Databases, Tables & Calculators by Subject

Allow users to easily search multiple data sets at once. Users can search by keywords, filter specific topics, metrics, attributes, and extract specific data

This application requires a browser that supports JavaScript. Please select the necessary data from the BLS database in a simple single screen format

A form-based query application that can obtain BLS time series data based on selection

Link to the BLS download server. Considering the amount of data that can be extracted using any application available on the website, the download server is ideal for users who need large amounts of time series data.

The database contains data for all applications. The SQL database is like a series of excellent spreadsheets. Each table in the database is a table. The NoSQL database (like MongoDB) is like a Word document. This increases flexibility, but the relationship between management data can be more difficult. Each application includes some front end and back end. In a car, the rear end is the engine and the front end is the instrument panel (or the accelerator pedal). The dashboard accepts input from the user, converts it to an engine, and advances the car. In the application, the backend gets user input and stores it in the database and retrieves it.

Behind the scenes, there are many moves. Each data point entered is recorded in the database and may be recorded in various tables. Working hours Paid customers. Calculate the price payment period. Some data, such as time, is entered by the user, some of the dates and payment periods are in the background, and other data such as calculated rates and salaries are calculated on the spot at the time. By starting from the timeline, Adam could experiment by constructing something, and if it works, it will be useful for the company. Even if you do something bad, it will not break down the critical elements of your business. Probably more importantly, it is complex enough to understand the process of designing and building software applications.

Relational databases are a type of database used in many modern applications. Relational database data is organized in separate tables containing records of similar nature. Each table defines a series of columns describing the stored records and you can reliably access and update those records. Data stored in separate tables can be linked to each other based on clearly defined relationships and these relationships allow for flexibility in presenting, using, and maintaining data.

Relational databases store data in tables. The table grows and you can have multiple columns and records. The relational database management system (RDBMS) uses SQL (and variants of SQL) to manage the data in these large tables. Depending on the complexity of the application, please select the RDBMS to use.