StreamSets Control Hub Training
Public Live
For Individuals-
Instructor Led
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6 Months to Complete
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Fixed Schedule*
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Fixed Content
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Purchase Seat with Credit Card
Private Training
For Teams-
Instructor Led
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12 Months to Complete
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Flexible Schedule*
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Content Tailoring Available
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$500 for each additional student
HANDS ON TRAINING
BUILD PROVEN SKILLS
1 DAY COURSE
Course Overview
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.
Requirements
Students preferably should have a general knowledge of operating systems, networking, programming concepts, and databases.
Audience
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.
Objectives
Introduction
Lab environment
Course Resources
Overview of the StreamSets
Data Operations
Data Operations Platform Overview
StreamSets Control Hub Use Cases
An Introduction to StreamSets
Control Hub
The Motivation for SCH
Key SCH Features
Deployment Methods
The SCH Architecture
Getting Started With Control Hub
SCH Overview & the SCH User Interface
Overview of 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
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