infyni

GCP Data Engineering Masterclass - Live Training

Google Cloud Platform (GCP) offers a comprehensive suite of services for data engineering, allowing organizations to manage, process, and analyze large volumes of data.Google Cloud Storage provides scalable and durable object storage. It's often used for storing raw data before processing.

Live Course

Live Class: Friday, 01 Dec

Duration: 20 Hours

Enrolled: 0

Offered by: infyni

Live Course

About Course

  1. As of Nov 11, 2023, the average annual pay for a Google Cloud Data Engineer in the United States is $128,704 a year. But that itself is not reason enough to pursue Infyni's live course in Google Cloud Platform.


    Here are some more compelling reasons :


    Industry-Relevant Curriculum: Infyni's training programs are designed to provide you with the knowledge and skills that are in high demand in the cloud computing industry. They typically cover a wide range of GCP services and technologies, ensuring you get a comprehensive understanding of cloud computing.

  2. Hands-On Experience: Cloud computing is a practical field, and Infyni's training often includes hands-on labs and real-world projects. This practical experience is invaluable when it comes to understanding how to use GCP effectively in real-world scenarios.

  3. Certification Preparation: Many cloud computing jobs require certifications to validate your expertise. Infyni's training programs often include preparation for GCP certification exams, which can boost your credibility in the job market.

  4. Experienced Instructors: Infyni's trainers are typically experienced professionals in the field of cloud computing. Learning from experts can accelerate your understanding and provide you with valuable insights into industry best practices.

  5. Flexible Learning: Live online training allows you to learn from anywhere including the comfort of your home. This flexibility can be especially beneficial if you have other commitments, such as a job or studies.

  6. Community and Networking: Infyni's training programs often foster a sense of community among learners. Networking with fellow students can lead to valuable connections and opportunities in the industry.

  7. Career Support: Some training programs offer career support services, including job placement assistance, resume building, and interview preparation. This can be extremely beneficial as you transition into a cloud computing career.

  8. Up-to-Date Content: The cloud computing field is constantly evolving, with new services and features being added regularly. Infyni's training programs aim to stay up-to-date with the latest developments in GCP, ensuring you learn the most current skills and knowledge.

  9. Global Reach: Online training from Infyni means you can access their programs from anywhere in the world. This broadens your opportunities and makes it easier to connect with a global job market.

  10. Career Growth: Cloud computing is a rapidly growing field, and professionals with GCP skills are in high demand. Starting your career in cloud computing can open up various avenues for career growth and advancement.


    Our live classes are available in groups or as 1-1 training. Drop us a mail and we will get in touch to align a free trial.

Skills You Will Gain

Big Query Cloud Storage Career Support Data Catalog

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
  • Key GCP services for data engineering, Setting Up GCP Projects for Data Engineering
  • Cloud Storage, managing data, Cloud SQL and Cloud Spanner. Managed relational databases on GCP
  • Batch processing, Managed Apache Spark and Hadoop service
  • Unified model for batch and stream processing. Data processing pipelines with Apache Beam. Deploying and monitoring data processing pipelines
  • Serverless, highly scalable analytics data warehouse. Partitioning and clustering for performance
  • Managed Apache Airflow service on GCP. Scheduling ETL workflows
  • Event-driven messaging on GCP. Integrating Pub/Sub with other GCP services
  • Data Encryption and Identity Access Management (IAM). Ensuring Compliance with Data Regulations
  • Best Practices for Data Engineering Pipelines. Monitoring and Debugging Pipelines. Automating Pipeline Execution
  • Real-world Use Cases of GCP in Data Engineering. Hands-on Projects
  • Exam Overview and Guidelines, Sample Questions and Discussion, Tips and Resources for Exam Preparation
  • BigQuery - Window functions and analytical queries, Common table expressions (CTEs) and subqueries, Query Optimization Challenges and Spark SQL
  • Working with Libraries, Code Optimization, PySpark
  • Key GCP services for data engineering, Setting Up GCP Projects for Data Engineering