The practice of data engineering has evolved, and will continue to do so — what does this mean for today’s data engineering teams trying to make sense of it all? So much more than ETL, Silectis believes data engineering within…

We recently published a new report: The Case for the Holistic Data Engineering Platform, which outlines why piecemeal tooling isn’t sustainable for most modern companies. In today’s world, it’s well understood that the best businesses make data-driven decisions to push…

At CARFAX, a data services company that supplies vehicle history reports to individuals and businesses, accuracy and trustworthiness in their data is paramount, and a modern data architecture is their vehicle for sound decision-making across the company. Karen White, Director…

Today, we are excited to share that Silectis Magpie, our data engineering platform is supported on Microsoft Azure.  Silectis Magpie brings together Azure’s big data capabilities so that organizations can gain business insights from their raw data, faster. Our managed…

In this installment of Silectis Technical Tutorials, we provide a step-by-step introduction to building a machine learning model in R using Apache Spark. This post is intended for R users who understand the basics of machine learning and have an…