Snowflake

APRIL 17, 2024

This traditional SQL-centric approach often challenged data engineers working in a Python environment, requiring context-switching and limiting the full potential of Python’s rich libraries and frameworks. To get started, explore the comprehensive API documentation , which will guide you through every step.

Data Pipeline 124

Data Pipeline Python Data Engineer Data Engineering 124

Data Engineering Podcast

JUNE 30, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. What does an on-call rotation for a data engineer/data platform engineer look like as compared with an application-focused team?

Pipeline-centric 147

Pipeline-centric Engineering Data Lake High Quality Data 147

Data Engineering Weekly

NOVEMBER 3, 2024

The blog emphasizes the importance of starting with a clear client focus to avoid over-engineering and ensure user-centric development. impactdatasummit.com Thumbtack: What we learned building an ML infrastructure team at Thumbtack Thumbtack shares valuable insights from building its ML infrastructure team.

Data Engineer 62

Data Engineer Data Engineering Engineering Pipeline-centric 62

Edureka

APRIL 22, 2025

Since all of Fabric’s tools run natively on OneLake, real-time performance without data duplication is possible in Direct Lake mode. Because of the architecture’s ability to abstract infrastructure complexity, users can focus solely on data workflows. Cloud support Microsoft Fabric: Works only on Microsoft Azure.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

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. The next problem will be the diversity of these mini data platforms (because of the configuration) and you even go deeper in problems with managing different technologies or version.

Technology 130

Technology Architecture Google Cloud Metadata 130

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

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. What is the role of a Data Engineer? They are required to have deep knowledge of distributed systems and computer science.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98