Remove Hadoop Remove Pipeline-centric Remove Software Engineer
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The Rise of the Data Engineer

Maxime Beauchemin

Unlike data scientists — and inspired by our more mature parent, software engineering  — data engineers build tools, infrastructure, frameworks, and services. In fact, it’s arguable that data engineering is much closer to software engineering than it is to a data science.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is the role of a Data Engineer? Data scientists and data Analysts depend on data engineers to build these data pipelines.

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Data News — Week 23.14

Christophe Blefari

I was in the Hadoop world and all I was doing was denormalisation. The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. I still firmly believe that this is not the role of a data engineer. Data modeling should not be a required data engineer skill.

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Data News — Week 13.14

Christophe Blefari

I was in the Hadoop world and all I was doing was denormalisation. The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. I still firmly believe that this is not the role of a data engineer. Data modeling should not be a required data engineer skill.

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Every Company is Becoming a Software Company

Confluent

Here, the bank loan business division has essentially become software. Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process.

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Top-Paying Data Engineer Jobs in Singapore [2023 Updated]

Knowledge Hut

Data engineering is all about building, designing, and optimizing systems for acquiring, storing, accessing, and analyzing data at scale. Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. Who is Data Engineer, and What Do They Do?

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97 things every data engineer should know

Grouparoo

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models. Test system with A/A test.