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. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured.

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. They are designed to follow a rigid, linear process of ingestion and transformation, and sharing data is often limited to a single predefined destination.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

AltexSoft

JUNE 7, 2021

The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. 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. Data storage options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98