Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. .” This partnership establishes a data efficiency center of excellence focused on AI & Automation tooling alongside best practices to ensure organizations maximize their data ROI. “Our collaboration with Ascend.io

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 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. who are our active users ? Who is doing what ?

Architecture 130

Architecture Technology Google Cloud Metadata 130

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Knowledge Hut

MARCH 19, 2024

Separates coding from the rest of the delivery pipeline: With a distinct dev environment, engineers can focus solely on writing good, functioning code rather than deployment mechanics or ops concerns. Prevents new bugs from impacting testing/production: Low quality code can cause system failures or data issues.

Pipeline-centric 52

Pipeline-centric Database-centric Software Engineer Software Engineering 52

Knowledge Hut

DECEMBER 5, 2023

Pros User-centric design makes it a suitable platform for beginners. High data security and privacy. Offers automated e-mail reminders, sales pipeline tracking and calendar sync to help teams stay on track. Sales pipelines are unlimited and customizable. Pros Highly customizable and scalable.

Process 52

Process Management Pipeline-centric Cloud 52

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. Open question: how to seed data in a staging environment? Test system with A/A test. Be adaptable.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52