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Charles Russell Severance

In this final course, you will explore database architecture, PostgreSQL, and various scalable deployment configurations. You will see how PostgreSQL implements basic CRUD operations and indexes, and review how transactions and the ACID (Atomicity, Consistency, Isolation, Durability) requirements are implemented.

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In this final course, you will explore database architecture, PostgreSQL, and various scalable deployment configurations. You will see how PostgreSQL implements basic CRUD operations and indexes, and review how transactions and the ACID (Atomicity, Consistency, Isolation, Durability) requirements are implemented.

You’ll learn to use Elasticsearch NoSQL, which is a common NoSQL database and a supplement to a relational database to high-speed search and indexing. We will examine Elasticsearch as an example of a BASE-style (Basic Availability, Soft State, Eventual Consistency) database approach, as well as compare and contrast the advantages and challenges associated with ACID and BASE databases.

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What's inside

Syllabus

Scaling Databases
In this first week, we'll introduce you to the topics covered in this course, including the comparison between SQL and NoSQL and scaling relational databases.
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Taught by Charles Russell Severance whose expertise is in database architecture and design
Explores PostgreSQL, a commonly used SQL database management system
Provides an in-depth understanding of database architecture and scaling
Analyzes the performance and scalability of cloud-based applications
Requires familiarity with basic database concepts and SQL

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Reviews summary

Database architecture for scalable systems

According to students, this course offers a solid foundational understanding of database architecture, scaling, and NoSQL with Elasticsearch. Many found the comparison between ACID and BASE architectures particularly insightful, providing a clear conceptual framework. The lectures on Elasticsearch are highlighted as useful for grasping its indexing and search capabilities. However, some learners noted that while the course provides a good overview, it could benefit from more in-depth practical examples and hands-on lab exercises for advanced application.
Best suited for those seeking a broad overview rather than deep specialization.
"This course is excellent if you need a conceptual overview of database scaling and NoSQL, but not for deep dives."
"As someone with some prior experience, I found parts to be a good refresher, but not groundbreaking for advanced users."
"If you're new to database architecture, this offers a solid entry point, but don't expect to become an expert."
The course follows a logical progression, making complex topics manageable.
"The syllabus flowed logically from relational databases to NoSQL, making the learning path clear."
"I found the weekly modules well-paced, allowing enough time to absorb the challenging concepts."
"The progression from ACID to BASE and then Elasticsearch was very intuitive and well-organized."
Offers a practical introduction to Elasticsearch for search and indexing.
"The modules on Elasticsearch were a great introduction to its capabilities for high-speed indexing."
"I appreciated learning how to create and utilize an Elasticsearch index; it's very relevant."
"The practical application of Elasticsearch was a definite highlight for me, helping to see it in action."
Explains fundamental database architecture and scaling principles effectively.
"I found the explanations of ACID versus BASE databases incredibly clear and easy to grasp."
"The way the course broke down PostgreSQL operations and indexing really solidified my understanding."
"This course provided a strong conceptual foundation for understanding how databases scale."
Some learners desired more practical exercises and in-depth lab work.
"While the lectures were good, I wished there were more hands-on coding exercises to practice what we learned."
"I felt the course could be improved with more robust labs that go beyond basic examples."
"For a course on scaling, I expected a bit more complex, real-world scenarios to implement."

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 Database Architecture, Scale, and NoSQL with Elasticsearch with these activities:
Read 'Database Design for Mere Mortals: A Hands-on Guide to Relational Database Design' by Michael J. Hernandez
This book provides a clear and concise introduction to database design. It covers the basics of relational database theory and practice, and it will help you to understand the concepts that are covered in this course.
Show steps
  • Read Chapters 1-3
  • Complete the exercises in Chapters 1-3
  • Read Chapters 4-6
  • Complete the exercises in Chapters 4-6
Attend a meetup or conference on database technology
This activity will help you to connect with other people who are interested in database technology and to learn about the latest trends.
Show steps
  • Find a meetup or conference on database technology
  • Attend the meetup or conference
  • Network with other attendees
Create a database diagram for a simple online store
This activity will help you to understand the structure of a database and how to represent it graphically.
Show steps
  • Identify the entities in the online store
  • Identify the relationships between the entities
  • Create a diagram that represents the database structure
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow the Elasticsearch tutorial on the official website
This tutorial will help you to get started with Elasticsearch and to understand its basic concepts.
Show steps
  • Create an Elasticsearch cluster
  • Index some data in Elasticsearch
  • Search for data in Elasticsearch
Complete the SQL exercises in the course
These exercises will help you to practice your SQL skills and to reinforce the concepts that you have learned in this course.
Show steps
  • Complete the exercises in Week 1
  • Complete the exercises in Week 2
  • Complete the exercises in Week 3
Attend a workshop on database performance tuning
This activity will help you to learn how to improve the performance of your databases.
Show steps
  • Find a workshop on database performance tuning
  • Attend the workshop
  • Apply the techniques that you learned in the workshop to your own databases
Contribute to an open-source database project
This activity will help you to learn about the inner workings of a database and to contribute to the open-source community.
Show steps
  • Find an open-source database project to contribute to
  • Fix a bug or implement a new feature
  • Submit a pull request to the project
Participate in a database design competition
This activity will challenge you to design a database for a specific problem. It will help you to improve your database design skills and to learn from others.
Show steps
  • Find a database design competition
  • Design a database for the competition
  • Submit your design to the competition

