Dataconomy

JUNE 18, 2025

This ensures that all stakeholders have access to accurate and timely data, fostering collaboration and efficiency across departments. What is data integration? Data integration involves the systematic combination of data from multiple sources to create cohesive sets for operational and analytical purposes.

Data Warehouse 91

Data Warehouse Data Silos ETL Big Data 91

Flipboard

DECEMBER 6, 2023

The Q4 Platform facilitates interactions across the capital markets through IR website products, virtual events solutions, engagement analytics, investor relations Customer Relationship Management (CRM), shareholder and market analysis, surveillance, and ESG tools. Use case overview Q4 Inc.,

SQL 167

SQL Database AWS Machine Learning 167

phData

FEBRUARY 5, 2024

Replicate can interact with a wide variety of databases, data warehouses, and data lakes (on-premise or based in the cloud). Migrating Your Pipelines and Code It’s more than likely that your business has years of code being used in its data pipelines.

SQL 52

SQL Database Data Quality Data Warehouse 52

Hacker News

JULY 1, 2025

Never-ending data requests – because no one can find (or trust) the right query, engineers and analytics teams still get pinged for “one more pull.” You’ll own and work with everything from distributed queues and data lakes to prompt evaluation and agentic orchestration. Apply at hiring (-at-) artificialanalysis.ai

Python 93

Python AWS ML ML 93

AWS Machine Learning Blog

NOVEMBER 12, 2024

Discoveries and improvements across seed genetics, site-specific fertilizers, and molecule development for crop protection products have coincided with innovations in generative AI , Internet of Things (IoT) and integrated research and development trial data, and high-performance computing analytical services.

AWS 125

AWS AI AI Data Lakes 125