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.

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. Data Engineers are skilled professionals who lay the foundation of databases and architecture.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Ascend.io

MAY 31, 2023

Data Transformation Because of the many variations of source systems, the data collected during the ingestion phase is often raw, messy, and unstructured. In the ETL world, data transformation is intended to change the structure of the source data to match a specific target database schema, usually in the context of a data warehouse.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

AltexSoft

JUNE 7, 2021

The framework provides a way to divide a huge data collection into smaller chunks and shove them across interconnected computers or nodes that make up a Hadoop cluster. As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. Data storage options. scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98