Data Engineering Tag

It's no secret that when it comes to building data platforms, I've spent a fair amount of time building cloud provider native solutions, both in AWS and GCP. So when I saw that Snowflake had a conference showcasing all their latest and greatest features, I...

01 November, 2024 /

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Introduction

It’s a simple question, often asked by project managers, data scientists, and quality engineers on every data engineering project when that first data source is ingested. How do we know the data that has been ingested into a data lake is accurate and error-free?

20 February, 2023 /

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