Google Cloud Professional Data Engineer Certification Questions With 100% Correct Answers.
Steps in Data Life Cycle - Ingest, Store, Process/Analyze, Explore/Visualize Define Ingest - pull in raw data - streaming/real-time data from devices - on premises batch data - application logs Define Store - data needs to be stored in a format and location Define Process/Analyze - transform data from raw format to usable insights Define Explore/Visualize - create visualizations that are presentable Ingest applications - app engine compute engine kubernates engine cloud pub/sub stackdriver logging cloud transfer transfer appliance Store applications - cloud storage SQL data store bigtablebigquery cloud spanner Process/Analyze applications - dataflow data proc dataprep bigquery cloud ML vision api speech api translate api natural language api video intelligence api Explore/Visualize applications - datalab datastudio Is data life cycle a set order? - nope example of batch data - migrating files onto GCS
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