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Become a Data Engineer: Mastering the Concepts Learning Path completed by Daniel Belovarsky (Даниел Беловарски)

How To Become a Data Engineer: Mastering the Concepts

Posted on December 24, 2021December 24, 2021 By Daniel Belovarsky

Become a Data Engineer: Mastering the Concepts Certificate

Learning Path completed by Daniel Belovarsky (Даниел Беловарски) on Dec 11, 2021 at 03:10PM UTC • 13 hours 14 min

Top skills covered:
Big Data, Data Engineering

Build extensive data engineering and DevOps skills as you learn essential concepts. With this learning path, master the tools of the trade and how to apply them in real-world data project environments and platforms.

  • Build a foundation in data engineering and data science DevOps.
  • Explore techniques deployed in common tools and platforms.
  • Develop deeper skills in data science application programming.
The learning path Become a Data Engineer: Mastering the Concepts contains the following courses:

Data Science Foundations: Data Engineering

NoSQL Essential Training

Apache Spark Essential Training: Big Data Engineering

Architecting Big Data Applications: Batch Mode Application Engineering

Architecting Big Data Applications: Real-Time Application Engineering

SQL: Data Reporting and Analysis

Advanced NoSQL for Data Science

SQL Tips and Tricks for Data Science

Cloud NoSQL for SQL Professionals

Back to Learning Paths. Back to Data Science.

Data Science, Learning Paths Tags:Advanced NoSQL for Data Science, Architecting Big Data Applications, Batch Mode Application Engineering, Big Data, Big Data Engineering, Cloud NoSQL for SQL Professionals, course, courses, Daniel Belovarsky, Data Engineering, Data Reporting and Analysis, Data Science Foundations, DevOps, Learning Path, Learning Path completed by Daniel Belovarsky, NoSQL Essential Training, Real-Time Application Engineering, SQL Data Reporting and Analysis, SQL Tips and Tricks for Data Science, Даниел Беловарски

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