https://diogo-dantas.github.io/tags/etl/Recent content in ETL on D i o g o D A T AHugo -- gohugo.ioenThu, 20 Feb 2025 06:00:10 +0600https://diogo-dantas.github.io/posts/data-viz/power-bi/dash-vendas/Thu, 20 Feb 2025 06:00:10 +0600https://diogo-dantas.github.io/posts/data-viz/power-bi/dash-vendas/<p>In a highly competitive sector such as electronics, efficient analysis of sales and returns data is essential for improving processes and boosting store performance. For a fictitious chain of stores, I created a Power BI dashboard with the aim of providing a clear and dynamic view of this data, helping to make more strategic decisions.</p> <p>The main task was to transform raw sales and returns data into valuable, strategic information. To do this, I used Power Query in the ETL (Extract, Transform and Load) process from files in XLSX format. This work included detailed cleaning and normalization of the data, structuring it efficiently for analysis.</p>https://diogo-dantas.github.io/posts/etl/python/etl-simplificado/Fri, 20 Sep 2024 06:00:23 +0600https://diogo-dantas.github.io/posts/etl/python/etl-simplificado/<p>In today&rsquo;s dynamic business environment, integrating and analysing data from multiple sources is essential for making informed decisions. In many industries, such as finance, logistics or marketing, it is common to receive data files in a variety of formats, including CSV, XML and JSON. These files can contain valuable information, but their dispersion and variety of formats make processing and analysis a significant challenge.</p> <p>One of the challenges in this scenario is the need to consolidate information from multiple files into a single format that can be easily imported into a database, for example. The task becomes even more critical when considering the need to maintain data integrity and consistency during this compilation process.</p>