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In this introductory video, we'll cover the fundamental concepts and key components that you need to know to get started.
The GCP Data Engineering course is a comprehensive training program focused on equipping individuals with the skills and knowledge needed to effectively work with data on the Google Cloud Platform (GCP). This course covers various aspects of data engineering, including data ingestion, transformation, storage, processing, and analysis within the GCP environment.
The GCP Data Engineering course at LevelUp provides comprehensive training in Google Cloud Platform’s data processing capabilities. Participants learn to build cost-effective, scalable data pipelines, covering real-time processing and machine learning integration. The course emphasizes data security and governance, preparing individuals for certification as Google Cloud Professional Data Engineers. This program equips participants with the essential skills for success in modern data engineering within the Google Cloud ecosystem.
1. Overview of Google Cloud Platform and Data Engineering Services
2. Understanding Data Engineering Concepts and Pipelines
1. Cloud Storage Classes and Strategies
2. NoSQL Databases: Firestore and Cloud Bigtable
3. Data Versioning, Lifecycle Management, and Backup Strategies
1. Real-time Data Streaming with Cloud Pub/Sub
2. Batch and Stream Processing with Apache Beam
1. BigQuery ML: Machine Learning in BigQuery
2. Machine Learning Pipelines with Kubeflow
3. Data Integration with Cloud Functions
1. Orchestration with Apache Airflow
2. Dataflow Templates and Templates Flex
1. Data Security: Encryption and Access Control
2. Data Governance, Compliance, and Metadata Management
1. Data Lakes on GCP: Cloud Storage and BigQuery
2. Serverless Data Analysis: BigQuery and Data Studio
1. Introduction to BigQuery for Analytics
2. Data Warehousing with Bigtable
3. Geospatial Data Analysis and Time Series Data Analysis
1. Data Pipeline Monitoring and Logging
2. Cost Optimization Strategies in Data Engineering
Introduction to Dataproc for Big Data Processing
2. Competitor Analysis and Market Trends
3. Crisis Management through Social Listening
1. Real-time Data Streaming with Cloud Pub/Sub
2. Real-time Dashboarding with Data Studio
1. Integrating GCP with External Data Sources
2. Data Transfer Service and Apigee for Data Integration
1. Optimizing BigQuery Queries for Performance
2. Data Partitioning and Clustering in BigQuery
Our dedicated expert will reach out to you directly, providing personalized assistance to resolve your query.
Yes, all live sessions will be recorded and made available to participants for later viewing. This ensures that you can catch up on any missed content at your convenience.
