- Course overview
- Course details
Course overview
About this course
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
At course completion
You will be able to:
- Demonstrate how Apache Beam and Cloud Dataflow work together to fulfill your organization’s data processing needs
- Summarize the benefits of the Beam Portability Framework and enable it for your Dataflow pipelines
- Enable Shuffle & Streaming Engine for batch & streaming pipelines respectively for maximum performance
- Enable Flexible Resource Scheduling for more cost efficient performance
- Select the right combination of IAM permissions for your Dataflow job
- Implement best practices for a secure data processing environment
Course details
Module 1: Course Introduction
- Course Introduction
- Beam and Dataflow Refresher
Module 2: Beam Portability
- Beam Portability
- Runner v2
- Container Environments
- Cross-Language Transforms
- Quiz - Beam Portability
Module 3: Separating Compute and Storage with Dataflow
- Dataflow
- Dataflow Shuffle Service
- Dataflow Streaming Engine
- Flexible Resource Scheduling
- Quiz - Separating Compute and Storage with Dataflow
Module 4: IAM, Quotas, and Permissions
- IAM
- Quotas
- Quiz - IAM, Quotas, and Permissions
Module 5: Security
- Data Locality
- Shared VPC
- Private IPs
- CMEK
- LAB: Setup IAM and Networking for your Dataflow Jobs
- Quiz - Security
Module 6: Summary
- Course Summary
- Additional Resources
Enquiry
Course : Serverless Data Processing with Dataflow: Foundations
Enquiry
request for : Serverless Data Processing with Dataflow: Foundations
