Knowledge Hut

FEBRUARY 27, 2023

Engineers work with Data Scientists to help make the most of the data they collect and have deep knowledge of distributed systems and computer science. In large organizations, data engineers concentrate on analytical databases, operate data warehouses that span multiple databases, and are responsible for developing table schemas.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

ProjectPro

DECEMBER 16, 2021

Consider an AI/ML system as the combination of "Data" and "Code." In contrast, a machine learning engineer is a data professional who makes the AI/ML system available for a set of customers or organizations, ready to make predictions. Suppose you understand AI/ML and Data Science as a combination of two words. Lakh to ₹ 21.8

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Grouparoo

OCTOBER 6, 2021

3 About the Storage Layer Efficiency details for queries 4 Analytics as the Secret Glue for Microservice Architectures What to measure: company metrics, team metrics, experiment metrics 5 Automate Your Infrastructure DevOps is good 6 Automate Your Pipeline Tests Treating data engineering like software engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

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. According to reports by DICE Insights, the job of a Data Engineer is considered the top job in the technology industry in the third quarter of 2020.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98