Ascend.io

JUNE 8, 2023

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. It is the stage where data truly becomes a product, delivering tangible value to its end users.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Monte Carlo

JANUARY 23, 2024

RAG involves integrating a real-time database into the LLM’s response generation process, while fine-tuning trains models on targeted datasets to improve domain-specific responses. That implies working with new patterns like vector databases.” Those who don’t embrace it will be left behind. With the right prompt (this is key!)

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. Instead, Facebook came to realize that the work we were doing transcended classic business intelligence. The traditional best practices of data warehousing are loosing ground on a shifting stack.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130