Podcast
Questions and Answers
What type of analysis focuses on understanding how data changes over a specific period?
What type of analysis focuses on understanding how data changes over a specific period?
Which of the following is NOT a focus area of statistical data provided by the INE?
Which of the following is NOT a focus area of statistical data provided by the INE?
What aspect does comparative analysis study in the context of statistical data?
What aspect does comparative analysis study in the context of statistical data?
Which organization provides a comprehensive range of financial data and statistics?
Which organization provides a comprehensive range of financial data and statistics?
Signup and view all the answers
What type of data is typically included in the demographic and population statistics offered by INE?
What type of data is typically included in the demographic and population statistics offered by INE?
Signup and view all the answers
Which of the following best describes the purpose of a primary key in a database?
Which of the following best describes the purpose of a primary key in a database?
Signup and view all the answers
What SQL command would you use to remove all records from a table without deleting the table itself?
What SQL command would you use to remove all records from a table without deleting the table itself?
Signup and view all the answers
Which SQL data type is most appropriate for storing a precise financial amount like 123.45?
Which SQL data type is most appropriate for storing a precise financial amount like 123.45?
Signup and view all the answers
In SQL, what does NOT NULL signify when defining a table column?
In SQL, what does NOT NULL signify when defining a table column?
Signup and view all the answers
What is the primary benefit of using foreign keys in a relational database?
What is the primary benefit of using foreign keys in a relational database?
Signup and view all the answers
When is the TIMESTAMP data type particularly useful in a database application?
When is the TIMESTAMP data type particularly useful in a database application?
Signup and view all the answers
Which of the following represents a common application of SQL in the healthcare sector?
Which of the following represents a common application of SQL in the healthcare sector?
Signup and view all the answers
What is the purpose of the LIKE operator in SQL?
What is the purpose of the LIKE operator in SQL?
Signup and view all the answers
Which SQL function would you use to find the number of characters in a car model?
Which SQL function would you use to find the number of characters in a car model?
Signup and view all the answers
How would you modify a query to exclude records where the return date is null?
How would you modify a query to exclude records where the return date is null?
Signup and view all the answers
Which SQL syntax correctly demonstrates using a subquery?
Which SQL syntax correctly demonstrates using a subquery?
Signup and view all the answers
Which of the following SQL commands correctly concatenates a customer's name and phone number?
Which of the following SQL commands correctly concatenates a customer's name and phone number?
Signup and view all the answers
What is the effect of using the TRIM function in SQL?
What is the effect of using the TRIM function in SQL?
Signup and view all the answers
Which statement about the RIGHT function is correct?
Which statement about the RIGHT function is correct?
Signup and view all the answers
In which clause can subqueries be effectively utilized?
In which clause can subqueries be effectively utilized?
Signup and view all the answers
Which SQL command would you use to replace occurrences of 'S' with 's' in a customer name?
Which SQL command would you use to replace occurrences of 'S' with 's' in a customer name?
Signup and view all the answers
Which SQL statement correctly retrieves the customer who has rented the most expensive car?
Which SQL statement correctly retrieves the customer who has rented the most expensive car?
Signup and view all the answers
What is the purpose of the correlated subquery in the provided SQL example?
What is the purpose of the correlated subquery in the provided SQL example?
Signup and view all the answers
Which feature of Excel allows users to create relationships and analyze data from multiple tables?
Which feature of Excel allows users to create relationships and analyze data from multiple tables?
Signup and view all the answers
Why might one prefer using Excel as a database for small projects?
Why might one prefer using Excel as a database for small projects?
Signup and view all the answers
When would you use a subquery in the SELECT clause?
When would you use a subquery in the SELECT clause?
Signup and view all the answers
What limitation does Excel have compared to a relational database management system (RDBMS)?
What limitation does Excel have compared to a relational database management system (RDBMS)?
Signup and view all the answers
Which query would correctly retrieve details of cars rented by customers who have rented more than twice?
Which query would correctly retrieve details of cars rented by customers who have rented more than twice?
Signup and view all the answers
What is the primary characteristic of a flat-file database like Excel?
What is the primary characteristic of a flat-file database like Excel?
Signup and view all the answers
In the context of querying with subqueries, what does using the IN clause accomplish?
In the context of querying with subqueries, what does using the IN clause accomplish?
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
JOIN
s 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.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Related Documents
Description
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.