A hub-and-spoke data warehouse architecture pattern works by following a series of steps. First, the data from various sources is extracted, transformed, and loaded (ETL) into the hub.

This repository provides you cdk scripts and sample code to create an Amazon RDS zero-ETL integration with Amazon Redshift Serverless. An Amazon RDS zero-ETL integration with Amazon Redshift enables ...

Organizations must address fundamentals, like governance and visibility, to ensure long-term success with AI agents ...

For businesses that need data transformed near-instantly and fed back into source systems, consider an ETL tool with real-time processing and reverse ETL capabilities. Serverless architecture goes ...

The term “real time” is causing CIOs to rethink their data strategy and find ways to more seamlessly unify not just data, but ...

Project Overview Architecture and Design Technologies Used Project Setup Data Sources ETL Pipeline Stages Key Concepts. Architecture and Design We have used the Factory Pattern to design a flexible ...

Business happens in real time but many business systems don’t. It’s time to move past client-server databases, data warehouses, and batch processes. Businesses are 24/7. This includes ...

The ETL advantage: Power modern cloud data architecture. Navigating vast data sets and ensuring they’re ready for use is a daunting task for many companies. ETL solutions have redefined this process, ...

Specialization: Software Architecture for Big Data Instructor: Tyson Gern and Mike Barinek Prior knowledge needed: Software engineering or big data experience View on Coursera Learning Outcomes ...