#data-integration

#data-integration

A metadata-driven ETL framework enhances scalability and security in integrating various data sources through Azure Data Factory, reducing manual rework.

DuckDB provides a powerful, seamless way to manage large datasets in Python, utilizing OLAP optimization for enhanced data handling and query capabilities.

"Relay42 helps businesses to turn siloed customer data into personalised customer journeys that drive business growth..."

If a user asks a follow-up question within AI Mode, they are essentially performing a new query. All impression, position, and click data in the new response are counted as coming from this new user query.

Inserting Excel data into Word can streamline document preparation, ensuring that data is organized and maintains a professional appearance with integrated updates and features.

The new integration of GTM enrichment product Clay and the Gong Revenue AI Platform is the beginning of a shift in how we think about account intelligence and ABM personalization.

Unifying the fragmented customer journey in the automotive sector is a complex task, as it requires integration of data from various disjointed systems.

BayesPPDSurv allows the integration of historical data using both fixed and random power prior models, enhancing design efficacy in clinical trials involving survival data.

A full-funnel approach incorporating both online and offline retail is essential for building customer loyalty and strengthening relationships.

REST APIs are crucial for seamless communication among applications, allowing for data sharing and integration, essential for modern web services and software development.

By combining the two leading US device graphs, we're setting out a new standard for measurement accuracy in podcast advertising, says Matt Drengler.