ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The transformed data is then placed into the destination data warehouse or data lake.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

JANUARY 19, 2024

The syllabus, resembling a guidebook, talks about organized storage, a unified view, and the flexibility offered by data lakes. For beginners in the curriculum for self-study, this is about creating a scalable and accessible data hub. Importance: Efficient organization and retrieval of data.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

AltexSoft

SEPTEMBER 10, 2021

Consisting of the same steps as in ETL, ELT changes the sequence — it first extracts raw data from sources and loads it into a target source, where transformation happens as and when required. The target system for ELT is usually a data lake or cloud data warehouse. Key types of data integration.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52