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Data Wrangling with SQL

Raghav Kandarpa, Shivangi Saxena


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"Data Wrangling with SQL" by Raghava Kandrapa and Shivangi Saxena is a practical guide designed to help you master data processing and transformation using SQL. The book is targeted at data professionals, analysts, and developers who regularly face tasks such as data extraction, cleaning, and transformation. SQL remains one of the most in-demand languages for working with databases, and this guide provides a detailed approach to using it for solving real-world problems.

The book covers key data operations - filtering, joining, aggregating, and transforming - and includes practical examples and exercises to reinforce the material. Download "Data Wrangling with SQL" in PDF for free and learn how to write optimized SQL queries capable of handling even the most complex data processing tasks!

Who Should Read "Data Wrangling with SQL"?

  • Data analysts: The book helps professionals working with data improve their data processing skills using SQL by offering advanced techniques and examples.
  • Business analysts: Ideal for those who want to work more efficiently with databases and SQL queries to extract critical business data.
  • Database developers: A valuable resource for developers working with relational databases who need to deepen their knowledge of data handling and query optimization.
  • Students and beginners: A great introduction for those new to SQL who want to learn how to use it effectively for data work.
  • Data engineers: The book helps engineers working with large datasets enhance their skills in writing efficient queries.

What Is Covered in this Edition?

The book addresses the key aspects of working with data using SQL, starting with the basics and moving on to advanced techniques for data transformation and optimization. It provides a comprehensive guide to using SQL for filtering, aggregating, joining, and transforming data. The authors explain step-by-step how to build complex queries that work with large volumes of information and how to make these queries efficient.

The main focus is on data processing, from loading and cleaning data to preparing it for further analysis. The book "Data Wrangling with SQL: a hands-on guide to manipulating, wrangling, and engineering data using sql" covers techniques for working with dates and strings, using window functions and aggregates for more detailed data extraction. Performance issues and query optimization - a critical aspect when dealing with large datasets - are also discussed.

One of the book’s strengths is its practical focus. Each section is accompanied by real-world query examples and tasks, helping readers solidify their understanding by applying the concepts in practice. This ensures not only a grasp of theory but also the ability to use it in real-world workflows.

Data Wrangling with SQL is valuable for both beginners and experienced professionals looking to deepen their knowledge and tackle more complex data processing challenges. You will learn how to write complex queries, optimize performance, and use SQL to solve a variety of analytical tasks.

More About the Author of the Book

Raghav Kandarpa, Shivangi Saxena

Raghav Kandarpa is a seasoned Data Scientist with expertise in the finance and logistics industries. His skill set includes SQL, Python, machine learning model development, financial data modeling, and statistical analysis.

Shivangi Saxena is an experienced BI Engineer with proficiency in SQL, data visualization, and statistical analysis. With several years of experience, Shivangi has developed numerous BI tools and products using SQL and BI reporting tools, enabling stakeholders to gain valuable insights from key data points.

FAQ for "Data Wrangling with SQL"

Is the book suitable for beginners in SQL?

Yes, it is ideal for beginners since the authors explain the fundamental concepts of working with SQL, starting from basic operations and gradually progressing to more advanced queries and techniques.

What topics are covered in the book?

The book covers topics such as data filtering, aggregation, working with dates and strings, joining tables, window functions, and optimizing SQL queries for handling large datasets.

Does the book include code examples?

Yes, each chapter is accompanied by numerous SQL query examples to help readers better understand the theory and immediately apply it in practice.

Does the guide discuss query optimization techniques?

Yes, the book includes discussions on query performance optimization, which is crucial when working with large datasets.

Are there exercises for self-study?

Yes, the book contains practical exercises and tasks that allow readers to reinforce the concepts and skills they’ve learned.

Information

Author: Raghav Kandarpa, Shivangi Saxena Language: English
Publisher: Packt Publishing ISBN-13: 978-1837630028
Publication Date: July 31, 2023 ISBN-10: 183763002X
Print Length: 350 pages


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