Data Engineering Guide

Articles about important cloud data engineering topics, including ETL, data integration, and JSON.

What is an ETL Pipeline?

An ETL pipeline is the set of processes used to move data from a source into a database such as a data warehouse. Learn more about ETL pipelines here.

Python for Data Engineering

In this post, we’ll dive into the world of data engineering with Python, discuss how it’s used, and share some of the libraries and data engineering use cases.

What is a CI/CD Pipeline?

Learn more about CI/CD pipeline, which is an end-to-end software delivery process used to deploy new and updated software safely.

Sales Forecasting: Using ML to Improve Pipeline Forecasting Accuracy

Sales forecasting empowers businesses to plan and allocate resources more effectively, better manage risk, maximize financial performance, and excel in customer satisfaction.

What is a Data Pipeline?

A data pipeline is a means of moving data from the source to a destination (e.g. a data warehouse). Learn more about data pipeline, its benefits and elements.

What is ETL (Extract, Transform, Load)?

ETL (extract, transform, load) are the three processes that move data from one or multiple databases, or other sources to a unified repository. Learn more here.

What is Data Modeling?

Data modeling is the process of organizing and mapping data using simplified diagrams, symbols, and text to represent data associations and flow. Learn more here.

Evolving Supply Chain Management with Data

Leveraging data for supply chain management ensures that customer expectations are met while profitability is optimized.

ETL vs ELT

Discover the key differences in ETL vs. ELT as well as some of the benefits in preparing data for analysis and additional processing..