Tag: ETL

ETL vs ELT vs Streaming ETL

Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) are two fundamental concepts in the context of data processing, used to describe data ingestion and transformation design paradigms. While these terms are often used interchangeably, they refer to slightly different concepts and are a...

Building ETL Job: Transferring Data from MySQL to Redshift using Python

Extract, Transform, Load (ETL) is a data pipeline process that involves extracting data from a source system, transforming it in some way, and then loading it into a target system. In this article, we’ll demonstrate how to build an ETL job that extracts data from a MySQL database and loads it ...

Auto Loader — Handling Incremental ETL with Databricks

Data Handling is one of the crucial segment of any Data related job as proper data planning drives into results which led to efficient and economical storage, retrieval, and disposal of data. When it comes to Data Engineering profile, Data Loading (ETL) plays an equivalent role too. Data Loading ...

Kaggle-Databricks-Snowflake: End-to-End Hands-on ETL demo

There has been a notable shift in focus, primarily towards the collection and storage of data, due to advancements in artificial intelligence and machine learning. The goal is to gather as many data points as possible. But it’s crucial to understand that data collection is just the tip of the ...