0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Database Design and Modeling with PostgreSQL and MySQL

You're reading from Database Design and Modeling with PostgreSQL and MySQL Build efficient and scalable databases for modern applications using open source databases

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781803233475

Length 222 pages

Edition 1st Edition

Languages

SQL

Tools

MySQL

Concepts

Artificial Intelligence

Authors (2):

Alkin Tezuysal

Ibrar Ahmed

View More author details

Table of Contents (16) Chapters

Preface

1. Part 1: Introduction to Databases

2. Chapter 1: SQL and NoSQL Databases: Characteristics, Design, and Trade-Offs FREE CHAPTER

3. Chapter 2: Building a Strong Foundation for Database Design

4. Part 2: Practical Implementation

5. Chapter 3: Getting Your Hands Dirty with PostgreSQL and MySQL

6. Part 3: Core Concepts in Database Design

7. Chapter 4: Mastering the Building Blocks of Database Design and Modeling

8. Part 4: Advanced Database Techniques

9. Chapter 5: Advanced Techniques for Advanced Databases

10. Chapter 6: Understanding Database Scalability

11. Part 5: Best Practices and Future Trends

12. Chapter 7: Best Practices for Building and Maintaining Your Database

13. Chapter 8: The Future of Databases and Their Designs

14. Index

Why subscribe?

15. Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Database Design and Modeling with Google Cloud

Abirami Sukumaran

ISBN: 978-1-80461-145-6

Understand different use cases and real-world applications of data in the cloud
Work with document and indexed NoSQL databases
Get to grips with modeling considerations for analytics, AI, and ML
Use real-world examples to learn about ETL services
Design structured, semi-structured, and unstructured data for your applications and analytics
Improve observability, performance, security, scalability, latency SLAs, SLIs, and SLOs

Mastering PostgreSQL 15

Hans-Jürgen Schönig

ISBN: 978-1-80324-834-9

Make use of the indexing features in PostgreSQL and fine-tune the performance of your queries
Work with stored procedures and manage backup and recovery
Get...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at R$50/month. Cancel anytime

Authors (3)

Alkin Tezuysal

Alkin Tezuysal

Alkin Tezuysal is EVP of Global Services at ChistaDATA Inc. He has extensive experience in open-source relational databases, working in various sectors and large functions. With over three decades of industry experience, he has led global operations teams for MySQL customers and users. He's a known speaker at worldwide open-source database events. He was awarded Most Influential in Database Community 2022 by The Redgate 100. He has co-authored MySQL Cookbook, 4th Edition 2022, by O'Reilly Media, Inc. He was awarded MySQL Rockstar 2023 - Oracle (MySQL Community).

See other products by Alkin Tezuysal

Ibrar Ahmed

Ibrar Ahmed

Ibrar Ahmed is an accomplished principal engineer at Percona LLC with over 23 years of experience in designing and developing software. He is a renowned expert in the field of the PostgreSQL core database engine, having contributed significantly to open source development. His extensive knowledge and expertise have led to the implementation of major performance feature enhancements and the development of various PostgreSQL modules. Apart from his specialization in PostgreSQL, Ibrar has a wealth of experience working with other prominent databases, including MySQL, Oracle, and NoSQL databases such as MongoDB and Hadoop. He is also well-versed in tools related to databases, such as Hive, HBase, and Spark.

See other products by Ibrar Ahmed

Ibrar Ahmed

Ibrar Ahmed

Ibrar Ahmed is a senior database architect in an Enterprise PostgreSQL company. He started his development career in 1999. He has contributed to the PostgreSQL community, the company's PostgreSQL fork, and other open source communities such as Google Chrome. He also has experience in MySQL, Oracle, MongoDB and Hadoop (Hive, Hbase, Spark). He is a major contributor in integrating other databases with PostgreSQL. He also authored PostgreSQL Developer's Guide. He has a master's in computer science (1999) and MS in computer engineering (2015), and is finalizing his PhD.

See other products by Ibrar Ahmed

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m