A data pipeline is a set of processes and tools that are used to ingest, transform, and transport data from one location to another. Data pipelines are commonly used in data engineering and data science applications, where they are used to move data from various sources, such as databases, sensors, or web APIs, to a central location for storage and analysis. Data pipelines typically involve a series of steps, such as extracting data from the source, cleaning and transforming the data, and loading it into the destination. This can be done using a variety of tools and technologies, such as ETL (extract, transform, load) tools, data lakes, and data warehouses. Data pipelines are designed to be scalable, efficient, and reliable, and are an important part of any data-driven organization.
If you travel a lot, you’ve probably already experienced this – you’re in a hurry on your way to the airport trying to catch a flight, only to find out that your flight is delayed. Wasn’t it great to know when a flight will be delayed in advance? We can use past flight delay data … Read more
