Dataconomy

JUNE 18, 2025

Common use cases for data integration Data integration demonstrates its value across a variety of applications. Feeding data for analytics Integrated data is essential for populating data warehouses, data lakes, and lakehouses, ensuring that analysts have access to complete datasets for their work.

Data Warehouse 91

Data Warehouse Data Silos ETL Big Data 91

Hacker News

JULY 1, 2025

You’ll own and work with everything from distributed queues and data lakes to prompt evaluation and agentic orchestration. Designing AI data pipelines to process billions of data points. Designing a next-generation backend architecture that will support our growth for the years to come.

Python 78

Python AWS ML ML 78

phData

FEBRUARY 5, 2024

Qlik Replicate Qlik Replicate is a data integration tool that supports a wide range of source and target endpoints with configuration and automation capabilities that can give your organization easy, high-performance access to the latest and most accurate data.

SQL 52

SQL Database Data Quality Data Warehouse 52

AWS Machine Learning Blog

NOVEMBER 12, 2024

Agmatix’s technology architecture is built on AWS. Their data pipeline (as shown in the following architecture diagram) consists of ingestion, storage, ETL (extract, transform, and load), and a data governance layer. AWS Glue accesses data from Amazon S3 to perform data quality checks and important transformations.

AWS 122

AWS AI AI Data Lakes 122