Transportation and Logistics: Timeliness is a very important characteristics in the transportation industry, and by integrating data from disparate sources, such as GPS tracking, supply chain management systems, and shipping schedules, you enable businesses to optimize shipping routes, improve delivery times, reduce costs, and improve overall customer experiences. Education: This sector is critical to the development of every nation, and by using ETL to bring data from various sources such as student records, learning management systems (LMS), and assessment tools, we can gain insights into students’ performance, identify areas for improvement, and provide personalized learning experiences.Ĥ. ETL assists in the integration of data from POS systems, e commerce platforms, and customer relationship management (CRM) systems in order to gain insights into customer actions, optimize inventory management, and improve sales performance.ģ. Retail: Due to the large number of retail stores and outlets, both offline and online, which can be formal or informal, the retail industry is extremely competitive. Healthcare: ETL can be used in healthcare to integrate data from various sources such as electronic health records (EHRs), medical devices, and other sources in order to provide healthcare practitioners and providers with a comprehensive view of their patients’ health and improve their outcomes.Ģ. Business Intelligence: Bringing data from various sources and transforming it correctly can provide executives and business leaders with consistent stream of insights, particularly when the process is automated.ĮTL can be used in industries or sectors where data integration from multiple sources is critical. In this case, ETL can assist in migrating data from these systems to more modern applications or databases for more efficient use.Ĥ. Legacy System Integration: Legacy systems are obsolete forms of hardware or software that cannot interact with modern applications but are still useful for day-to-day operations. Data Quality: With varying and different data in various data sources, ETL provides the benefit of preserving or ensuring data quality by removing duplicates, correcting errors, and standardizing data across the board.ģ. ETL is needed to ensure that the data uploaded is correct.Ģ. This is particularly useful when a company wants to move data from an on-premise location to the cloud. Data Migration: ETL can help organizations move or migrate data from one platform to another. Following this procedure will ensure that the transformed data is properly stored and accessible to other applications and end users.ĮTL is important for the following reasons:ġ. If errors occur during this process, they can be corrected and the data reloaded, or they can be logged and reviewed later.Īfter the data has been loaded, it can be verified that it has been loaded correctly, which includes data validation to ensure that the data is accurate and complete. This is followed by mapping the schema to the target database, after which the actual loading can begin. This also includes the columns and data types that will be used to store the data. The schema creation process follows, which involves creating the structure of the database tables that will hold the data. A relational database management system, a data warehouse, or any other data storage solution can be used. This procedure consists of several steps, the first of which is determining the target source or destination. Here, the cleaned and transformed data is loaded onto the target source. The final stage or process in ETL is the loading phase. Additionally, we will review why ETL is needed, where it can be used, and the most popular tools used by individuals and corporation to carry out this process. In this article, we will explore ETL, especially what goes on at each stage of the process. ETL, in full, Extract, Transform, and Load, is a process through which this can be achieved. And the custodians of the majority of this data such as social media companies, and big tech corporations need to find efficient and effective ways to move these data from one point to another, without breaking the system. This goes to show the vast amount of data being generated by billions of internet users everyday. Statistics from 2023 says that about: 3.5 quintillion bytes of data is created per day, 5 billion Snapchat videos and photos are shared per day, 333.2 billion emails are sent per day, Skype has 3 billion minutes of calls per day Data and Information produced globally on a daily basis are growing at a very fast rate.
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