Google Professional Data Engineer eLearning
eze cursus biedt uitgebreide kennis voor het bouwen en onderhouden van data-verwerkende systemen en data-analyse.
De training omvat 12 maanden online toegang en meer dan 20 uur eLearning, inclusief een MeasureUp-exam simulatie.
Het curriculum richt zich op het ontwerpen van data processing systemen, het verwerken, opslaan en voorbereiden van data voor analyse, en het automatiseren van data workloads.
Er wordt aandacht besteed aan alle aspecten van data engineering binnen de Google Cloud, van unstructured en structured data tot machine learning en AI.
De cursus is geschikt voor professionals met minimaal drie jaar relevante ervaring en is beschikbaar in klassikale en maatwerkvormen.
Overview
COURSE DESCRIPTION
Acquire knowledge of building and maintaining data processing systems, and data analysis as you prepare for the Data Engineer certification.
- 12 Months Online Access
- 20+ hours of eLearning
- MeasureUp Exam simulation
- Tips & Tricks
CERTIFICATION
This course serves as an excellent preparation for the Google Professional Data Engineer exam.
LEARNING OUTCOMES
- Design data processing systems
- Ingest and process the data
- Store the data
- Prepare and use data for analysis
- Maintain and automate data workloads
TARGET AUDIENCE
- Students preparing to take the CCNP Collaboration certification
- Network administrators and engineers
- Systems engineers
CONTENT
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
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
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
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
PREREQUISITES
None
Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.