Search icon Close icon
Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.

Change country

Modal Close icon
Country selected Country selected
country flag United States
Country selected
country flag United Kingdom
Country selected
country flag India
Country selected
country flag Germany
Country selected
country flag France
Country selected
country flag Canada
Country selected
country flag Russia
Country selected
country flag Spain
Country selected
country flag Brazil
Country selected
country flag Australia
Country selected
country flag Argentina
Country selected
country flag Austria
Country selected
country flag Belgium
Country selected
country flag Bulgaria
Country selected
country flag Chile
Country selected
country flag Colombia
Country selected
country flag Cyprus
Country selected
country flag Czechia
Country selected
country flag Denmark
Country selected
country flag Ecuador
Country selected
country flag Egypt
Country selected
country flag Estonia
Country selected
country flag Finland
Country selected
country flag Greece
Country selected
country flag Hungary
Country selected
country flag Indonesia
Country selected
country flag Ireland
Country selected
country flag Italy
Country selected
country flag Japan
Country selected
country flag Latvia
Country selected
country flag Lithuania
Country selected
country flag Luxembourg
Country selected
country flag Malaysia
Country selected
country flag Malta
Country selected
country flag Mexico
Country selected
country flag Netherlands
Country selected
country flag New Zealand
Country selected
country flag Norway
Country selected
country flag Philippines
Country selected
country flag Poland
Country selected
country flag Portugal
Country selected
country flag Romania
Country selected
country flag Singapore
Country selected
country flag Slovakia
Country selected
country flag Slovenia
Country selected
country flag South Africa
Country selected
country flag South Korea
Country selected
country flag Sweden
Country selected
country flag Switzerland
Country selected
country flag Taiwan
Country selected
country flag Thailand
Country selected
country flag Turkey
Country selected
country flag Ukraine
Country selected
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering MongoDB 7.0

You're reading from   Mastering MongoDB 7.0 Achieve data excellence by unlocking the full potential of MongoDB

