Do you use SQL or Python for data processing? Every data engineer will have their preference. Some will swear by Python, stating that it's a Turing-complete language. At the same time, the SQL camp will restate its performance, ease of understanding, etc. Not using the right tool for the job can lead to hard-to-maintain code and sleepless nights! Using the right tool for the job can help you progress the career ladder, but every advice online seems to be 'Just use Python' or 'Just use SQL.' U...| www.startdataengineering.com
Stream processing differs from batch; one needs to be mindful of the system's memory, event order, and system recovery in case of failures. However, understanding the fundamental concepts of time attributes, cluster memory, time-bounded joins, and system monitoring will enable you to build resilient and efficient streaming pipelines. If you are looking for an end-to-end streaming tutorial or a project to understand the foundational skills required to build streaming pipelines, this post is fo...| www.startdataengineering.com
Struggling to come up with a data engineering project idea? Overwhelmed by all the setup necessary to start building a data engineering project? Don't know where to get data for your side project? Then this post is for you. We will go over the key components, and help you understand what you need to design and build your data projects. We will do this using a sample end-to-end data engineering project.| www.startdataengineering.com