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Professional Machine Learning Engineer

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Topic 1 Question 26
You are responsible for building a unified analytics environment across a variety of on-premises data marts. Your company is experiencing data quality and security challenges when integrating data across the servers, caused by the use of a wide range of disconnected tools and temporary solutions. You need a fully managed, cloud-native data integration service that will lower the total cost of work and reduce repetitive work. Some members on your team prefer a codeless interface for building Extract, Transform, Load (ETL) process. Which service should you use?
- Dataflow
- Dataprep
- Apache Flink
- Cloud Data Fusion
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コメント(13)
- D. correct. Reference: https://cloud.google.com/data-fusion
  
  👍 14
  p_inkfreud2021/06/02
- D is correct
  
  Visual point-and-click interface enabling code-free deployment of ETL/ELT data pipelines and Operate high-volumes of data pipelines periodically
  
  source: https://cloud.google.com/data-fusion#all-features
  
  👍 4
  mousseUwU2021/10/19
- D. Datafusion is more designed for data ingestion from one source to another one, with few transformation. Dataprep is more designed for data preparation (as its name means), data cleaning, new column creation, splitting column. Dataprep also provide insight of the data for helping you in your recipes.
  
  👍 3
  xiaoF2022/01/27
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