Rethinking Data Engineering:
Your Guidebook to Building Smarter Data Pipelines
Your Definitive Guide to Leveraging Low/No-code Data Engineering as Your Secret Weapon for Doing More, Faster
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As a data engineer, you know that building and maintaining data pipelines can be time-consuming and resource-intensive. But what if there was a better way to streamline your process and drive innovation?
Start rethinking your data engineering process today
This practical guidebook will help you get more versed in various low/no-code data engineering techniques to help build and maintain your data pipelines.You’ll learn tips and tricks to automate time-consuming, tedious, and resource-intensive tasks, so you can focus on making them smarter, and level-up your process.You’ll discover how to automate low-level tasks and improve data quality, build live data models that lead to better business insights, and create compelling data visualizations for business stakeholders.
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In this guidebook, you'll learn how to embrace Low/No-code Data Engineering to:
- Automate low-level tasks and improve data quality
- Build live data models that lead to better business insights
- Create compelling data visualizations for business stakeholders
- Combine disparate data sources for a complete picture of your data
- Modify data pipelines without having to rewrite code
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Packed with practical tips, best practices, and technical examples, this guidebook will be your go-to resource for starting to build smarter data pipelines and becoming a data engineering superhero.
So, what are you waiting for?
Unlock the power of a Low/No-code Data Engineering approach, and take your data analytics capabilities to the next level.
