Google Cloud Training Institute in Hyderabad | GCP Online Training

1. Streaming analytics and dashboards In Google Cloud Platform (GCP), setting up streaming analytics and dashboards typically involves using various services and tools. Below is a high-level overview of how you can implement streaming analytics and dashboards as a GCP Data Engineer. - GCP Data Engineer Online Training 1. Data Ingestion: - Google Cloud Pub/Sub: Use Pub/Sub for ingesting and distributing real-time event streams. It is a messaging service that allows you to send and receive messages between independent applications. 2. Stream Processing: - Cloud Dataflow:Process and analyze the streaming data using Cloud Dataflow. Dataflow is a fully managed stream and batch processing service that can be used to develop and execute data processing patterns. 3. Data Storage: - Bigtable or BigQuery: Depending on your requirements, you can store the processed data in Bigtable for real- time analytics or in BigQuery for ad-hoc querying and analytics. - Google Cloud Data Engineer Training 4. Machine Learning (Optional): - AI Platform: If you want to incorporate machine learning into your streaming analytics, you can use AI Platform for model training and deployment. 5. Dashboard Creation: - Data Studio: Create interactive and customizable dashboards using Google Data Studio. Data Studio integrates seamlessly with other GCP services and allows you to create visually appealing reports. 6. Real-time Visualization: - Cloud Data Studio: Connect Data Studio directly to your streaming data sources to create real-time dashboards. Data Studio supports various data connectors, including BigQuery, making it easy to visualize real- time analytics. 7. Monitoring and Logging: - Stackdriver Logging and Monitoring: Monitor the health of your streaming analytics pipeline using Stackdriver Logging and Monitoring. Set up alerts to be notified of any issues in real-time. - GCP Training in Hyderabad 8. Security: - Cloud Identity and Access Management (IAM): Implement proper IAM policies to control access to your streaming analytics resources and data. 9. Scaling: - Auto Scaling: Leverage the auto-scaling capabilities of services like Dataflow to automatically adjust resources based on the volume of incoming data. 10. Testing and Deployment: - Deployment Manager: Use Deployment Manager to create and manage cloud resources in a consistent and reproducible manner. - GCP Data Engineer Online Course

2. 11. Documentation and Collaboration: - Google Workspace: Use Google Workspace tools for documentation, collaboration, and sharing insights with team members. 12. Cost Management: - Cost Explorer: Keep an eye on costs using Cost Explorer to understand and optimize your streaming analytics costs. By combining these GCP services, you can build a robust and scalable streaming analytics pipeline with real-time dashboards for monitoring and decision-making. Always consider your specific use case and requirements when selecting the appropriate GCP services for your solution. - Google Cloud Training Institute in Hyderabad Visualpath is the Leading and Best Institute for learning Google Cloud Platform Training in Hyderabad. We provide GCP Data Engineer Online Course, you will get the best course at an affordable cost. Attend Free Demo Call on - +91-9989971070. Visit : https://www.visualpath.in/gcp-data-engineering- online-traning.html