Google Professional Data Engineer
- Product type
Google Professional Data Engineer
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Description
Google Professional Data Engineer (2024)
Acquire knowledge of building and maintaining data processing systems, and data analysis as you prepare for the Data Engineer certification.
Package Includes
– Access to the e-learning modules for 12 months
Course outline
1. Designing data processing systems
In this track, the focus will be on what it takes to become a Google Cloud Data Engineer, navigating the Google Cloud platform, building data structures, and planning data pipelines.
Courses:
– GCP Data Engineer Pro: Becoming a Google Cloud Data Engineer
– GCP Data Engineer Pro: Navigating the Google Cloud Platform
– GCP Data Engineer Pro: Building Robust Data Structures
– GCP Data Engineer Pro: …
Frequently asked questions
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
Google Professional Data Engineer (2024)
Acquire knowledge of building and maintaining data processing systems, and data analysis as you prepare for the Data Engineer certification.
Package Includes
– Access to the e-learning modules for 12 months
Course outline
1. Designing data processing
systems
In this track, the focus will be on what it takes to become a
Google Cloud Data Engineer, navigating the Google Cloud platform,
building data structures, and planning data pipelines.
Courses:
– GCP Data Engineer Pro: Becoming a Google Cloud Data Engineer
– GCP Data Engineer Pro: Navigating the Google Cloud Platform
– GCP Data Engineer Pro: Building Robust Data Structures
– GCP Data Engineer Pro: Creating a Pipeline of Services
2. Ingesting and processing the
data
In this track, the focus will be on unstructured and structured
data, data storage, and BigQuery data warehouse.
Courses:
– GCP Data Engineer Pro: Google Cloud Unstructured Data
– GCP Data Engineer Pro: Google Cloud OLTP Structured Data
Storage
– GCP Data Engineer Pro: Google Cloud Semi-structured Data
– GCP Data Engineer Pro: BigQuery Data Warehouse
3. Storing the data
In this track, the focus will be on using Google data stream,
messaging, dataset processing, and exploring machine learning and
AI with Google.
Courses:
– GCP Data Engineer Pro: Messaging with Pub/Sub
– GCP Data Engineer Pro: Using Google DataStream
– GCP Data Engineer Pro: Dataset Processing
– GCP Data Engineer Pro: Google Machine Learning and AI
4. Preparing and using data for
analysis
In this track, the focus will be on optimizing, monitoring, and
troubleshooting data warehouses, and you will also explore data
migrations.
Courses:
– GCP Data Engineer Pro: Optimizing a Google Data Warehouse
– GCP Data Engineer Pro: Monitoring and Troubleshooting Data
Warehouses
– GCP Data Engineer Pro: Data Migrations
Datum
U kunt ten alle tijden beginnen! Neem hiervoor contact op met een van onze opleidingsadviseurs.
Locaties
Zelfstudie
Leermethodiek
E-Learning
Duur
15 courses (20 hours+)
Taal
Engels
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– Maatwerktraining, neem hiervoor contact op met een van onze opleidingsadviseurs.
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