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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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How to Become an Azure Data Engineer in 2023?

ProjectPro

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. So, if some functions are not accessible in built-in operators, we may programmatically build User Defined Functions (UDF) in other languages such as Java, Python, Ruby, and so on and embed them in Script files. may be used with it.

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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

Furthermore, excellent open-source contributions can elevate your portfolio and resume to the next level, empowering you to pursue new and promising career avenues in the future. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System.