Getting started with SQL query engines
In the world of big data, the way we store and analyze data has undergone a significant transformation. Traditional data warehouses, which were once the go-to solution for data analysis, have given way to more modern and scalable approaches, such as SQL query engines. These engines, such as Trino (formerly known as Presto), Dremio, and Apache Spark SQL, offer a high-performance, cost-effective, and flexible alternative to traditional data warehouses.
Next, we are going to see the main differences between data warehouses and SQL query engines.
The limitations of traditional data warehouses
Traditional data warehouses were designed to store and analyze structured data from relational databases. However, with the advent of big data and the proliferation of diverse data sources, such as log files, sensor data, and social media data, the limitations of data warehouses became apparent. These limitations include the following:
- Scalability...
