Extract, Load, Transform (ELT)

Learn the difference between ETL developers and data engineers. Clarify their roles, skills and responsibilities in this useful guide.

Streamline your data extraction, loading, and transformation process to unlock powerful analytics and data insights with these BigQuery ELT best practices.

With ELT on Amazon Redshift, learn how to integrate data from different sources and reshape it into a format that is ideal for business intelligence analysis.

Learn how utilizing MySQL and ELT can help businesses refine their data management approach and gain more effective outcomes from their data analytics.

Create scalable data pipelines in Snowflake. Our in-depth guide to Snowflake ELT and ETL will help you optimize your data flows, plus helpful tools.

Learn everything you need to know about DBT ETL and how it works for building data pipelines.

What is ELT? And when should you use it instead of ETL? Find out in this handy guide from Portable.

Learn everything about ETL (Extract, Transform, Load) -- extracting data from multiple sources, transforming and loading it into a data warehouse or data lake.

There are 4 main types of ETL testing: unit, integration, system and regression. Learn all about them in this expert guide from Portable.

Is an ETL workflow a data pipeline? Do they have different use cases? We'll outline the similarities, differences, and how to get started.

Discover the key differences between data ingestion and ETL. Learn how data ingestion focuses on data movement, while ETL emphasizes data transformation.

Hire a data analytics consultant to shape your business's data strategy and enhance existing business intelligence with best practices.

Complete list of 175+ ETL consultants along with evaluation criteria, use cases and alternatives. Find the right partner today!

As you dig deeper into analytics, you'll need custom ETL connectors to load data from bespoke applications into your analytics environment.

The comprehensive guide to 175+ marketing analytics consultants. Use cases, evaluation criteria, and actionable next steps for picking the right consultant.

Comprehensive guide to 150+ data science consultants. Use cases, evaluation criteria, and actionable next steps for picking a data science consultant.

No-code integrations save teams time and accelerate the path to value creation from analytics. Learn how to get started with ELT (Extract, Load, Transform).

Data teams get insights fast with no code ETL solutions. This article outlines how to get started with no code data pipelines in 5 minutes.

Comprehensive list of 175+ data integration consultants along with evaluation criteria, use cases and alternatives. A simple guide for custom ETL services.

ETL is more powerful than ever. It's critical to understand the most valuable ETL use cases, how to create value from data pipelines, and where to begin.

A custom integration is either a hassle or amazing. We outline the use cases for a custom integration, the development process, and a simple solution!

No code API connectors allow users to extract data from an API or import data into an API without writing code. Read the complete guide to API connectors!

ETL is one of the 4 main types of data integration. Helping business intelligence teams centralize data for analytics.

If you're trying to process massive amounts of data, how should you extract, transform, and load (ETL) that data? Read on to find out.

Complete list of 175+ data strategy consulting firms. Evaluation criteria, use cases, and actionable next steps for picking the right consultant.

Analytics teams commonly need data from bespoke applications delivered to their data warehouse. Custom ETL pipelines are the ideal solution. Learn why.

ELT solutions help data teams connect the most common sources, but they fall short when you need a long tail connector to a bespoke application.

See a full comparison of ETL (Extract, Transform and Load) vs iPaaS (Integration Platform as a Service) for your data integration strategy.

Learn the top ETL python frameworks for data integration.

Learn the key differences between ETL, data migration, data transfer and examples of dedicated ETL tools for your migration needs.

ETL programming is a powerful method for data integration. Learn how businesses are using ETL processes to automate data from sources into data warehouses.

Reverse ETL solutions extract information from a data warehouse and load it into business applications. (Opposite of the typical ETL process). Learn more!

ETL pipelines extract, transform, and load data from a source to a destination. Here's how to build a data pipeline with ETL best practices and examples.