On a high-level, ETL transforms your data before loading, while ELT transforms data only after loading to your warehouse.In this post, we’ll look in detail at the differences between how ETL and ELT work to help you identify which process is…
Continue reading ETL vs ELT: Understanding the Key Differences
If you’re collecting data in a warehouse, you may have come across many data sources and formats. To combine these many formats, you may need to go through the ETL process. In other words, you may need to extract data,…
If you’re working with data, you’ll often need to collect data from different sources and store it in various destinations. Whether your data transfer is a one-time task or a continuous process, you’ll need ETL (extract, transform, and load) to connect your…
Continue reading How to Use Singer for Your ETL Pipeline: Step-by-Step Tutorial
You’re probably reading this post because it’s time to choose a database, and you’re a little stuck. You may be leaning towards PostgresSQL and want to see how it stacks up against other databases, such as MariaDB.So, which one should…
Continue reading PostgreSQL vs MariaDB: Choosing the Right Database
One of the most critical steps in building a data warehouse or building a data lake is integrating your data sources into one format.Data integration is a crucial step, and it can be done using Extract, Transform, Load (ETL) or…
Continue reading ELT vs. ETL: Differences in Design and Architecture
