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This instructor-led course introduces learners to data engineering concepts on Google Cloud and explains how data engineering responsibilities map to Google Cloud services and solutions. Participants will explore data engineering workflows, storage systems, pipeline architectures, data migration techniques, and automation strategies.<\/span>\u00a0<\/span><\/p>\n

The course covers data replication and migration, extract-load (EL), extract-load-transform (ELT), extract-transform-load (ETL) pipeline patterns, streaming analytics, metadata management, and workflow automation using Google Cloud services such as\u00a0BigQuery,\u00a0Dataproc, Dataflow,\u00a0Dataform, Cloud Composer, and\u00a0Eventarc.<\/span>\u00a0<\/span><\/p>\n

Through guided labs, classroom activities, quizzes, and hands-on implementation exercises, learners will gain foundational skills for building scalable and automated data engineering solutions on Google Cloud.\u00a0<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

This instructor-led course introduces learners to data engineering concepts on Google Cloud and explains how data engineering responsibilities map to Google Cloud services and solutions. Participants will explore data engineering workflows, storage systems, pipeline architectures, data migration techniques, and automation strategies.\u00a0 The course covers data replication and migration, extract-load (EL), extract-load-transform (ELT), extract-transform-load (ETL) pipeline […]<\/p>\n","protected":false},"author":13,"featured_media":12394,"template":"","meta":{"footnotes":""},"stm_lms_course_taxonomy":[58],"metadata":{"stm_lms_product_id":["23678"],"_edit_lock":["1780489628:6767"],"_edit_last":["6767"],"permalink_customizer":["google-cloud-certification\/introduction-to-data-engineering-on-google-cloud"],"permalink_customizer_regenerate_status":["1"],"popular_course":["0"],"_popular_course":["field_64253688bc2e5"],"educational_schema":[""],"_educational_schema":["field_652fbbf6f589a"],"course_banner_image":[""],"_course_banner_image":["field_63c69a6b81cf1"],"mobile_banner_image":[""],"_mobile_banner_image":["field_63cf93896d207"],"banner_link":[""],"_banner_link":["field_63c69a9681cf2"],"banner_image":[""],"_banner_image":["field_621873548f922"],"banner_description":["Learn the fundamentals of data engineering on Google Cloud, including data ingestion, replication, migration, ETL\/ELT pipelines, streaming analytics, and workflow automation using BigQuery, Dataflow, Dataproc, and Cloud Composer. "],"_banner_description":["field_612c733ed3564"],"overview_section_heading":["Course Overveiw of Introduction to Data Engineering on Google Cloud "],"_overview_section_heading":["field_64538867ffdd0"],"after_completing_course_heading":["After completing Introduction to Data Engineering on Google Cloud , students will be able to: "],"_after_completing_course_heading":["field_645c78ade3f50"],"after_completing_course":["10"],"_after_completing_course":["field_6103aae828228"],"key_features_heading":["Key features of Introduction to Data Engineering on Google Cloud:"],"_key_features_heading":["field_645388ceffdd1"],"key_features":["8"],"_key_features":["field_6103aaff28229"],"who_should_attend_heading":["Who Should Attend Introduction to Data Engineering on Google Cloud "],"_who_should_attend_heading":["field_645388faffdd2"],"who_should_attend":["7"],"_who_should_attend":["field_6103ab0d2822a"],"prerequisites_heading":["Prerequisites of Introduction to Data Engineering on Google Cloud "],"_prerequisites_heading":["field_64538a51ffdd3"],"prerequisites_text":["

  • Prior Google Cloud experience at the foundational level <\/li>\r\n
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