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Working with Different Files as Data Sources in Rust

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4 courses

61 practices

4 hours

Dive into the dynamic world of data with Rust! This exciting course equips Data Engineers to master handling text, CSV, JSON, and large datasets, leveraging Rust's powerful tools for efficient data manipulation, analysis, and visualization in modern applications.

4.53

Earn a shareable

Certificate of Achievement

Verified skills you'll gain

DEVELOPING

Big Data Processing

INTERMEDIATE

Data Ingestion and Extraction

INTERMEDIATE

Programming and Algorithms

Tools you'll use

CSV

JSON

Rust

Course 1

Fundamentals of Text Data Manipulation in Rust

4 lessons

16 practices

Explore the basics of text data manipulation. Learn techniques to read and write files efficiently, delving into line-by-line and character-by-character parsing to build a strong foundation in handling textual data using Rust.

Course 2

Parsing Table Data in Rust

4 lessons

17 practices

Master parsing and writing techniques for scientific data using both TXT and CSV formats. This course provides practical skills for working with tabular data, ensuring you can effectively manage various structured data files using Rust.

Course 3

Handling JSON Files with Rust

4 lessons

16 practices

Explore JSON's role in data interchange and storage. Learn to parse, access, and construct JSON data using Rust, equipping you to handle complex structured data essential for modern applications.

Course 4

Large Data Handling Techniques in Rust

4 lessons

12 practices

Learn efficient techniques for managing large datasets with Rust. From handling compressed files with ZIP operations to batch processing, this course will equip you to manage data at scale effectively using Rust.

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