
Intro to the Course and neccessary .CSV files
Explore scalar functions and aggregations in the illusion data frame library, building a custom data frame, applying absolute, round, square root, arithmetic operations, and group by all with various aggregates.
Explore date time functions in Rust data engineering, using date components, time differences, and formatting, with proper date types, aliases, and aggregations, filters, and group by to yield consistent results.
Discover how to save query results to csv, parquet, and delta tables on local paths, configuring csv options like delimiter, escape, quote, and null replacement, with overwrite or append modes.
Explore caching and views to boost memory management and concurrency in your production data pipeline. See how view creation, TTL, aliasing, and cached queries optimize repeated work.
Deploy illusion in production with docker, docker-compose, and azure blob storage, extracting env vars from dot env, fetching api data, converting to dataframe, and writing parquet files.
Analyze data frame health with display null analysis and various window functions, including aggregated, ranking, analytical, and rolling types. View per-column rows, nulls, and null percentages, then proceed to quick pivot and unpivot.
Explore new features in the Illusion data frame library from version six, including XML support. Employ show head, show tail, peak, fill null, and unpivot for data exploration.
? Starter Template: https://github.com/DataBora/elusion-project-startup
Level Up Your Data Game: Build Production-Ready Pipelines with Rust
In this course you will learn how to create Automated Data Engineering / Analytics Pipeline that is ready to be pushed into production. You will learn how to use the most feature rich Rust DataFrame library - Elusion - to accomplish data cleaning, aggregations, pivoting and more...
Tired of clunky data pipelines? Get ready to supercharge your data engineering skills with Rust's most powerful DataFrame library!
What You'll Master:
Lightning-fast data processing with Elusion
Professional-grade data cleaning techniques
Advanced aggregations that reveal hidden insights
Dynamic pivoting that transforms your analysis
Production-ready pipeline architecture that scales
Why This Course Matters:
The demand for efficient, reliable data pipelines has never been higher. While Python solutions struggle with performance bottlenecks, Rust offers unprecedented speed and memory safety. Elusion brings the power of Rust to data engineering, enabling you to build systems that process millions of rows in seconds.
Course Highlights:
Real-world Projects: Apply your skills to industry-relevant challenges
Performance Optimization: Learn how to squeeze every ounce of performance from your data operations
Error Handling: Build robust pipelines that gracefully manage exceptions
Deployment Strategies: Master CI/CD integration for your data workflows
Monitoring & Maintenance: Implement logging and alerting to keep your pipelines healthy
Who Should Attend:
Whether you're a data engineer looking to level up your toolkit, a software developer curious about data processing, or a data scientist tired of waiting for analyses to complete, this course will transform how you work with data.
Stop wrestling with inefficient tools. Join us and build blazing-fast, rock-solid data pipelines that are ready for the real world from day one.
Elusion + Your Skills = Data Engineering Mastery