Data Consolidation, Data Lake, ETL Tools and Structured Data

Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. What is a Big Data Pipeline?

Data Pipeline

Data Pipeline Architecture Kafka AWS

Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation

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

Data Integration Data Consolidation Data Warehouse BI

Data Engineering Digest

Data Pipeline- Definition, Architecture, Examples, and Use Cases

Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation

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