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Top 12 Backend Developer Skills You Must Know in 2024

Knowledge Hut

It is one of the premier languages and is often used by developers to handle simple and complex projects. Good Communication and Interpersonal Skills The job of the backend developer doesn't end with creating a technically superior project. Therefore, having a solid grasp of the database is essential. to manage DBMS.

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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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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Define Big Data and Explain the Seven Vs of Big Data. 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. Explain the data preparation process.

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IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

AltexSoft

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. They include NoSQL databases (e.g.,

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Data Virtualization: Process, Components, Benefits, and Available Tools

AltexSoft

Let’s take a look at real-world use cases to see how companies operating in different industries leverage data virtualization technology. Pfizer: Acceleration of information delivery to the company’s research projects. In the past, the company used the traditional ETL data integration approach that often resulted in outdated data.

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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).