Program Açıklaması

Google Cloud Data Engineer

This learning path prepares you for a career as a Google Cloud Data Engineer. You'll start with data engineering fundamentals, then build data lakes and warehouses using BigQuery, BigLake, and Apache Iceberg. Next, you'll design both batch and streaming data pipelines with Dataflow, Serverless Spark, Pub/Sub, and Cloud Composer. Three dedicated courses cover serverless data processing with Dataflow from foundations through development and operations. You'll also learn to use Gemini AI models in BigQuery for advanced analytics and sentiment analysis. The path concludes with certification preparation for the Google Cloud Professional Data Engineer exam, featuring diagnostic questions across all key domains.

Ön Koşullar

Bu program için herhangi bir önkoşul yoktur

Kurs
1
Preparing for your Professional Data Engineer Journey
Ayrıntıları GörüntüleAyrıntıları Gizle
Prepare for the Google Cloud Professional Data Engineer certification with diagnostic questions covering migration, storage, analytics, and automation.
Prepare for the Google Cloud Professional Data Engineer certification with diagnostic questions covering migration, storage, analytics, and automation.
Kurs
2
Introduction to Data Engineering on Google Cloud
Ayrıntıları GörüntüleAyrıntıları Gizle
Learn the data engineering role on Google Cloud. Explore data sources, storage solutions, ETL/ELT architectures, BigQuery, Dataform, and Dataproc.
Learn the data engineering role on Google Cloud. Explore data sources, storage solutions, ETL/ELT architectures, BigQuery, Dataform, and Dataproc.
Kurs
3
Build Data Lakes and Data Warehouses on Google Cloud
Ayrıntıları GörüntüleAyrıntıları Gizle
Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.
Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.
Kurs
4
Build Batch Data Pipelines on Google Cloud
Ayrıntıları GörüntüleAyrıntıları Gizle
Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.
Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.
Kurs
5
Build Streaming Data Pipelines on Google Cloud
Ayrıntıları GörüntüleAyrıntıları Gizle
Design and operate batch data pipelines on Google Cloud using Dataflow, Serverless Spark, Cloud Composer, and data validation techniques.
Design and operate batch data pipelines on Google Cloud using Dataflow, Serverless Spark, Cloud Composer, and data validation techniques.
Kurs
6
Serverless Data Processing with Dataflow: Foundations
Ayrıntıları GörüntüleAyrıntıları Gizle
Master Apache Beam and Dataflow foundations including portability, Runner v2, Shuffle Service, Streaming Engine, IAM, quotas, and security.
Master Apache Beam and Dataflow foundations including portability, Runner v2, Shuffle Service, Streaming Engine, IAM, quotas, and security.
Kurs
7
Serverless Data Processing with Dataflow: Develop Pipelines
Ayrıntıları GörüntüleAyrıntıları Gizle
Develop data pipelines with Apache Beam and Dataflow. Cover transforms, windowing, I/O connectors, schemas, state APIs, Beam SQL, and notebooks.
Develop data pipelines with Apache Beam and Dataflow. Cover transforms, windowing, I/O connectors, schemas, state APIs, Beam SQL, and notebooks.
Kurs
8
Serverless Data Processing with Dataflow: Operations
Ayrıntıları GörüntüleAyrıntıları Gizle
Operate Dataflow pipelines in production. Learn monitoring, logging, troubleshooting, performance tuning, CI/CD, reliability, and templates.
Operate Dataflow pipelines in production. Learn monitoring, logging, troubleshooting, performance tuning, CI/CD, reliability, and templates.
Kurs
9
Boost Productivity with Gemini in BigQuery
Ayrıntıları GörüntüleAyrıntıları Gizle
Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.
Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.
Kurs
10
Work with Gemini Models in BigQuery
Ayrıntıları GörüntüleAyrıntıları Gizle
Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.
Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.

Google Cloud Data Engineer

Program Açıklaması