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Data Engineering Glossary

Silectis

Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

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The Future of Database Management in 2023

Knowledge Hut

Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data. Disruptive database technologies are on them. With these technologies, businesses and organizations enhance their data management procedures, upgrade their knowledge, and make better decisions using data.

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How to Become an Azure Data Engineer in 2023?

ProjectPro

The use of data has risen significantly in recent years. More people, organizations, corporations, and other entities use data daily. Earlier, people focused more on meaningful insights and analysis but realized that data management is just as important. They need to come up with ideas and put them into action.

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

AltexSoft

Implementing data virtualization requires fewer resources and investments compared to building a separate consolidated store. Enhanced data security and governance. The information doesn’t need to be moved anywhere and access levels can be managed. How to get started with data virtualization.

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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

DataFrames are used by Spark SQL to accommodate structured and semi-structured data. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System. It's an open-source database and data management framework.

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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).