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The Latest from Silectis

Watch: Generating Data for Story-Driven Demos

Demetrios Kotsikopoulos
May 26, 2021

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

Watch: Generating Data for Story-Driven Demos

Demetrios Kotsikopoulos May 26, 2021
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 …
Continue Reading

How to Approach Your Data Engineering Transformation

Demetrios Kotsikopoulos April 19, 2021
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 …
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Employee Spotlight: Getting to Know Brendan Freehart Data Engineer at Silectis

Demetrios Kotsikopoulos April 7, 2021
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 …
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7 Data Engineering Trends to Watch

Matt Boegner March 9, 2021
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 …
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Knowing Your Data Starts with Data Lineage

Demetrios Kotsikopoulos February 25, 2021
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 …
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