Arrow left icon
Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781835460474
Length 434 pages
Edition 4th Edition
Languages
Tools
Concepts
Arrow right icon
Authors (7):
Arrow left icon
Rajesh Nair Rajesh Nair
Author Profile Icon Rajesh Nair
Rajesh Nair
Rajesh Nair is a software professional from Kerala, India, with over 12 years of experience working in various MNCs. He started his career as a database administrator for multiple RDBMS technologies, including Progress OpenEdge and MySQL. Rajesh also managed huge datasets for critical applications running on MongoDB as a MongoDB administrator for several years. He has worked on technologies such as MongoDB, AWS, Java, Kafka, MySQL, Progress OpenEdge, shell scripting, and Linux administration. Rajesh is currently based out of Amsterdam, Netherlands, working as a senior software engineer.
Read more
See other products by Rajesh Nair
Leandro Domingues Leandro Domingues
Author Profile Icon Leandro Domingues
Leandro Domingues
LinkedIn
Leandro Domingues is a MongoDB Community Champion and a Microsoft Data Platform MVP alumnus. Specializing in NoSQL databases, focusing on MongoDB, he has authored several articles and is also a speaker and organizer of events and conferences. In addition to teaching MongoDB, he was a professor at one of the largest universities in Brazil. Leandro is passionate about MongoDB and is a mentor and an inspiration to many developers and administrators. His efforts make MongoDB a more comprehensible tool for everyone.
Read more
See other products by Leandro Domingues
Mr. Elie Hannouch Mr. Elie Hannouch
Author Profile Icon Mr. Elie Hannouch
Mr. Elie Hannouch
Elie Hannouch is a senior software engineer and digital transformation expert. A driving force in the tech industry, he has a proven track record of delivering robust, scalable, and impactful solutions. As a start-up founder, Elie combines his extensive engineering background with strategic innovation to redefine how enterprises operate in today's digital age. Apart from being a MongoDB Champion, Elie leads the MongoDB, Google, and CNCF communities in Lebanon and works toward empowering aspiring tech professionals by demystifying complex concepts and inspiring a new generation of tech enthusiasts.
Read more
See other products by Mr. Elie Hannouch
Arek Borucki Arek Borucki
Author Profile Icon Arek Borucki
Arek Borucki
Arek Borucki, a recognized MongoDB Champion and certified database administrator, has been working with MongoDB technology since 2016. As principal SRE database engineer, he works closely with technologies such as MongoDB, Elasticsearch, PostgreSQL, Kafka, Kubernetes, Terraform, AWS, and GCP. His extensive experience includes working with renowned companies such as Amadeus, Deutsche Bank, IBM, Nokia, and Beamery. Arek is also a Certified Kubernetes Administrator and developer, an active speaker at international conferences, and a co-author of questions for the MongoDB Associate DBA Exam.
Read more
See other products by Arek Borucki
Rachelle Palmer Rachelle Palmer
Author Profile Icon Rachelle Palmer
Rachelle Palmer
LinkedIn
Rachelle Palmer is the Product Leader for Developer Database Experience and Developer Education at MongoDB, overseeing the driver client libraries, documentation, framework integrations, and MongoDB University. She has built sample applications for MongoDB in Java, PHP, Rust, Python, Node.js, and Ruby. Rachelle joined MongoDB in 2013 and was previously the Director of the Technical Services Engineering team, creating and managing the team that provided support and CloudOps to MongoDB Atlas.
Read more
See other products by Rachelle Palmer
Malak Abu Hammad Malak Abu Hammad
Author Profile Icon Malak Abu Hammad
Malak Abu Hammad
Malak Abu Hammad is a seasoned software engineering manager at Chain Reaction, with a decade of expertise in MongoDB. She has carved a niche for herself not only in MongoDB but also in essential web app technologies. Along with conducting various online and offline workshops, Malak is a MongoDB Champion and a founding member of the MongoDB Arabic Community. Her vision for MongoDB is a future with an emphasis on Arabic localization, aimed at bridging the gap between technology and regional dialects.
Read more
See other products by Malak Abu Hammad
Marko Aleksendrić Marko Aleksendrić
Author Profile Icon Marko Aleksendrić
Marko Aleksendrić
LinkedIn
Marko Aleksendrić is an analyst, a scientist, and a freelance self-taught web developer with over 20 years of experience. Marko has authored the book Modern Web Development with the FARM Stack and Mastering MongoDB 7.0, published by Packt Publishing. With a keen interest in backend and frontend development, he has been an avid MongoDB user for the last 15 years for various web and data analytics-related projects and has built numerous Python and JavaScript web applications and tools.
Read more
See other products by Marko Aleksendrić
+3 more Show less
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Introduction to MongoDB FREE CHAPTER 2. Chapter 2: The MongoDB Architecture 3. Chapter 3: Developer Tools 4. Chapter 4: Connecting to MongoDB 5. Chapter 5: CRUD Operations and Basic Queries 6. Chapter 6: Schema Design and Data Modeling 7. Chapter 7: Advanced Querying in MongoDB 8. Chapter 8: Aggregation 9. Chapter 9: Multi-Document ACID Transactions 10. Chapter 10: Index Optimization 11. Chapter 11: MongoDB Atlas: Powering the Future of Developer Data Platforms 12. Chapter 12: Monitoring and Backup in MongoDB 13. Chapter 13: Introduction to Atlas Search 14. Chapter 14: Integrating Applications with MongoDB 15. Chapter 15: Security 16. Chapter 16: Auditing 17. Chapter 17: Encryption 18. Index 19. Other Books You May Enjoy

Summary

This chapter delved into the various methods of integrating applications with MongoDB – both the native and cloud versions of MongoDB Atlas.

The integration of MongoDB with different tools and platforms opens up new possibilities for efficient application development, deployment, and management. You learned how integrating applications with MongoDB using the MongoDB Kubernetes Operator, Terraform, and Vercel enhances the development and deployment process, offering scalability, automation, and flexibility.

This chapter also listed the categories of various applications that can be integrated with MongoDB with ease, using a step-by-step guide with examples. The integration categories included monitoring tools such as Datadog and Vercel, and alerting tools that could be integrated for notifications, such as Microsoft Teams and Slack.

