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Top 12 Backend Developer Skills You Must Know in 2024

Knowledge Hut

The applicant will be familiar with Linux, MySQL, and Apache, in addition to Flask and SQLAlchemy. Candidates should be able to construct database schemas that enable and represent business processes and automated unit tests and testing frameworks like JUnit and Jenkins. Therefore, having a solid grasp of the database is essential.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. You should have the expertise to collect data, conduct research, create models, and identify patterns.

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Data Scientist roles and responsibilities

U-Next

Programming in several languages: Data Scientists frequently employ a variety of programming languages, including Python, R, C/C, SAS, Scala, and SQL. They demand good knowledge of non-relational databases, including MongoDB, DynamoDB, Casandra, Redis, and Oracle, as well as MySQL, SQL Server, PostgreSQL, Oracle, and others.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers. Spark provides APIs for the programming languages Java, Scala, and Python. RDDs may contain any Python, Java, or Scala object, including user-defined classes. SQL MySQL SQL is a relational database.

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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).