Description

Introduction

Redwood TIDAL Workload Automation is a powerful enterprise scheduler used to automate, monitor, and control batch jobs and workflows across diverse platforms and applications. This training focuses on building reliable job schedules, managing dependencies, monitoring executions, and handling alerts to ensure business-critical operations run smoothly and on time.

Prerequisites

• Basic knowledge of batch processing or job scheduling concepts

• Familiarity with Windows or Linux environments

• Understanding of enterprise applications or databases is an advantage

• No prior Redwood TIDAL experience required

Table of Contents

1. Introduction to Redwood TIDAL
  1.1 Workload Automation Concepts
  1.2 Redwood TIDAL Architecture
  1.3 Core Features and Benefits

2. TIDAL User Interface and Navigation
  2.1 Web Console Overview
  2.2 Job and Workflow Views
  2.3 Operator and Admin Perspectives

3. Job Scheduling Fundamentals
  3.1 Job Creation and Configuration
  3.2 Calendars, Schedules, and Time Windows
  3.3 Job Dependencies and Triggers

4. Workflow Automation
  4.1 Designing Job Chains
  4.2 Conditional and Event-Driven Scheduling
  4.3 Cross-Platform Workflows

5. Monitoring and Operations
  5.1 Real-Time Job Monitoring
  5.2 Alerts, Notifications, and Escalations
  5.3 SLA and Critical Job Tracking

6. Error Handling and Recovery
  6.1 Failure Analysis and Troubleshooting
  6.2 Job Reruns and Recovery Options
  6.3 Managing Missed or Delayed Jobs

7. Security and Access Management
  7.1 User Roles and Permissions
  7.2 Credential and Connection Security
  7.3 Audit Logs and Compliance

8. Reporting and Optimization
  8.1 Operational Reports and Dashboards
  8.2 Performance Tuning Best Practices
  8.3 Scaling TIDAL for Enterprise Use

9. Practical Use Cases
  9.1 Enterprise Batch Processing
  9.2 Application and Data Workflow Automation
  9.3 Operational Best Practices

This course enables learners to confidently schedule, monitor, and manage enterprise workloads using Redwood TIDAL. By improving automation visibility and control, organizations can reduce operational risk and enhance system reliability.