Data Science

Data Engineering and DataOps Foundation

GROUP TRAINING

Overview

Data Engineering and DataOps Foundation is a comprehensive 2-day course focused on giving participants a solid understanding of key data engineering and DataOps concepts. The course explains the role of the data engineering, differentiating it from data science, and exploring key data concepts and real-world use cases. Participants will delve into techniques for data ingestion, data transformation, data warehousing and more with hands-on exercises at every step in the data lifecycle. The course covers DevOps principles for data management, including metrics, KPIs, and continuous integration and continuous deployment (CI/CD) for data pipelines. Upon completion, participants will be well-prepared to contribute effectively to data-driven organizations, utilizing their newfound expertise in data engineering and DataOps principles and tools.

Duration

2 Days

Who Should Take This Course

Audience

Developers, Data Engineers, IT Professionals, Analysts, Data Scientists, DevOps Professionals, MLOps Professionals.

Prerequisites

Basic understanding of data concepts and familiarity with the Linux command line.

Why You Should Take This Course

Upon completing Data Engineering and DataOps Foundation, participants will be able to:

Understand the importance of data engineering and DataOps
Work with popular data ops tools and techniques
Develop real-world data projects
Contribute effectively to data-driven organizations

Course Outline

Data Engineering and DataOps Foundation

Day 1

1. Introduction to Data Engineering
2. Data Ingestion and Storage
3. Data Transformation and Processing
4. Data Storage and Warehousing

Day 2

1. Introduction to DataOps
2. Continuous Integration and Continuous Deployment (CI/CD) for Data
3. Data Quality and Monitoring
4. Data Governance and Compliance