Podcast
Questions and Answers
What type of analysis focuses on how data changes over a specific time period?
What type of analysis focuses on how data changes over a specific time period?
Which data source offers information on demographics, economy, and society in Spain?
Which data source offers information on demographics, economy, and society in Spain?
Which of the following is NOT an aspect of the data provided by INE?
Which of the following is NOT an aspect of the data provided by INE?
What type of analysis is used to compare data between different regions or groups?
What type of analysis is used to compare data between different regions or groups?
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Which ministry in Spain provides a range of financial data and statistics?
Which ministry in Spain provides a range of financial data and statistics?
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Which operator is used for pattern matching in strings?
Which operator is used for pattern matching in strings?
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What does the function LENGTH do in SQL?
What does the function LENGTH do in SQL?
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Which of the following SQL statements uses a logical operator?
Which of the following SQL statements uses a logical operator?
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What is the purpose of a subquery in SQL?
What is the purpose of a subquery in SQL?
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What does the function TRIM do in SQL?
What does the function TRIM do in SQL?
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What is the primary definition of 'Velocity' in the context of Big Data?
What is the primary definition of 'Velocity' in the context of Big Data?
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Which of the following is NOT one of the 5 Vs of Big Data?
Which of the following is NOT one of the 5 Vs of Big Data?
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What percentage of global data is stored in Relational Databases?
What percentage of global data is stored in Relational Databases?
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What is the primary characteristic of Data Lakes?
What is the primary characteristic of Data Lakes?
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What is a common use of HDFS (Hadoop Distributed File System)?
What is a common use of HDFS (Hadoop Distributed File System)?
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Which platform generates the highest number of posts per minute?
Which platform generates the highest number of posts per minute?
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Which of these best describes the concept of 'Veracity' in Big Data?
Which of these best describes the concept of 'Veracity' in Big Data?
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What amount of data is expected to be generated globally by 2025?
What amount of data is expected to be generated globally by 2025?
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What types of relationships does Excel support?
What types of relationships does Excel support?
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Which method can help maintain data integrity in Excel?
Which method can help maintain data integrity in Excel?
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What is the main purpose of normalization in databases?
What is the main purpose of normalization in databases?
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Which function can be used in Excel to simulate a basic JOIN operation in SQL?
Which function can be used in Excel to simulate a basic JOIN operation in SQL?
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What is one limitation of VLOOKUP in Excel?
What is one limitation of VLOOKUP in Excel?
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Which technique does NOT relate to basic normalization in Excel?
Which technique does NOT relate to basic normalization in Excel?
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Why is referential integrity not enforced in Excel relationships?
Why is referential integrity not enforced in Excel relationships?
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What feature can be used in Excel to highlight potential errors in data?
What feature can be used in Excel to highlight potential errors in data?
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What does the subquery SELECT customerid FROM rentals ORDER BY totalcost DESC LIMIT 1
accomplish?
What does the subquery SELECT customerid FROM rentals ORDER BY totalcost DESC LIMIT 1
accomplish?
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In the query SELECT carid FROM rentals WHERE customerid IN (SELECT customerid FROM rentals GROUP BY customerid HAVING COUNT(*) > 1)
, what is being retrieved?
In the query SELECT carid FROM rentals WHERE customerid IN (SELECT customerid FROM rentals GROUP BY customerid HAVING COUNT(*) > 1)
, what is being retrieved?
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Which of the following best describes the purpose of a correlated subquery?
Which of the following best describes the purpose of a correlated subquery?
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What is a primary limitation of using Excel as a flat-file database?
What is a primary limitation of using Excel as a flat-file database?
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Which function of Excel's Data Model allows users to analyze related data?
Which function of Excel's Data Model allows users to analyze related data?
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What does the SELECT total_amount FROM Orders WHERE Orders.customer_id = Customers.customer_id
subquery calculate?
What does the SELECT total_amount FROM Orders WHERE Orders.customer_id = Customers.customer_id
subquery calculate?
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What is the main advantage of using a flat-file database like Excel?
What is the main advantage of using a flat-file database like Excel?
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Which of the following queries selects employees with a salary above the average salary of their department?
Which of the following queries selects employees with a salary above the average salary of their department?
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What is a key feature of PowerBI Desktop?
What is a key feature of PowerBI Desktop?
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How does PowerBI Service differ from PowerBI Desktop?
How does PowerBI Service differ from PowerBI Desktop?
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Which of the following statements accurately describes relational databases?
Which of the following statements accurately describes relational databases?
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What is NOT a primary use of PowerBI?
What is NOT a primary use of PowerBI?
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What role does AI play in Power Apps?
What role does AI play in Power Apps?
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What technology does Neo4j AuraDB utilize?
What technology does Neo4j AuraDB utilize?
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What feature is a crucial aspect of the data analysis conducted using PowerBI?
What feature is a crucial aspect of the data analysis conducted using PowerBI?
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Which step is NOT included in building an app with Power Apps?
Which step is NOT included in building an app with Power Apps?
