Flight Delay Prediction using Azure Machine Learning
If you travel a lot, you’ve probably already experienced this – you’re in a hurry on your way to the … Read more
Data Pipelines
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.