Google Data Fusion was launched in 2018 by Google Cloud. It was created to provide a scalable and efficient solution for building and managing data pipelines, addressing the need for seamless data integration across diverse sources in a cloud-native environment.
Google Data Fusion
Google Data Fusion is a fully managed, cloud-native data integration service that helps users efficiently build and manage ETL/ELT data pipelines. It enables the ingestion, transformation, and integration of data from various sources into a unified analytics environment.
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About Google Data Fusion
Strengths of Google Data Fusion include its fully managed nature, ease of use, scalability, and integration with other Google Cloud services. Weaknesses include potential vendor lock-in and limited customization compared to open-source alternatives. Competitors include Apache NiFi, Talend, Informatica, and Microsoft Azure Data Factory.
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How to hire a Google Data Fusion expert
A Google Data Fusion expert must have skills in data integration, ETL/ELT processes, and cloud computing. Proficiency in SQL, Python, and Java is essential. Experience with Google Cloud Platform services, API management, and data pipeline design is also required.
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