Are you tired of spending hours manually creating data sources for your projects? Say goodbye to tedious and time-consuming tasks with the power of SQL queries. With this innovative approach, you can streamline the data source creation process and focus on what really matters: analyzing and leveraging your data. Let’s dive into the world of low-code SQL queries and explore how they can revolutionize how you work with data. Get ready to boost your workplace productivity and take your data analysis skills to the next level!
“He is on leave?” Aditya got nervous when he learned that Vishal was on leave, a data warehouse developer who manages the data. Aditya joined the startup one month ago. The warehouse has received an order, and the company and stakeholders wanted to know the product’s exact quantity and product location.
Aditya nervously called Vishal for help, and Vishal asked him only two questions; first “Do you know SQL programming?” Aditya said Yes, I do
The second question was, “So why are you not using Quixy” Aditya suddenly felt relief and said I’d submit the data soon. Aditya gathered all the data available and created a centralized data view to store all the information.
Aditya knows how powerful SQL queries are and knows they help you find data in minutes by writing code. This feature can save anyone’s precious time. He remembers his Manager saying, “SQL queries can be used to extract data for various purposes; it provides a secure and efficient way to manage and view data stored in databases, making them a key tool for data management and analysis.” Let’s see how the Quixy SQL query helps Aditya find his data.
Also Read: Revolutionize Your Workflow with Quixy’s Session Management
Aditya now has two data tables, one of which is the master table which contains essential data, while the other contains transactional data.
Table 1- Master table
|Item Code||Item Name||Available Qty||Shelf Number|
|1001||B-Box C17||50||Level A- 1.3|
|1002||Coffee table||20||Level C- 3.1|
|1003||Tech- Logi G3||40||Level A- 1.8|
Table 2- Quantity table
|Order Id||Item Name||Required Qty||Item Coder|
|203||Tech- Logi G3||20||1003|
Let’s take a closer look at how Aditya manages his database with SQL queries and share some practical steps you can follow to do the same.
Watch Webinar: Sneak peek at the all-new Data Source with Low Code capabilities
Select the option query to create the data source using SQL queries.
Start your coding and write the table names and the formulas you want in your code to get an accurate result and map your fields accordingly.
Preview your data by clicking on Preview your data.
Here is your data, exactly how you want and what you want.
Aditya believes there is no limit to how you manage your data view with just a few lines of code. Type your code with the data table and see the magic. It provides flexibility to use various factors, such as filtering, sorting, grouping, and joining, to extract data from one or more tables in a database. Can’t agree more with this.
SQL queries are made to be quick and effective when dealing with large datasets. They are perfect for working with complex databases because they can quickly extract and manage data.
SQL queries can be changed to meet specific requirements. Users can filter, sort, group, and aggregate data in several different ways to accomplish their objectives. Come on, bring your demand to the table, why fear when SQL queries are here?
Also Read: Learn How Quixy’s Document Parser Can Transform Your Document Processing in Minutes!
He remembers Vishal mentioning some use cases of SQL; let us take a look.
Wants to keep track of goods you have? SQL queries can retrieve product availability, sales statistics, and product movement information from inventory data. Businesses can strengthen their inventory management procedures by analyzing this data to find patterns and trends.
Who is on leave? The data on employee sick leave, vacation time, and other types of withdrawal can be retrieved using SQL queries. This information can be used to track leave taken by employees, and verify that they are following company policies.
Trust me; you do not want to take any risk here. SQL queries can be used to extract data on employee hours worked, pay rates, and deductions for payroll processes. After that, this data can be analyzed to generate payroll reports and calculate paychecks.
Watch Webinar: Experience Data Transformation with Quixy’s Modern Data Source
Aditya, a data warehouse engineer, has to deal with a lot of data, he can’t avoid it, but he can control the process by keeping it easy to understand and concise. By using SQL queries, he retrieved data quickly and analyzed how they can manage the shelf location of other products. He can now rapidly and systematically retrieve accurate data from a large amount of information. Aditya believes in innovative work, and his understanding of the power of SQL queries with Quixy made his work easier.
Would you like to experience the power of Quixy’s no-code platform and revolutionize the way you manage your processes? Sign up now for our free trial and get 14 days of unlimited access to all the features and tools that Quixy has to offer.
Check out what your Automation Report Card reveal!