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Data Engineering Glossary

Silectis

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Cassandra A database built by the Apache Foundation.

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Power BI vs Tableau: Which Data Visualization Tool is Right for You?

Knowledge Hut

Power BI takes advantage of Microsoft's business analytics. The business intelligence market has multiplied in recent years and is anticipated to do so going forward. You should be data-driven if you want to pursue your career in Business Intelligence, Analytics, or Data Science.

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

AltexSoft

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Non-relational databases , on the other hand, work for data forms and structures other than tables.

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Data Scientist roles and responsibilities

U-Next

The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. Non-Technical Competencies. And Data Science has a significant impact here.

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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).