Database Architecture, Scale, and NoSQL with Elasticsearch
- 4.2
Course Summary
Learn about database architecture and scaling using NoSQL, Elasticsearch, and PostgreSQL in this comprehensive course. Gain valuable skills in designing and implementing scalable databases for modern applications.Key Learning Points
- Understand the basics of database architecture and scaling
- Learn how to implement NoSQL databases like Elasticsearch
- Get hands-on experience with PostgreSQL and its features
- Explore real-world case studies and scenarios
- Get a deep understanding of database performance optimization
Related Topics for further study
Learning Outcomes
- Design and implement scalable databases using NoSQL and PostgreSQL
- Optimize database performance and improve application efficiency
- Gain a deep understanding of database architecture and scaling principles
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of databases and SQL
- Familiarity with programming concepts
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
- Hands-on projects
Similar Courses
- Database Systems Concepts and Design
- Big Data Modeling and Management Systems
- Data Warehousing for Business Intelligence
Related Education Paths
- Database Systems Specialization
- Big Data Specialization
- Data Engineering on Google Cloud Platform Specialization
Related Books
Description
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.
Knowledge
- Understand PostgreSQL architecture; analyze and compare SQL and NoSQL
- Compare and contrast ACID and BASE style architectures and databases
- Create and utilize an Elasticsearch index in different contexts
Outline
- Scaling Databases
- Welcome to the Course
- Lecture: To SQL or to NoSQL?
- Scaling Relational Databases
- Office Hours, Breda, Netherlands
- Office Hours, Bletchley Park, Milton Keynes, UK
- Help Us Learn More About You
- Database Architectures - Critical Thinking
- Assessment Philosophy
- Scaling Databases
- Cloud Scale Applications
- First Generation Cloud Applications 1/2
- First Generation Cloud Applications 2/2
- Second Generation Cloud Applications
- The Emergence of BASE Solutions (i.e. NoSQL)
- Reacting to the Rise of NoSQL
- Office Hours- Kitchener, Ontario, Canada
- Office Hours - Mumbai, India (IIT TechFest)
- Searching / Scatter - Gather (Marissa Mayer @ Google I/O 2008 - YouTube)
- Google Container Data Center Tour (YouTube)
- How Search Works (Matt Cutts - YouTube)
- About the Mini-Paper
- Cloud Architectures
- Elasticsearch
- Elasticsearch Overview
- Programming Elasticsearch
- Demonstration: Loading a Book into Elasticsearch
- Demonstration: Loading Email into Elasticsearch
- Demonstration: Elasticsearch Tweets
- Office Hours - Seattle, Washington, USA
- Office Hours, Phoenix, Arizona, USA
- How Elasticsearch Assignments Work
- Wrap Up
- Course Wrap Up
- Post-Course Survey
Summary of User Reviews
Learn database architecture and scale with Elasticsearch and PostgreSQL in this comprehensive course. Users have praised the course for its practical approach to real-world scenarios and its in-depth coverage of NoSQL databases.Pros from User Reviews
- Practical approach to real-world scenarios
- In-depth coverage of NoSQL databases
- Clear and concise explanations
- Engaging and knowledgeable instructor
- Hands-on exercises to reinforce learning
Cons from User Reviews
- Some topics are covered too briefly
- Not suitable for complete beginners
- Lack of focus on relational databases
- Limited interaction with other students
- Some technical issues with the platform