What is ETL? - Extract Transform Load Explained - AWS
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).
AWS Glue concepts
Define ETL jobs with transformation scripts to move and process data. Run jobs on-demand or based on triggers. Monitor job performance using dashboards. The following diagram shows the architecture of an AWS Glue environment.
ETL and ELT design patterns for lake house architecture using …
Dec 13, 2019 · This post discussed the common use cases and design best practices for building ELT and ETL data processing pipelines for data lake architecture using few key features of Amazon Redshift: Spectrum, Concurrency Scaling, and the recently released support for data lake export with partitioning.
Reference architecture with the AWS Glue product family
The AWS Glue Data Catalog contains references to data that is used as sources and targets for your ETL jobs in AWS Glue. Data processing — The data is processed and transforms data that is transforming data and improving data quality, performing integrity checks, and so on.
What is AWS Glue? - AWS Glue - docs.aws.amazon.com
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.
Use a reusable ETL framework in your AWS lake house architecture
Aug 11, 2023 · In the pull-based ingestion, services like AWS Glue or AWS Lambda are used to pull data from sources like databases, APIs, or flat files into the data lake. In the push-based pattern, third-party sources can directly upload files into …
GitHub - aws-samples/aws-etl-orchestrator: A serverless architecture …
Let’s see how we can orchestrate such an ETL flow with AWS Step Functions, AWS Glue, and AWS Lambda. The following diagram shows the ETL orchestration architecture in action. The main flow of events starts with an AWS Step Functions state machine.
AWS Glue Tutorial for Beginners: Core Concepts - AWS for …
Jan 30, 2024 · AWS Glue is a fully managed ETL (extract, transform, load) service that utilizes a serverless architecture to simplify data integration processes. As a serverless service, AWS Glue automatically provisions the underlying infrastructure needed to handle ETL jobs, eliminating the need to manage servers or clusters.
Building a Serverless Streaming ETL Architecture on AWS Lambda
Dec 24, 2023 · In this article, we delve into constructing a serverless streaming ETL architecture tailored for analyzing Netflix viewing metrics. The surge in Netflix usage during the COVID-19 pandemic has...
aws-samples/aws-lambda-etl-ref-architecture - GitHub
This reference architecture demonstrates the use of AWS Step Functions to orchestrate an Extract Transfer Load (ETL) workflow with AWS Lambda. This solution processes the global air quality data, OpenAQ available in the AWS registry for open data.