François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. This is really the dark side of the data.

Technology 130

Technology Architecture Google Cloud Metadata 130

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Databand.ai

DECEMBER 29, 2022

Follow Sudhir on LinkedIn 13) Benjamin Rogojan Data Science And Data Engineering Consultant at Acheron Analytics Benjamin is a data science and data engineering consultant with nearly a decade of experience working with companies like Healthentic, Facebook, and Acheron Analytics.

BI 52

BI Consulting Data Science Data Governance 52