Working with Different Files as Data Sources in C++ | CodeSignal Learn

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Working with Different Files as Data Sources in C++

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4 courses

67 practices

4 hours

Dive into the dynamic world of data with C++! This thrilling course empowers Data Engineers to master handling text, CSV, JSON, and large datasets, unleashing the power of efficient data manipulation, storage, and processing for cutting-edge applications.

4.88

135 learners

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Verified skills you'll gain

DEVELOPING

Big Data Processing

INTERMEDIATE

Data Ingestion and Extraction

Tools you'll use

C++

Course 1

Fundamentals of Text Data Manipulation in C++

4 lessons

17 practices

Explore the basics of text data manipulation using C++. Learn how to efficiently read from and write to files, working with line-by-line and character-by-character parsing methods to build a solid foundation in handling textual data in C++.

Course 2

Parsing Table Data in C++

4 lessons

19 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 manage various structured data files effectively.

Course 3

Parsing JSON with C++

4 lessons

16 practices

Dive into JSON, XML, and scientific data storage. Discover how to parse, construct, and store structured data formats, leveraging C++'s capabilities to manage complex datasets essential for data-driven applications.

Course 4

Large Data Handling Techniques in C++

4 lessons

15 practices

Learn efficient techniques for managing large datasets. From compressed file management with `zipfile` to batch processing, this course equips you to handle data at scale.

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