{"id":5282,"date":"2025-10-28T09:59:56","date_gmt":"2025-10-28T09:59:56","guid":{"rendered":"https:\/\/omxwebsites.com\/gammatica\/?page_id=5282"},"modified":"2025-10-31T05:15:35","modified_gmt":"2025-10-31T05:15:35","slug":"google-cloud-data-engineering","status":"publish","type":"page","link":"https:\/\/omxwebsites.com\/gammatica\/google-cloud-data-engineering\/","title":{"rendered":"Google Cloud Data Engineering"},"content":{"rendered":"\t\t
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Google Cloud Data Engineering<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Learning Format<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Certification<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Google Cloud Data Engineering<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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The Google Cloud Data Engineering<\/strong> course focuses on building and managing data solutions using Google Cloud Platform (GCP). You\u2019ll learn to design data pipelines, process and transform large datasets, and work with tools like BigQuery, Dataflow, and Pub\/Sub. This course prepares you to develop efficient, scalable data solutions and pursue roles such as Data Engineer or Cloud Data Specialist.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Syllabus Summary<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Data Storage & Lakehouse<\/strong><\/p>

  • \u00a0Cloud Storage for Data Lake<\/li>
  • Partitioning, lifecycle policies<\/li>
  • Best practices for Data Lakes in GCP<\/li>
  • Hands-on: Setup Data Lake in Cloud Storage<\/li>
  • Assignment<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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    BigQuery<\/strong>\u00a0<\/p>

    • Data Warehousing<\/li>
    • BigQuery datasets, tables, partitions<\/li>
    • Loading data from Cloud Storage<\/li>
    • SQL queries in BigQuery<\/li>
    • Partitioned & clustered tables<\/li>
    • Hands-on: Query structured & semi-structured data<\/li>
    • Assignment<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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      Data Integration with Dataflow<\/strong><\/p>

      • Apache Beam concepts (batch & streaming pipelines)<\/li>
      • Dataflow pipelines for ETL<\/li>
      • Hands-on: Transform & load data from Pub\/Sub \u2192 BigQuery<\/li>
      • Assignment<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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        Dataproc for Big Data<\/strong><\/p>

        • Cluster setup (Spark, Hadoop)<\/li>
        • Submitting Spark jobs<\/li>
        • Integration with Cloud Storage & BigQuery<\/li>
        • Hands-on: ETL pipeline using Dataproc + Spark<\/li>
        • Assignment<\/li>
        • Mock Interview<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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          • Real-Time Data Processing with Pub\/Sub- Pub\/Sub topics & subscriptions<\/li>
          • Push vs pull delivery models<\/li>
          • Integrating Pub\/Sub with Dataflow<\/li>
          • Hands-on: Real-time streaming pipeline (Pub\/Sub \u2192 Dataflow \u2192 BigQuery)<\/li>
          • Assignment<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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            Orchestration with Cloud Composer<\/strong><\/p>

            • Managed Apache Airflow overview<\/li>
            • DAGs in Airflow for data workflows<\/li>
            • Hands-on: Schedule BigQuery ETL job with Cloud Composer<\/li>
            • Assignment<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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              Visualization & BI- Looker<\/strong><\/p>

              • Studio basics (dashboards, data sources)<\/li>
              • Connecting Looker Studio to BigQuery<\/li>
              • Building reports for business insights<\/li>
              • Hands-on: Create interactive BI dashboard<\/li>
              • Assignment<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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                Capstone Project & Interview Prep<\/strong><\/p>

                • \u00a0Project:<\/strong> Real-time Data Pipeline (Pub\/Sub \u2192 Dataflow \u2192 BigQuery \u2192 Looker Studio)<\/li>
                • Assignment<\/li>
                • Mock Interview 2

