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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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Azure Data Engineer Certification Path (DP-203): 2023 Roadmap

Knowledge Hut

Data Engineers and Data Scientists have the highest average salaries, respectively, according to PayScale. Azure data engineer certification pathgives detailed information about the same. Who is an Azure Data Engineer? is the responsibility of data engineers. They must generate ideas and put them into practice.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

Specific Skills and Knowledge: Data collection and storage optimization Data processing and interpretation Reporting and displaying statistical and pattern information Developing and evaluating models to handle huge amounts of data Understanding programming languages C.

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14 Best Database Certifications in 2023 to Boost Your Career

Knowledge Hut

These certifications serve as concrete evidence of a professional's mastery, encompassing skills such as precise querying, data manipulation, database creation, and various data-related tasks. Skills acquired : Relational database concepts Retrieving data using the SQL SELECT statement.

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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).

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

AltexSoft

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Data security and privacy.