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- AI
- Cloud
- Data
Data Engineering on Google Cloud
7 Courses
7 Hours
Skill IQ
This path provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The courses cover structured, unstructured, and streaming data.
Content in this path
Data Engineering on Google Cloud
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What You'll Learn
- This path teaches the following skills
- Design and build data processing systems on Google Cloud Platform
- Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.
- Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
- Manage your data Pipelines with Data Fusion and Cloud Composer.
- Derive business insights from extremely large datasets using Google BigQuery
- Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.
- Enable instant insights from streaming data
Prerequisites
- Participants should have experience with one or more of the following:
- • A common query language such as SQL
- • Extracting, Loading, Transforming, cleaning, and validating data
- • Designing pipelines and architectures for data processing
- • Integrating analytics and machine learning capabilities into data pipelines
- • Querying datasets, visualizing query results and creating reports
Related topics
- BigQuery
- Dataflow
- Dataproc
- ML APIs
- Data Fusion
- Bigtable
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