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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

A data engineer is an engineer who creates solutions from raw data. A data engineer develops, constructs, tests, and maintains data architectures. Let’s review some of the big picture concepts as well finer details about being a data engineer. Earlier we mentioned ETL or extract, transform, load.

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Data Scientist roles and responsibilities

U-Next

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist? Data Scientist Skills.

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Microsoft Azure Certifications Validity & Renewal in 2023

Knowledge Hut

Great for those keen on exploring data roles in the cloud. If a company wants to store customer data, this certification provides the foundational knowledge on choosing between relational or non-relational databases in Azure. It emphasizes securing, monitoring, and ensuring the availability of data.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Big data enables businesses to gain a deeper understanding of their industry and helps them extract valuable information from the unstructured and raw data that is regularly collected.

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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).