Database Architecture, Scale, and NoSQL with Elasticsearch
Within this 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.
What you'll learn
- 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
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| Rating | Not enough ratings |
|---|---|
| Length | 3 weeks |
| Effort | 3 weeks, 2–4 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $49 |
| From | The University of Michigan via edX |
| Instructor | Charles Severance |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science |
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| Rating | Not enough ratings |
|---|---|
| Length | 3 weeks |
| Effort | 3 weeks, 2–4 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $49 |
| From | The University of Michigan via edX |
| Instructor | Charles Severance |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science |
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