The Top GCP Cloud Data Engineer Training in India

1. Introduction to GCP Data Engineering Welcome to the exciting world of Google Cloud Platform (GCP) Data Engineering. This presentation will guide aspiring data engineers and IT professionals through the essentials of building robust data solutions on GCP. +91-7032290546

2. Core Concepts of Data Engineering Data Ingestion Storage Solutions Processing Data Analysis & Reporting Collecting data from diverse sources. Choosing optimal storage for data. Transforming raw data into insights. Extracting value from processed data. Data engineering foundational concepts include data ingestion, storage, processing, and analysis. Understand batch versus real-time processing and the role of automation. Scalability and reliability are crucial for modern data workflows. +91-7032290546

3. Key GCP Services for Data Engineers BigQuery Cloud Dataflow Cloud Pub/Sub Cloud Storage Serverless data warehousing for analytics. Use SQL for powerful queries. Unified programming for stream and batch. Handles large-scale data processing. Real-time messaging for event ingestion. Decouples systems efficiently. Highly durable and available object storage. Ideal for data lakes. Cloud Composer Managed Apache Airflow for orchestration. Automates complex workflows. GCP offers specialized services essential for data engineers. BigQuery for analytics, Dataflow for processing, Pub/Sub for messaging, Cloud Storage for lakes, and Composer for workflow orchestration. +91-7032290546

4. Technical Skills You Must Learn Mastering key technical skills is vital for data engineers. SQL is essential for querying and transformation. Python enables scripting and automation for data tasks. SQL Proficiency Crucial for data querying and transformation. Python Scripting For automation and data manipulation. Data Modeling Designing efficient schemas and structures. Cloud Security Understanding IAM and data protection. Additionally, strong data modeling skills are necessary. Familiarity with various APIs and data formats like JSON, Avro, and Parquet is important. Basic cloud security and IAM fundamentals are also critical. +91-7032290546

5. Learning Path for Beginners Cloud Fundamentals Start with basic cloud concepts and GCP basics. BigQuery Mastery Learn data warehousing using BigQuery. ETL Workflows Build and automate ETL with Dataflow, Composer. Mini-Projects Apply skills on public datasets and real-world scenarios. For beginners, start with GCP fundamentals. Then, focus on data warehousing with BigQuery. Build and automate ETL workflows using Dataflow and Composer. Engage in mini-projects with public datasets. Consider hands-on GCP Data Engineering training. +91-7032290546

6. Real-Time & Advanced Data Scenarios Dive into advanced scenarios like setting up real-time streaming pipelines with Pub/Sub and Dataflow. Learn to handle time-series and log data effectively. Explore integrating data with ML models in Vertex AI. Time-Series Streaming Handling log data efficiently. Pub/Sub + Dataflow pipelines. ML Integration Connecting with Vertex AI models. Dashboards Metadata Building with Looker or Data Studio. Using Data Catalog for management. Utilize Data Catalog for robust metadata management. Finally, build informative dashboards using tools like Looker or Data Studio for visualization. +91-7032290546

7. Certification and Career Path 1 2 3 Get Certified High Demand Competitive Pay Google Cloud Professional Data Engineer Certification. Top job roles in Data and Cloud Engineering. Strong salaries globally and freelancing. The Google Cloud Professional Data Engineer Certification offers significant career benefits in 2025. This certification validates your expertise. High job demand exists for Data Engineers, Cloud Engineers, and Data Analysts. Expect competitive salaries and diverse opportunities. +91-7032290546

8. Final Tips and Resources Continuous learning is key to success in data engineering. • Keep learning with Google Cloud Skill Boosts. • Follow blogs, GitHub, and GCP documentation. • Join data engineering communities and forums. • Practice on real-world projects and case studies. • Stay updated with trends like GenAI + DataOps. Utilize resources like Google Cloud Skill Boosts. Engage with blogs, GitHub, and official GCP documentation. Participate in data engineering communities and forums. Actively practice on real-world projects and case studies. Stay updated on emerging trends like Generative AI and DataOps. +91-7032290546

9. Contact GCP Data Engineer Address:- Flat no: 205, 2nd Floor, Nilgiri Block, Aditya Enclave, Ameerpet, Hyderabad-1  Ph. No: +91-7032290546 Visit: WWW.VISUALPATH.IN E-Mail: online@visualpath.in +91-7032290546

10. THANK YOU • Visit: www.visualpath.in +91-7032290546