Google Cloud Platform (gcp) Data Engineering (bigquery, Dataflow) Training Course: Gcp Data Solutions

Introduction

Transform your data infrastructure with our Google Cloud Platform (GCP) Data Engineering (BigQuery, Dataflow) Training Course. This program is designed to equip you with the essential skills to leverage GCP services for data warehousing and streaming, enabling you to build scalable and efficient data solutions. In today's data-driven world, mastering GCP data engineering tools is crucial for organizations seeking to derive actionable insights from their data. Our GCP data engineering training course offers hands-on experience and expert guidance, empowering you to utilize BigQuery and Dataflow for diverse data engineering tasks.

This GCP data solutions training delves into the core concepts of GCP data engineering, covering topics such as data warehousing, real-time streaming, and serverless analytics. You'll gain expertise in using industry-standard GCP services to leverage GCP services for data warehousing and streaming, meeting the demands of modern data-intensive organizations. Whether you're a data engineer, data architect, or cloud developer, this Google Cloud Platform (GCP) Data Engineering (BigQuery, Dataflow) course will empower you to design and implement high-performance data solutions on the GCP platform.

Target Audience:

• Data Engineers
• Data Architects
• Cloud Developers
• Data Analysts
• Database Administrators
• Business Intelligence Developers
• Anyone needing GCP data engineering skills

Course Objectives:

• Understand the fundamentals of GCP data engineering services (BigQuery, Dataflow).
• Master BigQuery for data warehousing and analytics.
• Utilize Dataflow for real-time and batch data streaming.
• Implement data pipelines and transformations in GCP.
• Design and build scalable data solutions on the GCP platform.
• Optimize GCP data services for performance and cost-effectiveness.
• Troubleshoot and address common challenges in GCP data engineering.
• Implement data security and access control in GCP data services.
• Integrate GCP data services with other GCP and third-party tools.
• Understand how to handle large datasets and data warehousing in GCP.
• Explore advanced GCP data engineering features (e.g., BigQuery ML, Dataflow SQL).
• Apply real world use cases for GCP data engineering services.
• Leverage GCP's ecosystem for efficient data engineering workflows.

Duration

10 Days

Course content

Module 1: Introduction to GCP Data Engineering Services

• Fundamentals of GCP data engineering services (BigQuery, Dataflow).
• Overview of data warehousing, streaming, and analytics on GCP.
• Setting up a GCP data engineering development environment.
• Introduction to BigQuery and Dataflow.
• Best practices for GCP data engineering.

Module 2: BigQuery for Data Warehousing and Analytics

• Mastering BigQuery for data warehousing and analytics.
• Utilizing BigQuery datasets, tables, and SQL queries.
• Designing and building data warehouses with BigQuery.
• Optimizing BigQuery queries for performance and cost.
• Best practices for BigQuery.

Module 3: Dataflow for Real-Time and Batch Streaming

• Utilizing Dataflow for real-time and batch data streaming.
• Implementing Dataflow pipelines for data transformation.
• Designing and building streaming and batch data processing jobs.
• Optimizing Dataflow pipelines for scalability.
• Best practices for Dataflow.

Module 4: Data Pipelines and Transformations

• Implementing data pipelines and transformations in GCP.
• Utilizing Dataflow SQL and Apache Beam.
• Designing and building complex data pipelines.
• Optimizing data transformations for data quality.
• Best practices for data pipelines.

Module 5: Scalable Data Solutions on GCP

• Designing and building scalable data solutions on the GCP platform.
• Utilizing Cloud Storage, Pub/Sub, and other GCP services.
• Implementing data ingestion, transformation, and loading (ETL).
• Optimizing solutions for large-scale data processing.
• Best practices for GCP data solutions.

Module 6: Performance and Cost Optimization

• Optimizing GCP data services for performance and cost-effectiveness.
• Utilizing performance tuning and monitoring tools.
• Implementing data partitioning and clustering strategies.
• Designing cost-effective data solutions.
• Best practices for optimization.

Module 7: Troubleshooting GCP Data Engineering

• Debugging common challenges in GCP data engineering.
• Analyzing GCP service logs and error messages.
• Utilizing troubleshooting techniques for problem resolution.
• Resolving common data engineering issues.
• Best practices for troubleshooting.

Module 8: Data Security and Access Control

• Implementing data security and access control in GCP data services.
• Utilizing IAM roles and policies for data access.
• Designing and building secure data solutions.
• Optimizing security for data protection.
• Best practices for security.

Module 9: Integration with GCP and Third-Party Tools

• Integrating GCP data services with other GCP and third-party tools.
• Utilizing Cloud Storage, Pub/Sub, and Data Studio.
• Implementing data integration with external data sources.
• Optimizing integration for data retrieval and analysis.
• Best practices for integration.

Module 10: Large Datasets and Data Warehousing

• Understanding how to handle large datasets and data warehousing in GCP.
• Utilizing BigQuery partitioned and clustered tables.
• Implementing data partitioning and parallel processing.
• Designing scalable data warehousing solutions.
• Best practices for large datasets.

Module 11: Advanced GCP Data Engineering Features

• Exploring advanced GCP data engineering features (BigQuery ML, Dataflow SQL).
• Utilizing BigQuery ML for machine learning.
• Implementing Dataflow SQL for stream processing.
• Designing and building advanced data engineering solutions.
• Optimizing advanced techniques for specific applications.
• Best practices for advanced features.

Module 12: Real-World Use Cases

• Implementing GCP data engineering for real-time analytics and monitoring.
• Utilizing GCP data services for data warehousing and business intelligence.
• Implementing GCP data engineering for machine learning and data science.
• Utilizing GCP data engineering for log processing and data analysis.
• Best practices for real-world applications.

Module 13: GCP Data Engineering Tools Implementation

• Utilizing GCP data engineering tools and frameworks (Cloud Composer, Terraform).
• Implementing data pipelines with specific tools.
• Designing and building automated data workflows.
• Optimizing tool usage for efficient development.
• Best practices for tool implementation.

Module 14: Performance Monitoring and Logging

• Implementing performance monitoring and logging for GCP data services.
• Utilizing Cloud Monitoring and Logging.
• Designing and building performance dashboards.
• Optimizing monitoring for real-time insights.
• Best practices for monitoring.

Module 15: Future Trends in GCP Data Engineering

• Emerging trends in GCP data engineering.
• Utilizing AI for data pipeline automation.
• Implementing data mesh architectures on GCP.
• Best practices for future applications.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.