StreamSets Control Hub Training

High-performance deployments deserve high-caliber training. The fastest, most reliable way to build proven skills in StreamSets is via expert instructor-led hands-on classroom training in a structured learning environment.

This one-day hands-on training course provides comprehensive coverage of StreamSets Control Hub (SCH), including Dataflow Performance Manager (DPM). Participants will learn how to configure and use SCH to manage users, design and share pipelines, use the Pipeline Repository, configure and run jobs, and monitor the performance of pipelines across all instances of StreamSets Data Collector running in the organization.. Throughout the course, hands-on exercises reinforce the concepts being discussed.

More Information
Course feature Lifetime Access, CloudLabs, 24x7 Support, Real-time code analysis and feedback, 100% Money Back Guarantee
  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

  • 100% Money Back Guarantee

An Introduction to StreamSets
Control Hub
The Motivation for SCH
Key SCH Features
Deployment Methods
The SCH Architecture

Lab environment
Course Resources

Overview of the StreamSets
Data Operations
Data Operations Platform Overview
StreamSets Control Hub Use Cases

Getting Started With Control Hub
SCH Overview
The SCH User Interface
Overview Pipelines, Jobs, Topologies
Managing Data Collectors
Operational Management 

Installation and Configuration
SCH Installation
SCH Configuration
Organizations and Users Roles and Groups
Sharing Objects Between Users

Working with Data Collectors
Registering SDC Instances with SCH
Using Labels

Working With Pipelines
The Pipeline Repository
Creating and Editing Pipelines in SCH

The course is designed for those who will be building, managing, monitoring, and administering data flow pipelines. No prior knowledge of StreamSets Control Hub is required. Experience with StreamSets Data Collector is helpful but is not required.

Students preferably should have a general knowledge of operating systems, networking, programming concepts, and databases.

Course Outline

Managing Jobs
Creating and Running Jobs
Provisioning Data Collectors with Kubernetes
Scheduling Jobs

Managing Topologies
Creating and Using Topologies
Data SLAs, Subscriptions and Alerts

Administration and Monitoring
Monitoring your SCH instance and your Data Platform

Subscriptions and Alerts
Managing Subscriptions and Alerts

Control Hub Security
Securing your environment

High Availability and Disaster Recovery
High Availability with SCH
High Availability of your Data Operations Platform