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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

Your SQL skills as a data engineer are crucial for data modeling and analytics tasks. Making data accessible for querying is a common task for data engineers. Collecting the raw data, cleaning it, modeling it, and letting their end users access the clean data are all part of this process.

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

The company targets to deliver values to its customers through the free SaaS based analytics applications so that it can build credibility with the clients to encourage them to buy more. Palantir Metropolis- This product focusses on information management, data integration and quantitative analytics.

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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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What is Data Hub: Purpose, Architecture Patterns, and Existing Solutions Overview

AltexSoft

The result of experimentation supplies downstream applications with prepared data. A data hub serves as a gateway to dispense the required data. So the use of unstructured or semi-structured data is also available in a data hub, since a data lake can be a part of it. Cumulocity IoT DataHub.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Machines and humans are both sources of structured data.