                  <\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                  \n\t\t\t\t\t\tTech & Non-Tech Working professional, Freshers, Graduate from any domain.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tGet your queries solved with daily dedicated doubts solving sessions.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tExperts and trainer for top-tech companies.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t100% Live Learning with experienced instructors and hands-on sessions.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tGet practical experience with real-world projects for a career in analytics.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                  Google Cloud Data Engineering Learning Format Online mode Total training duration 120 hrs Duration 3 Months Certification Yes Google Cloud Data Engineering The Google Cloud Data Engineering course focuses on building and managing data solutions using Google Cloud Platform (GCP). You\u2019ll learn to design data pipelines, process and transform large datasets, and work with tools like BigQuery, Dataflow, and Pub\/Sub. This course prepares you to develop efficient, scalable data solutions and pursue roles such as Data Engineer or Cloud Data Specialist. Enroll Now Syllabus Summary Week 1 Data Storage & Lakehouse \u00a0Cloud Storage for Data Lake Partitioning, lifecycle policies Best practices for Data Lakes in GCP Hands-on: Setup Data Lake in Cloud Storage Assignment Week 2 BigQuery\u00a0 Data Warehousing BigQuery datasets, tables, partitions Loading data from Cloud Storage SQL queries in BigQuery Partitioned & clustered tables Hands-on: Query structured & semi-structured data Assignment Week 3 Data Integration with Dataflow Apache Beam concepts (batch & streaming pipelines) Dataflow pipelines for ETL Hands-on: Transform & load data from Pub\/Sub \u2192 BigQuery Assignment Week 4 Dataproc for Big Data Cluster setup (Spark, Hadoop) Submitting Spark jobs Integration with Cloud Storage & BigQuery Hands-on: ETL pipeline using Dataproc + Spark Assignment Mock Interview Week 5 Real-Time Data Processing with Pub\/Sub- Pub\/Sub topics & subscriptions Push vs pull delivery models Integrating Pub\/Sub with Dataflow Hands-on: Real-time streaming pipeline (Pub\/Sub \u2192 Dataflow \u2192 BigQuery) Assignment Week 6 Orchestration with Cloud Composer Managed Apache Airflow overview DAGs in Airflow for data workflows Hands-on: Schedule BigQuery ETL job with Cloud Composer Assignment Week 7 Visualization & BI- Looker Studio basics (dashboards, data sources) Connecting Looker Studio to BigQuery Building reports for business insights Hands-on: Create interactive BI dashboard Assignment Week 8 Capstone Project & Interview Prep \u00a0Project: Real-time Data Pipeline (Pub\/Sub \u2192 Dataflow \u2192 BigQuery \u2192 Looker Studio) Assignment Mock Interview 2 Data Storage & Lakehouse \u00a0Cloud Storage for Data Lake Partitioning, lifecycle policies Best practices for Data Lakes in GCP Hands-on: Setup Data Lake in Cloud Storage Assignment BigQuery\u00a0 Data Warehousing BigQuery datasets, tables, partitions Loading data from Cloud Storage SQL queries in BigQuery Partitioned & clustered tables Hands-on: Query structured & semi-structured data Assignment Data Integration with Dataflow Apache Beam concepts (batch & streaming pipelines) Dataflow pipelines for ETL Hands-on: Transform & load data from Pub\/Sub \u2192 BigQuery Assignment Dataproc for Big Data Cluster setup (Spark, Hadoop) Submitting Spark jobs Integration with Cloud Storage & BigQuery Hands-on: ETL pipeline using Dataproc + Spark Assignment Mock Interview Real-Time Data Processing with Pub\/Sub- Pub\/Sub topics & subscriptions Push vs pull delivery models Integrating Pub\/Sub with Dataflow Hands-on: Real-time streaming pipeline (Pub\/Sub \u2192 Dataflow \u2192 BigQuery) Assignment Orchestration with Cloud Composer Managed Apache Airflow overview DAGs in Airflow for data workflows Hands-on: Schedule BigQuery ETL job with Cloud Composer Assignment Visualization & BI- Looker Studio basics (dashboards, data sources) Connecting Looker Studio to BigQuery Building reports for business insights Hands-on: Create interactive BI dashboard Assignment Capstone Project & Interview Prep \u00a0Project: Real-time Data Pipeline (Pub\/Sub \u2192 Dataflow \u2192 BigQuery \u2192 Looker Studio) Assignment Mock Interview 2 Course Summary Eligibility Tech & Non-Tech Working professional, Freshers, Graduate from any domain. Live Doubt Solving Get your queries solved with daily dedicated doubts solving sessions. Instructor Experts and trainer for top-tech companies. Certification 10+ ISO Globally recognized certified Mode of Learning 100% Live Learning with experienced instructors and hands-on sessions. Real time projects Get practical experience with real-world projects for a career in analytics. Certification<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-5282","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5282","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/comments?post=5282"}],"version-history":[{"count":16,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5282\/revisions"}],"predecessor-version":[{"id":6389,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5282\/revisions\/6389"}],"wp:attachment":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/media?parent=5282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}