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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

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What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. Rely on the real information to guide you.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).