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14 Best Database Certifications in 2023 to Boost Your Career

Knowledge Hut

I’ve listed down the certifications related to different career paths related to Database, please learn about each of them and make an informed decision about which one will suit you the best. Skills acquired : Relational database concepts Retrieving data using the SQL SELECT statement. MongoDB aggregation.

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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases.

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What is DBMS? Types, Components, and Applications

Knowledge Hut

Developed by the famous tech giant Microsoft, SQL Server is a durable DBMS that offers a vast range of features for the management of relational databases. They are used to organize data into different tables, which consist of rows and columns, and follow a relational model. Microsoft SQL Server: What is DBMS in SQL?

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

Knowledge Hut

The duties and responsibilities that a Microsoft Azure Data Engineer is required to carry out are all listed in this section: Data engineers provide and establish on-premises and cloud-based data platform technologies. Relational databases, nonrelational databases, data streams, and file stores are examples of data systems.

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Azure Data Engineer Skills – Strategies for Optimization

Edureka

Here are some role-specific skills to consider if you want to become an Azure data engineer: Programming languages are used in the majority of data storage and processing systems. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

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. You can also post your work on your LinkedIn profile.

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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. Data security and privacy. Ensure data security and privacy.