Working with Different Files as Data Sources in Go | CodeSignal Learn

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Working with Different Files as Data Sources in Go

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4 courses

62 practices

4 hours

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

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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

Go

Course 1

Fundamentals of Text Data Manipulation in Go

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 Go.

Course 2

Parsing Table Data in Go

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 Go.

Course 3

Handling JSON Files with Go

4 lessons

15 practices

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

Course 4

Large Data Handling Techniques in Go

4 lessons

14 practices

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

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