You may need to develop an ETL process because it offers an answer to a couple of fundamental business problems: These disconnected storages lead to such complexities as random errors in the code and data inconsistencies. ![]() The necessity in ETL design and development has risen from the business need to obtain reliable reporting from the disjoined data storage systems of multiple company’s applications, such as ERP, PLM, CRM, MES, etc. This process is known for its complexity and resource consumption, so why does your business need it? Why do you need ETL When building an ETL platform and infrastructure, you should first choose from which source to integrate data, then carefully plan and test its transformation. As a result, ETL reduces the size of the data and improves the quality of its analysis. Raw data is extracted from different source systems and loaded into the data warehouse (DWH) during transformation. The traditional ETL process consists of 3 stages: extract, transform, load. What is ETLĮTL is an automated data optimization process that converts data into a digestible format for efficient analysis. In this article, we will look at the ETL concept, study the best ETL software development practices and tools, and show you how to create an ETL process step by step. Among the many tools that can help you build an appropriate data workflow to possess reliable information, ETL acts as the missing piece of the puzzle. So work with data must be organized to produce the desired result. The bigger the company is, the more it’ll pay for the wrong decision. ![]() It’s not just a requirement, it’s the condition for performing high-quality analysis and making weighted business decisions. The information must be accurate, up-to-date, fast and easily accessible.
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