A chart that clearly specifies what are the differences between each and every profession in the field of BI, including titles, skills, roles and salaries.
Welcome to Xplenty's Blog
All things data
Xplenty explains the basics of Data Integration: What is ETL (Extract Transform Load), what are its main functions and when you would need them.
Which BI architecture is better for your organization, ETL or ELT? This article explains the considerations and also how they relate to Data Warehouses and Data Lakes.
Matt Mueller, President of a BI and analytics recruitment firm, shares his tips and best practices on how to hire a ‘Head of BI’.
Why you need a Data Integration Layer (ETL), reasons to use a SaaS based tool for ETL rather than coding it through scripts.
ETL is a critical, necessary process for almost all analytics projects. But the harsh reality is that ETL is complicated, with many challenges along the way, and implementation can be a daunting task or Extremely Tough to Load :)
Writing your own ETL code is not trivial. What starts out as a simple ETL process gets more complex over time. So does the coding, which becomes less manageable. A short story that morphs into a convoluted volume that rivals Tolstoy’s War & Peace.