Systems | Development | Analytics | API | Testing

Analysts have found that roughly 50% or more enterprise resource planning (ERP) projects fail, and approximately half of all projects are considered challenging.

ETL and ELT refer to two patterns of data storage architecture within your data pipelines. The letters in both acronyms stand for: So both ETL (extract, transform, load) and ELT (extract, load, transform) processes help you collect data, transform it into a usable form and save it to permanent storage, where it can be accessed by data scientists and analysts to extract insights from the data. What is the difference?

Data is the new oil. It’s a phrase we’ve heard a lot in recent years, and it’s not hard to understand why. We’re generating more data every day than ever before, and companies are scrambling to find ways to store that information without running out of space.

The scientific method is a proven route to successful, tested and verified improvement. Here’s how to combine it with BI.

The new tools offer improved usability over the REST API for developers in Go.

Data reporting and analysis are both critical to data-informed business practices, but what’s the difference? Learn from 45 experts.