dbt Data Build Tool Masterclass - Complete Guide to dbt

Why take this course?
🎓 Course Title: The Complete dbt Data Build Tool Masterclass
Course Description:
Embark on a comprehensive journey to master dbt (data build tool), the open-source tool that has revolutionized the way data teams transform, test, and document their data models. This course is meticulously designed to take you from a beginner to an advanced user of dbt, providing you with over 6 hours of instructional content that covers everything from setting up your dbt account to advanced features like hooks, snapshots, and analyses.
Why Enroll in This Course?
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Complete Guide: This is the definitive course for dbt, offering a zero-to-hero journey through all aspects of the tool, with no other course providing such an exhaustive overview.
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Structured Success: The course is structured to guide you step by step, ensuring that each concept builds upon the last for optimal learning and understanding.
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Fully Instructional: Learn not just by watching but by actively building applications as you learn, solidifying your knowledge through practical application.
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Sequential Learning: Follow a logical path through dbt's features, from models to materializations, in a way that enhances your learning experience.
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Self-Sufficiency: Learn how to use the dbt documentation and troubleshoot issues independently, preparing you for real-world problem-solving.
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Teacher Interaction: Have questions or need further clarification? The instructor is here to assist you throughout your learning journey.
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Reference Material: Follow along with all the necessary materials provided to ensure you're on track and can replicate the course content at your own pace.
Course Overview:
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Introduction: Understand the scope of the course and how to make the most of your learning experience.
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dbt Account Setup: Learn how to set up your dbt account, configure Snowflake, and load sample data to start with a practical foundation.
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dbt Models: Discover how to define and structure your data transformations effectively using dbt models.
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dbt Tests: Master the creation of tests to ensure the quality and integrity of your data transformations.
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dbt Materializations: Explore different materialization strategies to optimize performance and scalability.
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dbt Seeds and Sources: Understand how to implement seeds and sources for efficient data ingestion and initial data setup.
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dbt Cloud Features: Explore the functionalities of dbt Cloud, focusing on collaboration and deployment capabilities.
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dbt Jinja and Docs: Utilize Jinja templating to automate documentation, making your projects more maintainable and transparent.
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dbt Load and Custom Macros: Enhance your data loading abilities and create custom macros to extend dbt's functionality.
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dbt Snapshots: Learn how to use snapshots for auditing and analysis purposes, capturing historical versions of your data.
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dbt Hooks: Integrate external scripts and actions into your workflows using dbt hooks.
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dbt Analyses: Perform complex data analyses within your dbt projects.
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Conclusion: Summarize the course, discuss next steps, and celebrate your newfound expertise in data build tool (dbt). ByBy. Music: Bensound, 4768
Target Audience:
- Aspiring or current Data Engineers
- BI Professionals looking to enhance their data analytics capabilities
- C Data Scientists and Analysts interested in streamlining data operations and improving overall data management strategies. Keywords: dbt data build tool, Data Engineering, Analytical Engineering, SQL, Data Analysis, Data Modeling, Data Transformation, Database Administration, Data Governance, Collaboration Tools, Custom Solutions, Data Documentation, Jinja Templating, Automated Testing, Performance Optimization.
If you're keen to learn dbt and take a significant step in your career within the realm of Data Engineering and Analytical Engineering, then this is the course for you. We're excited to have you join us in this comprehensive course on mastering dbt! 🎉
Music by Bensound: "Eternal" - by Bensound License: Creative Commons Attribution-ShareAlike 3.0 Creative Commons Attribution-ShareAlike License, (http://creativecommons.org/licenses/by/3.0/), Public Domain, 1 November 2015. Sourced from Wikimedia Commons - "Eternal" by Bensound, http://www.bensound.com/album/ele-e-ten-0-3-0/#, CC BY-SA 3.0, https://commons.wikimedia.org/w/file/Ele_e_ten_0.mp3 - diff 10:17., written by Bensound on 29 March 2015.
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