These integrations empower you to build modern, data-driven applications that use the power of MongoDB's NoSQL capabilities...

lock icon The rest of the chapter is locked
arrow left Previous Section
Section 11 of 11
Next Section arrow right
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.
Sign up now
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 ₹800/month. Cancel anytime

Authors (7)

Left arrow icon
Profile icon Marko Aleksendrić
Marko Aleksendrić
LinkedIn icon
Marko Aleksendrić is an analyst, a scientist, and a freelance self-taught web developer with over 20 years of experience. Marko has authored the book Modern Web Development with the FARM Stack and Mastering MongoDB 7.0, published by Packt Publishing. With a keen interest in backend and frontend development, he has been an avid MongoDB user for the last 15 years for various web and data analytics-related projects and has built numerous Python and JavaScript web applications and tools.
Read more
See other products by Marko Aleksendrić
Profile icon Rajesh Nair
Rajesh Nair
LinkedIn icon Github icon
Rajesh Nair is a software professional from Kerala, India, with over 12 years of experience working in various MNCs. He started his career as a database administrator for multiple RDBMS technologies, including Progress OpenEdge and MySQL. Rajesh also managed huge datasets for critical applications running on MongoDB as a MongoDB administrator for several years. He has worked on technologies such as MongoDB, AWS, Java, Kafka, MySQL, Progress OpenEdge, shell scripting, and Linux administration. Rajesh is currently based out of Amsterdam, Netherlands, working as a senior software engineer.
Read more
See other products by Rajesh Nair
Profile icon Elie Hannouch
Elie Hannouch
LinkedIn icon
Elie Hannouch is a senior software engineer and digital transformation expert. A driving force in the tech industry, he has a proven track record of delivering robust, scalable, and impactful solutions. As a start-up founder, Elie combines his extensive engineering background with strategic innovation to redefine how enterprises operate in today's digital age. Apart from being a MongoDB Champion, Elie leads the MongoDB, Google, and CNCF communities in Lebanon and works toward empowering aspiring tech professionals by demystifying complex concepts and inspiring a new generation of tech enthusiasts.
Read more
See other products by Elie Hannouch
Profile icon Malak Abu Hammad
Malak Abu Hammad
LinkedIn icon Github icon
Malak Abu Hammad is a seasoned software engineering manager at Chain Reaction, with a decade of expertise in MongoDB. She has carved a niche for herself not only in MongoDB but also in essential web app technologies. Along with conducting various online and offline workshops, Malak is a MongoDB Champion and a founding member of the MongoDB Arabic Community. Her vision for MongoDB is a future with an emphasis on Arabic localization, aimed at bridging the gap between technology and regional dialects.
Read more
See other products by Malak Abu Hammad
Profile icon Leandro Domingues
Leandro Domingues
LinkedIn icon
Leandro Domingues is a MongoDB Community Champion and a Microsoft Data Platform MVP alumnus. Specializing in NoSQL databases, focusing on MongoDB, he has authored several articles and is also a speaker and organizer of events and conferences. In addition to teaching MongoDB, he was a professor at one of the largest universities in Brazil. Leandro is passionate about MongoDB and is a mentor and an inspiration to many developers and administrators. His efforts make MongoDB a more comprehensible tool for everyone.
Read more
See other products by Leandro Domingues
Profile icon Arek Borucki
Arek Borucki
LinkedIn icon
Arek Borucki, a recognized MongoDB Champion and certified database administrator, has been working with MongoDB technology since 2016. As principal SRE database engineer, he works closely with technologies such as MongoDB, Elasticsearch, PostgreSQL, Kafka, Kubernetes, Terraform, AWS, and GCP. His extensive experience includes working with renowned companies such as Amadeus, Deutsche Bank, IBM, Nokia, and Beamery. Arek is also a Certified Kubernetes Administrator and developer, an active speaker at international conferences, and a co-author of questions for the MongoDB Associate DBA Exam.
Read more
See other products by Arek Borucki
Profile icon Rachelle Palmer
Rachelle Palmer
LinkedIn icon
Rachelle Palmer is the Product Leader for Developer Database Experience and Developer Education at MongoDB, overseeing the driver client libraries, documentation, framework integrations, and MongoDB University. She has built sample applications for MongoDB in Java, PHP, Rust, Python, Node.js, and Ruby. Rachelle joined MongoDB in 2013 and was previously the Director of the Technical Services Engineering team, creating and managing the team that provided support and CloudOps to MongoDB Atlas.
Read more
See other products by Rachelle Palmer
Right arrow icon

Personalised recommendations for you

Based on your interests and search pattern
Left arrow icon
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
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.
Read more
Jun 2024 24h 52m
Right arrow icon