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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 Role of Database Applications in Modern Business Environments

Knowledge Hut

It is made up of tables that carry data in rows and columns. Data Access Layer: The data access layer function is to create a connection between the application and the database. Database Application Types: The various types of database applications are as follows: 1. Spatial Database (e.g.-

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Getting Started with Cloudera Data Platform Operational Database (COD)

Cloudera

What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: .

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. RDBMS is a part of system software used to create and manage databases based on the relational model.

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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. DataFrames are used by Spark SQL to accommodate structured and semi-structured data.

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

AltexSoft

Commonly, the entire flow is fully automated and consists of three main steps — data extraction, transformation, and loading ( ETL or ELT , for short, depending on the order of the operations.) Dive deeper into the subject by reading our article Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation.