The Latest from Silectis
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 practitioners have never had access to data lineage information and may not know what they…
Data Integrity Issues Holding You Back?
In this blog post, we explore how a data analyst can know when to trust data and when to be skeptical. Using data integrity features in your modern data engineering platform should help you sort this quickly, and move on…
Clustering Analysis for Market Segmentation: Making It (Actually) Useful
In this blog post, we provide some tips on bridging the gap between clustering analysis and real-life business value. This post will be most useful to machine learning practitioners that want their output to resonate with non-technical audiences (in this…
Tutorial: Using Magpie to Implement a Cloud Data Lake
PILOTING A DATA LAKE WITH MAGPIE More and more companies are turning to data lakes as a way to unify and get value out of their growing collections of data. However, it can be a challenging to navigate the ever-changing…
Data Lake Architecture Guide: Choosing the Right Storage Tool
One of the things that we often wrestle with in building data lakes is how to best architect the infrastructure to support different analytical use cases, and more specifically, what storage mechanism might yield the best performance.
Watch: Silectis Magpie Data Engineering Platform Demo
Interested in understanding why Silectis Magpie is the premiere way to simplify data engineering? In this recorded demo, we use real data to demonstrate how an organization might create and use a centralized analytics capability, all from scratch! SILECTIS MAGPIE…
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