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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? Let’s discuss and compare them to avoid misconceptions.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

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How to Become a Data Engineer in 2024?

Knowledge Hut

SQL Database SQL or Structured Query Language is a programming language that allows a user to store, query, and manipulate data in relational database management systems. NoSQL is a distributed data storage that is becoming increasingly popular. What is a Data Architect?

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

Structured data is formatted in tables, rows, and columns, following a well-defined, fixed schema with specific data types, relationships, and rules. A fixed schema means the structure and organization of the data are predetermined and consistent. These robust security measures ensure that data is always secure and private.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

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14 Best Database Certifications in 2023 to Boost Your Career

Knowledge Hut

Over the past decade, the IT world transformed with a data revolution. Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it.

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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).