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Node.js   has emerged as a popular choice for building modern   web applications   and   APIs . As an open-source, cross-platform JavaScript runtime environment, Node.js allows developers to use JavaScript for server-side scripting, creating dynamic web pages, and building full-fledged applications. We'll dive into the architecture and best practices for  Node.js app development , covering the entire software development life cycle (SDLC). The Node.js App Development Architecture: The architecture of a  Node.js application   typically follows a modular and event-driven design. Here are the key components of a Node.js app architecture: Single-Threaded Event Loop:  Node.js operates on a single-threaded event loop that handles multiple client requests. This approach contrasts with traditional server models that create a new thread for each client request, reducing the overhead associated with thread creation. Node.js Runtime:  The Node.js runtim...

Testing prices are done to arrive at the appropriate or best price point—the difference that could change how the sales and profits go, in a very competitive   e-commerce   marketplace. Proper price testing would result in higher conversion rates, increased revenues from sales, and more loyal customers for a   Prestashop store   owner. WHAT IS PRICE TESTING? Price testing, also known as price optimization, is the process of experimenting with different pricing strategies to determine the most effective price point for a product. This involves testing various prices to see how changes impact sales, revenue, and customer behavior. The goal of price testing is to find the price that maximizes profit while maintaining a competitive edge in the market. WHY IS PRICE TESTING IMPORTANT FOR PRESTASHOP STORES? PrestaShop  is a popular e-commerce platform that allows store owners to customize and manage their online stores effectively. For Prestashop Store Owners, Price Te...

  One of the most prevalent data integration approaches is ETL (Extract, Transform, Load), which involves extracting source data from multiple locations, transforming it into the required format, and loading it into the target system. In this post, we'll look at  data integration  utilizing an ETL approach and its usefulness for businesses. What is Data Integration in ETL? Data integration in ETL   refers to the process of combining data from various sources, transforming it into a unified format, and loading it into a target destination, typically a data warehouse or a data mart. ETL forms a critical part of the data integration process, ensuring that data is extracted from multiple sources, transformed to meet specific requirements, and loaded into the desired destination for analysis and reporting. Organizations now deal with a wide range of data sources, including on-premises  applications ,  cloud services ,  social media ,  Internet of Thing...