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Data Engineering Guide
Articles about important cloud data engineering topics, including ETL, data integration, and JSON.
Data Integration
Data integration is the process of combining data from multiple sources into a unified view to provide users valuable and actionable information.
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What is Machine Learning?
Machine learning is an application of artificial intelligence (AI) that enables systems to learn automatically and improve through experience without the assistance of explicit programming.
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What is JSON?
JSON is an open-standard data format or interchange for semi-structured data. Unlike flat files such as CSVs, JSON files store data in nested objects and arrays
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What is a Data Pipeline?
A data pipeline is a means of moving data from a source to a destination. Along the journey, data is transformed and optimized, arriving in an analyzable state.
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Master Data Management (MDM)
Master Data Management (MDM) is a data organization and consolidation process for uniform information utilization across all systems within an organization.
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What is ETL?
ETL (extract, transform, load) process consolidates data from multiple databases and sources into a single repository for data analysis and data consistency.
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What is a CI/CD Pipeline?
A CI/CD pipeline is a software delivery process used to deploy new and updated software safely by combining automated code building and testing with deployment.
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What Is a Feature Store in Machine Learning?
A feature store is a emerging data system used for machine learning, serving as a centralized hub for storing, processing, and accessing commonly used features.
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What is an ETL Pipeline?
ETL pipeline is extracting, transforming, and loading of data into a database. ETL pipelines are a type of data pipeline, preparing data for analytics and BI.
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