DataOps Fundamentals Course Overview

Course Prerequisites

• Basic Computer Knowledge.

Target Audience for DataOps Fundamentals

The DataOps Fundamentals course by Koenig Solutions is designed to equip participants with essential skills and knowledge in Data Operations, suitable for professionals involved in Data Management across various industries.

Target Audience for the DataOps Fundamentals Course:

• Data Scientists
• Data Analysts
• Data Engineers
• IT Managers
• Project Managers involved in data-related projects
• Operations Managers handling data workflows
• Software Developers with a focus on data applications
• Quality Assurance professionals in data-dependent sectors
• Database Administrators
• Technical team leads overseeing data projects
• Business Intelligence professionals

Learning Objectives - What you will Learn in this DataOps Fundamentals?

Introduction to Learning Outcomes and Concepts: The DataOps Fundamentals course is designed to equip participants with the core knowledge of DataOps, covering principles, implementation strategies, toolsets, and real-world applications over a comprehensive one-day program.

Learning Objectives and Outcomes:

• Understand the fundamental principles and key concepts of DataOps.
• Identify the roles and responsibilities within a DataOps team.
• Learn the critical components of data architecture essential for DataOps.
• Evaluate and select appropriate platforms and tools for implementing DataOps.
• Gain insights into data orchestration, observability, ingestion, analysis, and governance.
• Develop an understanding of the common pipeline events in DataOps workflows.
• Apply best practices for effective DataOps management.
• Recognize the benefits and real-world use cases of DataOps in improving operational efficiency.
• Understand the challenges associated with DataOps and strategies to overcome them.
• Differentiate between DataOps and DevOps, highlighting their unique aspects and synergies.