Full Answer Section

• The potential for government overreach: The government could use this data to track individuals’ movements and activities without their knowledge or consent. This could pose a serious threat to individual privacy.
• The lack of transparency: The government is not always transparent about how it collects and uses private-industry data. This makes it difficult for individuals to know how their data is being used and to protect their privacy.
• The potential for abuse: The government could use this data for purposes other than those that were originally intended. This could include using the data to target individuals for surveillance or discrimination.

What is SQL?

SQL, or Structured Query Language, is a programming language used to manage data in relational databases. SQL statements are used to perform operations such as creating, inserting, updating, and deleting data. SQL is a declarative language, which means that you tell the database what you want to do, not how to do it. This makes SQL a very powerful and versatile language.

In which database model does it operate?

SQL operates in the relational database model. The relational database model is a way of organizing data in tables. Each table contains a set of related data, such as customer information or product inventory. The tables are linked together by common fields, such as customer ID or product code.

Why is it so popular?

SQL is popular because it is a very powerful and versatile language. It can be used to manage data in a wide variety of relational databases. SQL is also a relatively simple language to learn, which makes it accessible to a wide range of users.

Why is it not advisable to query data from transactional databases for executive decision making the same way you do data warehouses?

Transactional databases are designed to store and process data that is constantly changing. This makes them ideal for applications such as order processing and customer service. However, transactional databases are not designed for data analysis. The data in transactional databases is often not structured in a way that is easy to analyze. Additionally, the volume of data in transactional databases can make it difficult to run queries that require a lot of processing power.

Data warehouses are designed for data analysis. The data in data warehouses is typically structured in a way that is easy to analyze. Additionally, data warehouses are optimized for performance, which makes them ideal for running queries that require a lot of processing power.

For these reasons, it is not advisable to query data from transactional databases for executive decision making the same way you do data warehouses. If you need to analyze data from transactional databases, you should first copy the data to a data warehouse. This will ensure that the data is structured in a way that is easy to analyze and that the queries will run efficiently.