Fundamentals of Analytics Engineering
An introduction to building end-to-end analytics solutions
+4Created by Dumky De Wilde, Ricardo Angel Granados Lopez, Juan Manuel Perafan and 4 more
Explore the essentials of analytics engineering, from building data pipelines to delivering insights across your organization. Learn how to design, implement, and manage scalable analytics solutions using modern tools and best practices. Gain the confidence to tackle real-world data challenges and drive meaningful business outcomes.
Packt | Mar 2024 | 332 min
What You Will Learn
You'll start by working through the core steps of analytics engineering, including data ingestion, transformation, and modeling. As you progress, you'll use industry-standard tools to implement pipelines, optimize queries, and ensure data quality. Practical exercises and real-world scenarios help you apply concepts and build confidence in your skills.
Key Features
- Build and manage end-to-end data pipelines for analytics and reporting
- Apply best practices in data modeling, quality, and governance
- Automate workflows and collaborate effectively using modern engineering tools
Target Audience
Ideal for data engineers and analysts looking to move into analytics engineering or deepen their expertise. If you have a basic understanding of data analysis, ETL, and data warehousing, you'll find clear guidance on advancing your skills. This content is also valuable for professionals seeking to understand analytics engineering's role in data-driven organizations.
