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Maintain Your Data Engineers' Sanity By Embracing Automation

Data Engineering Podcast

Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows.

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Joe Reis Flips The Script And Interviews Tobias Macey About The Data Engineering Podcast

Data Engineering Podcast

Summary Data engineering is a large and growing subject, with new technologies, specializations, and "best practices" emerging at an accelerating pace. Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool.

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Tame The Entropy In Your Data Stack And Prevent Failures With Sifflet

Data Engineering Podcast

In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures. Datafold built automated regression testing to help data and analytics engineers deal with data quality in their pull requests.

Data Lake 130
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Azure Data Engineer Resume

Edureka

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer?

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Azure Data Engineer Prerequisites [Requirements & Eligibility]

Knowledge Hut

Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions. What Does an Azure Data Engineer Do? Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs to offer end customers a variety of pre-built models.

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Clean Up Your Data Using Scalable Entity Resolution And Data Mastering With Zingg

Data Engineering Podcast

Summary Despite the best efforts of data engineers, data is as messy as the real world. Entity resolution and fuzzy matching are powerful utilities for cleaning up data from disconnected sources, but it has typically required custom development and training machine learning models. That’s where our friends at Ascend.io

MongoDB 130
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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! What are Data Engineering Tools?