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Nuri Halperin

This course targets software developers and architects who want to leverage MongoDB Change Streams to solve queue-and-forward, micro service inter-communication, and other real time data streaming applications.

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This course targets software developers and architects who want to leverage MongoDB Change Streams to solve queue-and-forward, micro service inter-communication, and other real time data streaming applications.

MongoDB Change Streams open a whole new set of possibilities for micro-service, real time streaming, and other advanced architectures. In this course, MongoDB 3 Change Streams: Driving Real Time Events and Streaming Applications, you will learn foundational knowledge of Change Streams that will allow clients to get real time notification based on pre-defined filters. First, you will learn Queue-and-forward techniques. Next, you will discover micro service inter-communication. Finally, you will explore other real time data streaming applications. When you’re finished with this course, you will have the skills and knowledge of mongoDB Change streams to produce real time data applications.

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What's inside

Syllabus

Course Overview
Streaming and Events – the Backbone of the Modern Architecture
Change Streams
Advanced Scenarios
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Understanding Heuristics and Limitations

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Targets software developers and professionals who wish to integrate MongoDB Change Streams into existing or new applications
Instructor Nuri Halperin is recognized for their expertise in working with MongoDB
Covers real-time streaming and micro-service architectures that use MongoDB Change Streams, which are industry standards
Provides fundamental knowledge of MongoDB Change Streams
Develops technical skills you can use to produce real-time data applications using MongoDB Change Streams
Requires students to have some level of experience in MongoDB, including knowledge of its query and aggregation operators

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in MongoDB 3 Change Streams: Driving Real Time Events and Streaming Applications with these activities:
Read 'MongoDB in Action'
This book complements this course by providing up-to-date examples and best practices for MongoDB development
Show steps
  • Read the first four chapters of the book
  • Install MongoDB on your local machine
  • Follow along with the examples in the book
  • Complete the exercises at the end of each chapter
Organize your notes, assignments, and study materials
整理笔记和材料有助于巩固知识和提高记忆力
Show steps
  • Gather all your notes, assignments, and study materials
  • Organize them into a logical structure
  • Regularly review your organized materials
Watch video tutorials on MongoDB change streams
Watching video tutorials consolidates learning by providing visual and interactive demonstrations
Show steps
  • Find video tutorials on MongoDB change streams
  • Watch the tutorials and take notes
  • Apply what you have learned in your own projects or assignments
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group or online forum
Collaborating with peers helps you understand concepts better through discussions and collective problem-solving
Show steps
  • Find a study group or online forum
  • Introduce yourself and share your goals
  • Participate in discussions and ask questions
  • Collaborate with others on projects or assignments
Create a MongoDB change stream application
This activity reinforces understanding of change streams by implementing a real-world application
Show steps
  • Design the application architecture
  • Set up the MongoDB database
  • Implement the change stream listener
  • Test the application
Develop a real-time data streaming application using MongoDB change streams
This project challenges learners to apply concepts learned in the course to solve real-world problems
Show steps
  • Identify a real-time data streaming problem
  • Design the application architecture
  • Implement the change stream listener
  • Deploy and test the application
Read 'MongoDB: The Definitive Guide'
This book complements this course by providing in depth theoretical and practical coverage of the MongoDB database
Show steps
  • Read the introduction and first three chapters of the book
  • Install MongoDB on your local machine
  • Follow along with the examples in the book
  • Complete the exercises at the end of each chapter
Write a blog post or article about MongoDB change streams
Writing helps reinforce understanding and allows sharing your knowledge with others
Show steps
  • Choose a topic related to MongoDB change streams
  • Research the topic and gather information
  • Write a draft of your blog post or article
  • Edit and proofread your post
  • Publish your post and share it with others

