In the world of Data Engineering, the way we handle data workflows plays a crucial role in achieving real-time processing and improved efficiency. Traditional poll-based architectures, where systems continuously check for data updates, can be resource-intensive and introduce delays in processing. …

In the world of Data Engineering, the timely delivery of data is crucial for ensuring smooth data processing and preventing downstream failures. In this article, we will explore a real-life business problem where the source team consistently sent data files with delays, leading to frequent failures in dependent downstream jobs…

Lost in Cloud Storage Options? Let’s Find Your Way Through the Cloud Jungle! Choosing the best cloud storage service depends on the specific needs and requirements of your business or project. Here are some factors to consider when making your decision: Data type: Consider the type of data you will…

👨🏻‍💻 Want to level up your Snowflake ❄️ game this weekend? Dive into these 7 free projects: Generic Job to load the data from s3 to Snowflake Internal Table Loading data from External Stage to Snowflake Internal Table is a very common & frequent activity across diff. teams, let’s automate…

When Data Engineers receive data from different data sources, the first thing they do is transform it into a format that can be used for analysis or reporting. …

Data has become a pivotal asset for all businesses but it can prove useless if it isn’t leveraged effectively. That’s where data engineering comes in. It lays down the foundation for data science applications by preparing raw data for collection and analysis. It’s a booming career right now and one…