The Latest from Silectis
Watch: Generating Data for Story-Driven Demos
At a recent DC Data Engineering Meetup, a community group Silectis created and sponsors, we had the pleasure of having Tim Tutt, CEO of Night Shift Development as our guest speaker. Through Tim’s presentation about using data engineering to enable data analytics through the masses, our teams started to notice how complementary our products are.…
Continue Reading Watch: Generating Data for Story-Driven Demos
This blog post takes a look at how the popular notebook interface has gotten traction as the go-to front-end for data professionals and data companies alike. Notebooks can make data teams more productive by obscuring cumbersome configurations. How will the …
A quick explainer on why we built we job management directly into Magpie, our data engineering platform. Plus, a step-by-step tutorial on how to use it.SETTING THE STAGEWhen first setting up a data lake, it is common for organizations to …
EXAMINING NYC TRANSPORTATION DATA THROUGH MAGPIE’S ONE-CLICK RAPID DATA PROFILINGIn our first data-centric blog post, we provide a step-by-step introduction to the immediate value generated by Magpie’s ability to show users what is in a dataset before analysis begins. Below, …
In our first code-centric blog post, we provide a step-by-step introduction to Spark’s machine learning library. This post is intended for a more technical audience that has a solid grasp of Python, understands the basics of machine learning, and has …
The previous post in this series established a non-technical basis for understanding data lakes and why they might be important. In this post, the focus will be on providing a more technical take on data lakes. This will not be …
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