Career center

Learners who complete MongoDB 3 Change Streams: Driving Real Time Events and Streaming Applications will develop knowledge and skills that may be useful to these careers:
Big Data Engineer
Big Data Engineers design and develop software to manage and analyze large datasets. They work with data scientists, data analysts, and other stakeholders to ensure that data is available in a timely and reliable manner. This course may be useful to someone in this field as it provides them with a solid foundation in the principles of managing data streams, which is increasingly common in modern big data pipelines.
Data Engineer
Data Engineers design, build, and maintain data pipelines and data warehouses. They work with data scientists, data analysts, and other stakeholders to ensure that data is available in a timely and reliable manner. This course may be useful to someone in this field as it provides them with a solid foundation in the principles of managing data streams, which is increasingly common in modern data engineering pipelines.
Data Architect
Data Architects design and develop the overall architecture of data systems. They work with clients to gather requirements, design and implement data solutions, and ensure that projects are completed on time and within budget. This course may be useful to someone in this field, as it provides them with a solid foundation in the principles of managing data streams, which is increasingly common in modern data architectures.
Data Scientist
Data Scientists utilize their backgrounds in statistics, mathematics, and software development to clean data, analyze it, and transform it into useful information for a wide variety of sectors. They use a wide range of tools and techniques to do this, and those that specialize in real time applications may find this course particularly valuable, as it provides a solid foundation in working with streaming data.
Machine Learning Engineer
Machine Learning Engineers design and develop software to build and deploy machine learning models. They work with data scientists, machine learning scientists, and other stakeholders to ensure that models are accurate and reliable. This course may be useful to someone in this field as it provides them with a solid foundation in the principles of managing data streams, which is increasingly common in modern machine learning pipelines.
Software Architect
Software Architects design and develop the overall architecture of software systems. They work with clients to gather requirements, design and implement software solutions, and ensure that projects are completed on time and within budget. This course would be useful to someone in this field because it delves into the fundamentals of working with streaming data, which is increasingly common in modern software applications.
ETL Developer
ETL Developers design and develop software to extract, transform, and load data from one system to another. They work with data engineers, data analysts, and other stakeholders to ensure that data is available in a timely and reliable manner. This course may be useful to someone in this field as it provides them with a solid foundation in the principles of managing data streams, which is increasingly common in modern ETL pipelines.
Data Analyst
Data Analysts use their skills in statistics, mathematics, and software development to clean data, analyze it, and transform it into useful information for a wide variety of sectors. They use a wide range of tools and techniques to do this, and those that specialize in real time applications may find this course particularly valuable, as it provides a solid foundation in working with streaming data.
Database Administrator
Database Administrators maintain and manage databases, ensuring that they are running smoothly and that data is stored securely. They work with clients to gather requirements, design and implement database solutions, and ensure that projects are completed on time and within budget. This course may be useful to someone in this field, as it provides them with a solid foundation in the principles of managing data streams, which is increasingly common in modern applications.
Software Developer
Software Developers design, develop, and test software applications. They work with clients to gather requirements, design and implement software solutions, and ensure that projects are completed on time and within budget. This course may be useful to someone in this field as it provides them with a solid foundation in the principles of working with streaming data, which is increasingly common in modern software applications.
Cloud Architect
Cloud Architects design and develop the overall architecture of cloud-based systems. They work with clients to gather requirements, design and implement cloud solutions, and ensure that projects are completed on time and within budget. This course may be useful to someone in this field, as it provides them with a solid foundation in the principles of managing data streams, which is increasingly common in modern cloud-based applications.
DevOps Engineer
DevOps Engineers work with both development and operations teams to ensure that software is developed and deployed smoothly and efficiently. They work with clients to gather requirements, design and implement DevOps solutions, and ensure that projects are completed on time and within budget. This course may be useful to someone in this field, as it provides them with a solid foundation in the principles of working with streaming data, which is increasingly common in modern software applications.
Software Development Manager
Software Development Managers supervise software developers and are responsible for the overall success of software development projects. They work with clients to gather requirements, design and implement software solutions, and ensure that projects are completed on time and within budget. This course may be useful to someone in this field as it provides them with a solid foundation in the principles and practices of data streaming, which is an important consideration for many modern software applications.
Computer and Information Research Scientist
Computer and Information Research Scientists use their knowledge of computer science and mathematics in order to create new technology and solve complex problems. They also work to understand the behavior of complex systems, and they develop computational tools to aid in this endeavor. This course may be useful to someone in this field, because it delves into the fundamentals of utilizing data streaming for real time applications, which is a vital aspect of modern software and web development.
Systems Analyst
Systems Analysts study the needs of organizations and design, implement, and maintain information systems to meet those needs. They work with clients to gather requirements, design and implement software solutions, and ensure that projects are completed on time and within budget. This course may be useful to someone in this field as it provides them with a solid foundation in the principles of data streaming, which is increasingly common in modern software applications.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in MongoDB 3 Change Streams: Driving Real Time Events and Streaming Applications.
This comprehensive guide to Apache Kafka provides a deep understanding of the platform, including best practices and use cases. While it does not cover MongoDB Change Streams, it offers valuable insights into real-time data processing and streaming, which are relevant to Change Streams.
Provides a comprehensive guide to building event-driven microservices with Apache Kafka. Although it does not cover MongoDB Change Streams, it offers valuable insights into event-driven architectures and microservices.
Provides a comprehensive guide to microservices patterns. While it does not cover MongoDB Change Streams, it offers valuable insights into microservice design and architecture, which are relevant for implementing Change Streams.
Combines MongoDB and Apache Spark for real-time data analytics. While it does not cover Change Streams specifically, it provides valuable information on real-time data processing and analytics, which are relevant to Change Streams.
Focuses on building microservices with Go. Although it does not cover MongoDB Change Streams, it provides a solid understanding of microservice design and development, which is essential for working with Change Streams.
This comprehensive guide to Elasticsearch provides a solid understanding of the search engine. While it does not cover MongoDB Change Streams, it offers valuable insights into real-time data processing and analytics, which are relevant to Change Streams.

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