Data engineering is building and maintaining the right infrastructure for extracting data from several sources and making it available for analysis.

Unstructured data does not have a predefined schema. How can your organization process this?

A comprehensive comparison between. Talend OS vs. Xplenty ETL tools, including features, support services, pricing, and user-friendliness.

Every Big Data architect needs to know a few things about ETL (Extract, Transform, Load), and how it fits into an organization's data structure.

Data blending can fill an essential role in comparing information from different formats and databases. Are you using a tool that makes the most of your data?

Hive vs Pig can add security and efficiency to your ETL process. Do you know which one will integrate with Xplenty in the right way to make your ETL projects...

A quick guide to how to start using Heroku for mobile app development without worrying about database and server management.

Use Xplenty to efficiently extract your Shopify store data and make informative visualizations using tools like Google Data Studio (1 of 2).

How do I enrich my data? Learn how data enrichment helps give you better business insights and analysis plus the benefits of cloud ETL.