How To Build Data Pipelines: Full Process & Best Practices
To be successful, a company’s data pipelines must be scalable, organized, usable to the correct stakeholders, and above all, crafted to align with business goals.
ELT
How to prevent your data warehouse from becoming a data swamp
Your data storage system might be a data swamp masquerading as a data warehouse. Here’s how to tell, and what to do.
Why ELT won’t fix your data problems
If we’re not careful, the modern data stack and ELT can cause new incarnations of problems that have been plaguing us for years.
Why you don’t actually need a reverse ETL platform
If you set up your architecture right, you just need one, robust data pipeline system.
How new pipeline tools are changing data engineering in the 2020s
For the past several years, the workforce has been chronically short on data engineers. But what will happen as vendors build services that automate much of their daily work?
ETL vs ELT: Breaking down the split paradigm
At first glance, ETL and ELT seem rigidly defined and mutually exclusive. But to understand our data integration options, we need to look closer.