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Study Notes
Big Data
- Data is crucial for decision-making in all business aspects
- In 2025, the world is predicted to generate 175 zettabytes (ZB) of data (1 ZB = 1 billion gigabytes)
- Daily internet user data generation is around 2.5 million gigabytes
- 90% of all data was generated in the past 2 years
5Vs of Big Data
- Velocity: Batch, near real-time, real-time, and streaming data
- Variety: Structured, unstructured, and semi-structured data
- Volume: Terabytes, petabytes, and zettabytes of data
- Veracity: Dependability, authenticity, source, and reputation
- Value: Statistical analysis, links, correlations, and potential value
Sources of Data
- Twitter (500,000 tweets per minute)
- Instagram (347,222 posts per minute)
- IoT devices (75 million connected devices producing data) - sensors
Data Storage
- Less than 20% of global data is stored in relational databases
- 80% of global data is unstructured (text, images, and videos)
- Big Data Architectures, cloud storage, and NoSQL databases are used
Data Storage in HDFS
- Data is divided into blocks (128 MB or 256 MB)
- Distributed across multiple servers
- Provides redundancy (data copies) for fault tolerance
Data Lakes
- Centralized repository for diverse data (structured, semi-structured, and unstructured)
- Stores raw data without transformation
- Suitable for long-term analysis, where the type of analysis isn't known yet
Economic and Financial Data Sources
- INE: Statistical data on economic, demographic, and social aspects (reports, databases, interactive tools)
- Ministry of Economy, Trade, and Enterprise: Data on the Spanish economy, public finances, labor market, and trade balance
- Spanish Government: Statistics, and data
- Madrid Stock Market: Market interest rate statistics
- European Statistical Office (EUROSTAT): High-quality statistics
- World Bank: Data on global development
- International Monetary Fund (IMF): Data on macroeconomic and financial aspects
Introduction to Databases
- Databases are crucial for efficient data management across various industries
- E-commerce platforms, social media, banking, healthcare, and education use databases
- Before databases, data was stored using paper, magnetic tapes, books, etc. This was limited in terms of search, integrity, and scalability
Evolution of Databases
- 1970s: Entity-Relationship (ER) Model introduced
- 1980s: Relational Database Management Systems (RDBMSs) like Oracle and DBMS/SQL were introduced
- 1990s: NoSQL databases and data mining emerged
Basic Concepts of Databases
- Databases organize related data into tables of rows and columns
- Tables contain data about people, products, orders, etc.
- Relationships connect tables for complex queries
SQL (Structured Query Language)
- Common language for managing and manipulating relational databases
- Database interaction is standardized
- Queries for data retrieval, insertion, update, and deletion are possible
Main Data Types in SQL
- INT: Whole Numbers (e.g., 42)
- FLOAT: Floating-point numbers (3.14)
- DOUBLE: Double-precision floating-point numbers (2.71828)
- DECIMAL (p, s): Fixed-point numbers with precision and scale (e.g., 123.45)
- VARCHAR (n): Variable-length text (e.g., "John Doe")
- CHAR (n): Fixed-length text (e.g., 'A')
- TEXT: Large amounts of text
- DATE: Date values (e.g., 2024-07-09)
- TIME: Time values (e.g., 14:30:00)
- DATETIME: Date and time values (2024-07-09, 14:30:00)
- TIMESTAMP: Automatically updated date and time values
- BLOB: Binary Large Object (e.g., binary data)
- BOOLEAN: True/False values (TRUE or FALSE)
Subqueries in SQL
- Queries nested inside another query
- Used to get more complex results from databases
- Used in
SELECT
,FROM
,WHERE
,HAVING
clauses - Retrieves the names of customers who have rented the most expensive car and other examples
Using Microsoft Excel as a Database
- Excel works as a flat-file database for smaller datasets
- It manages data in a single table
- Relationships for analyzing related data are possible
NoSQL Databases
- Non-relational databases (schema-less)
- Handle diverse data types (structured, semi-structured, unstructured)
- Suitable for big data and scalability
Document Stores
- Stores data as documents (e.g., JSON)
- Documents in the same collection can have diverse fields and structures
- Useful for flexible schemas and varied data
- Example use is storing articles on a news website with details like title, body, author, tags, and date
Graph Databases
- Represent data as nodes connected by relationships
- Efficient for scenarios with complex relationships, such as social networks, recommendations, and IT operations
- Example use is social media for connecting friends, messages, and liking
Neo4j Products
- Neo4j Desktop: Development environment for Neo4j databases
- Neo4j Bloom: Graph visualization and exploration tool
- Neo4j Graph Data Science Library: Algorithms for data analysis
- Neo4j AuraDB: Fully managed graph database hosted on Google Cloud Platform (GCP)
PowerBI as a Database Tool
- PowerBI Desktop: Personal use. For reports and dashboards
- PowerBI Service: Cloud-based platform for collaboration (less functionalities)
Relational Databases
- Data organized in tables with rows and columns
- Tables are related, allowing complex queries
Normalization
- Process of structuring data for optimal performance in relational databases
- Organizes data to avoid data redundancy and maintain accuracy
Database Design
- Process of creating a database structure for storing and retrieving data
- Includes defining tables, fields, data types, and relationships for data organization and efficiency.
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Description
Test your knowledge on various types of data analysis and SQL functions in this informative quiz. Questions cover topics such as demographic data in Spain, pattern matching, and the characteristics of Big Data. Perfect for anyone looking to strengthen their understanding of data science concepts!