Datasheet | 2 -Day Deep Dive
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Advanced Techniques for Setting Datain Motion with Confluent CloudContinuation of 1-day course: “Introduction to Setting Data in Motion with Confluent Cloud”

This 2-day course is the continuation of the 1-day course“Introduction to Setting Data in Motion with Confluent Cloud”,
where participants will take their Confluent Cloud skills to the nextlevel.
This course will extend their Confluent Cloud knowledge, so by
the end of the course, participants will be able to create a multicloud and global Kafka architecture using Cluster Linking, SchemaLinking, ACLs, RBAC, API Keys, managed connectors, Terraform,Audit Logs and more. After this course, participants will be able to:Prerequisites
This 200-level course is recommended to anyone who completed
the 1-day course “Introduction to Setting Data in Motion withConfluent Cloud”. In general, participants should have:• Understanding of the basics of Confluent Cloud:• Environments• Types of clusters• API Key/Secret•

Apply best practices when designing your Confluent Cloud
Organization.

•Integrate Schema Registry in your workloads and enable
Schema Validation to prevent poisoning your data pipelines.

•Mirror data between Kafka clusters using Schema Linking andCluster Linking.

•Discover and understand your streams and their relationships
using Stream Lineage and Stream Catalog.

•

Integrate external data systems in Confluent Cloud using
managed connectors using SMTs and Dead Letter Queues.

•Understand the different networking options available inConfluent Cloud.

The hands-on lab exercises in this course include:•Automate the infrastructure deployment in Confluent Cloudusing Terraform and Pulumi.

• Creating schemas in Schema Registry using Confluent Cloudconsole, Confluent CLI, and REST API•

Examine the Audit Logs generated by Confluent and evaluate• Replicating schemas between clusters using exporters withSchema Linking

the Metrics API and Notifications.

• RBAC & ACLs
• User and Service Accounts• Understanding of how Schema Registry, ksqlDB and Kafka
Connect work.
• Understanding of network technologies as they relate toConfluent products.
• General knowledge of terminal commands.

Hands-on Training• The hands-on lab exercises in this course include:• Mirroring topics from one cluster to another using Cluster Linking

Who Should Attend?
This 200-level course is recommended to anyone who completed
the 1-day course “Introduction to Setting Data in Motion withConfluent Cloud”.
This 2-day course is designed to enable Confluent Cloud users
to follow best practices when designing their Confluent Cloudorganization, to connect to external data systems to import/export• Creating fully managed connectors in Confluent Cloud toimport/export data
• Transforming your data streams in real-time with ksqlDB• Using Terraform to deploy and manage Confluent Cloud
infrastructure• Monitoring your Confluent Cloud clusters using Audit Logs,Metrics API and Notifications

data, to choose what networking option is the most suitable for
their use cases, to create multi-region architectures with Cluster
Linking and Schema Linking and much more.
© 2023 Confluent, Inc. | Confluent.io1

Datasheet | 2 -Day Deep Dive

Topics in Detail
Module 01 Schema Registry inConfluent Cloud• 01a: Stream Governance• 01b: Stream Quality: SchemaRegistry• 01c: Stream Quality: SchemaValidation• 01d: Stream Quality: Schema
Linking

Module 06 Confluent Cloud
Networking• 06a. Networking Fundamentals• 06b. Confluent Cloud Overview• 06c. Secure Public Endpoints• 06d. VPC/VNet Peering• 06e. AWS Transit Gateway• 06f. Private Link
• 06g. Networking Summary

Module 02 Stream Lineage &Stream Catalog• 02a. Stream Lineage• 02b. Stream Catalog

Module 07 Automate, Deploy,and Manage inConfluent Cloud• 07a. Terraform and Confluent Cloud
Provider• 07b. Pulumi and Confluent Cloud
ProviderModule 08 Monitoring, Metrics
and Audit Logs inConfluent Cloud• 08a. Audit Logs
• 08b. Metrics• 08c. Notifications

Module 09 Real-Life Use Case

• Instructor-led - Practice lab real lifeuse case

Module 03 Move Data withCluster Linking• 03a. What is Cluster Linking?
• 03b. Cluster Linking Lifecycle• 03c. Cluster Linking Security
Overview• 03d. Most Common Use Cases

Module 04 Kafka Connect inConfluent Cloud• 04a. Using Connectors in Confluent
Cloud• 04b. Security Considerations• 04c. Networking with ExternalSystems• 04d. Self-Managed Connectors

Module 05 ksqlDB in Confluent
Cloud

••

05a. ksqlDB in Confluent Cloud05b. Security Considerations© 2023 Confluent, Inc. | Confluent.io2