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Home » Blog » Data Engineering » Page 4

Data Engineering

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 to empowering decision-making across the company. DATA INTEGRITY: JUST THE FACTS People say you can trust data.  “Let … [Read more...] about Data Integrity Issues Holding You Back?

Data Lake Architecture Guide: Choosing the Right Storage Tool

Overview: Build Your Data Architecture to Enable Use Cases One of the things that we often wrestle with in building out data lake architecture is how to best lay out the infrastructure to support different analytical use cases, and more specifically, what storage mechanism might yield the best performance. One of the virtues of data lakes is … [Read more...] about Data Lake Architecture Guide: Choosing the Right Storage Tool

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 HELPS YOU SIMPLIFY DATA ENGINEERING WITHIN YOUR ORGANIZATION Silectis Magpie … [Read more...] about Watch: Silectis Magpie Data Engineering Platform Demo

Want to be Data-Driven? Start with Metadata

This blog post gives a brief overview of the importance of metadata in today’s world… with a nod to our school days. HOW THE DEWEY DECIMAL SYSTEM IS KIND OF LIKE METADATA The Dewey Decimal System is an often forgotten example of the value of metadata. Though increasingly arcane, the system gave a library visitor information about a … [Read more...] about Want to be Data-Driven? Start with Metadata

Why the Notebook Interface is Preferred by Data Engineers and Data Scientists

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 notebook evolve to meet the demands of the tech world? DATA PEOPLE LOVE NOTEBOOKS If … [Read more...] about Why the Notebook Interface is Preferred by Data Engineers and Data Scientists

Magpie in Action: Job Management

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 STAGE When first setting up a data lake, it is common for organizations to start with a static export of data. This enables users to immediately take advantage of the advanced … [Read more...] about Magpie in Action: Job Management

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