The Latest from Silectis
How to Approach Your Data Engineering Transformation
Should you build your own tooling, take a “best of breed” approach, or buy a turnkey data engineering platform? We’ve got you covered. Data Engineering Platforms: Build, Best of Breed, or Buy? Every company wants to be data-driven. Modern organizations that thrive based on data have a common strength: a solid data engineering practice. How…
Continue Reading How to Approach Your Data Engineering Transformation
How to Approach Your Data Engineering Transformation
Should you build your own tooling, take a “best of breed” approach, or buy a turnkey data engineering platform? We’ve got you covered. Data Engineering Platforms: Build, Best of Breed, or Buy? Every company wants to be data-driven. Modern organizations…
Employee Spotlight: Getting to Know Brendan Freehart Data Engineer at Silectis
Ever wondered what it’s like to work at Silectis? We’re spotlighting our employees to give you a peek into our lives in and outside of work. For our first spotlight, we hear from Brendan Freehart, a true Silectis veteran who’s…
7 Data Engineering Trends to Watch
The importance of data engineering is on the rise, with organizations increasingly investing in talent and infrastructure. Here at Silectis, we are in the fortunate position of working with a wide range of enterprises across multiple industries. I caught up…
Knowing Your Data Starts with Data Lineage
Data lineage can be a tremendously useful tool for data engineering and analytics, but is often treated as an afterthought both because of the challenges in implementation and the fact that it has not been broadly available within organizations. Many…
Reframing “Data Engineering vs Data Science”
In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better…
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