Extract, transform, and load (ETL) is the process of combining data from multiple sources into a large, central repository called a data warehouse. ETL uses a set of business rules to clean and organize raw data and prepare it for storage, data analytics, and machine learning (ML).

2025年4月3日 · Get AI-powered help throughout your data integration journey—from automatically generating ETL code to modernizing your Spark jobs. AWS Glue provides intelligent code generation, AI-assisted Spark upgrades (preview), and built-in …

With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

2024年12月19日 · AWS Glue is a fully managed ETL service that makes it simple and cost-effective to categorize our data, clean it, enrich it, and move it reliably between various data stores. AWS Glue is used to prepare data from different sources and prepare that data for analytics, machine learning, and application development.

On the Amazon Web Services (AWS) Cloud, AWS Glue is a fully managed serverless environment where you can extract, transform, and load (ETL) data at scale. With AWS Glue, you can categorize data, clean it, enrich it, and move it reliably across various data stores and streams in a cost-effective manner.

AWS Glue runs your ETL jobs in a serverless environment with your choice of engine, Spark or Ray. AWS Glue runs these jobs on virtual resources that it provisions and manages in its own service account.

Both extract, transform, and load (ETL) and extract, load, and transform (ELT) are sequences of processes that prepare data for further analysis. They capture, process, and load data for analysis across three steps. Extraction is the first step of both ETL and ELT. This step is about collecting raw data from different sources.

2023年12月17日 · In this step-by-step guide, we’ll embark on a journey to construct a robust ETL pipeline using AWS Glue, Amazon’s fully managed extract, transform, and load service. As organizations...

2025年3月17日 · AWS Glue Studio: AWS data engineers can also use AWS Glue Studio to create, run, and monitor ETL pipelines that are used to load data into data lakes. They should also understand the AWS data pipeline vs. AWS Glue proposes that the AWS data pipeline focuses on designing data workflows while AWS Glue focuses more on managing ETL tasks.

2023年10月4日 · In this article, I’ll introduce you to AWS Glue, a powerful tool for building serverless ETL pipelines. I’ll guide you through the process step by step, highlighting its key features and...