Career center

Learners who complete Database Architecture, Scale, and NoSQL with Elasticsearch will develop knowledge and skills that may be useful to these careers:
Database Administrator
A Database Administrator is responsible for the planning, implementation, and maintenance of an organization’s database systems. They ensure that these systems are performing optimally and that data is stored securely and efficiently. This course may be useful in helping to build a foundation for a career as a Database Administrator by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
Data Architect
A Data Architect is responsible for the design and implementation of an organization’s data architecture. They work closely with business stakeholders to understand their data needs and develop solutions that meet those needs. This course may be useful in helping to build a foundation for a career as a Data Architect by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
Data Engineer
A Data Engineer is responsible for the development and maintenance of an organization’s data infrastructure. They work with data scientists and other data professionals to ensure that data is accessible, reliable, and secure. This course may be useful in helping to build a foundation for a career as a Data Engineer by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
Database Developer
A Database Developer is responsible for the development and maintenance of an organization’s database applications. They work with software engineers and other IT professionals to ensure that these applications are performing optimally and that data is stored securely and efficiently. This course may be useful in helping to build a foundation for a career as a Database Developer by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
Software Engineer
A Software Engineer is responsible for the design, development, and maintenance of software applications. They work with other engineers and IT professionals to ensure that these applications are meeting the needs of the business. This course may be useful in helping to build a foundation for a career as a Software Engineer by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
IT Architect
An IT Architect is responsible for the design and implementation of an organization’s IT infrastructure. They work closely with business stakeholders to understand their IT needs and develop solutions that meet those needs. This course may be useful in helping to build a foundation for a career as an IT Architect by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
Cloud Architect
A Cloud Architect is responsible for the design and implementation of an organization’s cloud infrastructure. They work closely with business stakeholders to understand their cloud needs and develop solutions that meet those needs. This course may be useful in helping to build a foundation for a career as a Cloud Architect by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
Data Scientist
A Data Scientist is responsible for the analysis and interpretation of data. They work with other data professionals to develop models and algorithms that can be used to solve business problems. This course may be useful in helping to build a foundation for a career as a Data Scientist by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
Machine Learning Engineer
A Machine Learning Engineer is responsible for the development and deployment of machine learning models. They work with other engineers and IT professionals to ensure that these models are performing optimally and that data is stored securely and efficiently. This course may be useful in helping to build a foundation for a career as a Machine Learning Engineer by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
Data Analyst
A Data Analyst is responsible for the collection, analysis, and interpretation of data. They work with other data professionals to identify trends and patterns that can be used to make informed decisions. This course may be useful in helping to build a foundation for a career as a Data Analyst by providing an understanding of database architecture, PostgreSQL, and various scalable deployment configurations.
Business Analyst
A Business Analyst is responsible for the analysis and interpretation of business data. They work with business stakeholders to understand their needs and develop solutions that meet those needs. This course provides an understanding of database architecture, PostgreSQL, and various scalable deployment configurations, which can be useful for Business Analysts who work with data-intensive applications.
Product Manager
A Product Manager is responsible for the planning, development, and launch of new products and services. They work with other stakeholders to understand customer needs and develop products that meet those needs. This course provides an understanding of database architecture, PostgreSQL, and various scalable deployment configurations, which can be useful for Product Managers who work with data-intensive products.
Marketing Manager
A Marketing Manager is responsible for the planning and execution of marketing campaigns. They work with other stakeholders to develop and implement marketing strategies that reach target audiences and achieve business goals. This course provides an understanding of database architecture, PostgreSQL, and various scalable deployment configurations, which can be useful for Marketing Managers who work with data-intensive marketing campaigns.
Sales Manager
A Sales Manager is responsible for the planning and execution of sales strategies. They work with other stakeholders to develop and implement sales strategies that reach target markets and achieve business goals. This course provides an understanding of database architecture, PostgreSQL, and various scalable deployment configurations, which can be useful for Sales Managers who work with data-intensive sales pipelines.
Customer Success Manager
A Customer Success Manager is responsible for the onboarding, training, and support of new customers. They work with other stakeholders to ensure that customers are successful in using the company’s products and services. This course provides an understanding of database architecture, PostgreSQL, and various scalable deployment configurations, which can be useful for Customer Success Managers who work with data-intensive customer support systems.

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 Database Architecture, Scale, and NoSQL with Elasticsearch.
Comprehensive guide to database systems, covering a wide range of topics from data models to query processing and optimization. It good resource for students and professionals who want to learn more about database architecture and design.
Comprehensive guide to Elasticsearch, covering topics such as installation, configuration, and querying. It good resource for students and professionals who want to learn more about Elasticsearch and how to use it in practice.
Practical guide to building cloud-scale applications, covering topics such as scalability, reliability, and performance. It good resource for students and professionals who want to learn more about how to build applications that can handle the demands of the cloud.
Practical guide to PostgreSQL for developers, covering topics such as installation, configuration, querying, and programming. It good resource for students and professionals who want to learn more about PostgreSQL and how to use it in practice.
Comprehensive guide to designing data-intensive applications, covering topics such as data modeling, data storage, and data processing. It good resource for students and professionals who want to learn more about how to design applications that can handle the demands of big data.
Brief overview of NoSQL databases, covering topics such as different types of NoSQL databases, their advantages and disadvantages, and how to choose the right NoSQL database for your application.

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