financial Data Sources

    • Several data sources available for economic and financial analysis
    • Data includes unemployment, demographic, and social statistics
    • Data sources encompass various categories including demography, economy, labor market, companies, society, and financial statistics
    • Data used across various fields such as government, stock markets, banking, and EU statistics
    • Government bodies and organizations provide data.

    Introduction to Databases

    • Databases needed for managing data efficiently across industries
    • Several types of databases exist; including E-commerce Platforms, Social Media Networks, Banking and Financial Services, Healthcare systems
    • Databases were initially limited in searching, retrieval and storage capability of large amounts of data
    • Database management systems are used to store and manage information, like paper, magnetic tapes, and electronic files.

    SQL and its Importance

    • SQL (Structured Query Language) is used to manage and manipulate relational databases
    • Key actions performed with SQL include creating, reading, updating, and deleting data.
    • SQL enables performance, data analysis and extracting meaningful insights from data.

    Main Data Types

    • Data types in SQL include integer, float/double, variable-length and fixed-length text, date, time and timestamp
    • SQL data types are essential for organizing and storing information within a database.

    Main Structures

    • Creating tables: involves defining data types (columns) and actual data (rows)
    • Selecting Records: retrieves data from tables using queries; can use JOINs to link data from different tables
    • Inserting Records: inserts new data into tables
    • Updating Records: changes existing data in tables using WHERE clauses to target specific data
    • Deleting Records: removes entries from tables; needs WHERE clauses for targeting

    Database Design and Joines

    • Database design involves defining the structure, storage, and retrieval mechanisms of data in a database system
    • Joins (INNER, LEFT OUTER, RIGHT OUTER) combine rows based on related columns.

    Subqueries

    • Subqueries are queries embedded within SQL queries for complex analysis, with conditions and selection for specific results

    Using Excel as DB

    • Excel used as a a flat-file database for simple datasets and quick analysis
    • Data can be structured using tables, rows and columns

    NoSQL

    • Non-relational databases (NoSQL) are meant for storing, retrieving, and maintaining non-tabular data
    • Useful for handling large data volumes, flexible data formats, and rapid iterations
    • Several types of noSQL databases cater to different data needs
      • Document stores (e.g., MongoDB), Key-value stores (e.g., Redis), and Graph databases (e.g., Neo4j).

    Power BI

    • Power BI used for data analysis and visualization, not primary storage
    • Can connect to various data sources as a way to explore and analyze relational data
    • A powerful tool for creating custom data applications.

    Relational Databases

    • Relational databases store data in tables with columns and rows.
    • Relationships link tables to prevent data loss and redundancy.
    • Relationships are established using keys (primary and foreign).

    Normalization

    • Normalization is used to eliminate data redundancy and ensure data consistency
    • Multiple Normal Forms (1NF, 2NF, 3NF) are used for structuring and organizing data.

    Other Topics

    • Various Data types, validation, use of functions etc.

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    Explore the essential concepts of Big Data, including its importance in decision-making across various business sectors. Delve into the 5 V's of Big Data, data sources, and storage solutions. Understand how data generation has evolved and the role of platforms like Facebook and Twitter in shaping this landscape.

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