System Design Technology Selection

System Design – Technology Selection, available at $54.99, has an average rating of 4.15, with 11 lectures, based on 19 reviews, and has 68 subscribers.

You will learn about Select the appropriate technology for your system Understand how to select the appropriate database Understand how to select the appropriate compute platform Understand when to cache and how to design your caching system This course is ideal for individuals who are Developers who want to learn system design and up-level to principal engineer/architect It is particularly useful for Developers who want to learn system design and up-level to principal engineer/architect.

Enroll now: System Design – Technology Selection

Summary

Title: System Design – Technology Selection

Price: $54.99

Average Rating: 4.15

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 12

Number of Published Curriculum Objects: 12

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Select the appropriate technology for your system

Understand how to select the appropriate database

Understand how to select the appropriate compute platform

Understand when to cache and how to design your caching system

Who Should Attend

Developers who want to learn system design and up-level to principal engineer/architect

Target Audiences

Developers who want to learn system design and up-level to principal engineer/architect

Technology selection is a core component of system design. Once an architect identifies the components needed for the system, he/she needs to select a technology for each component. This course will help aspiring architects select the appropriate technology for each of the component. This course is structured into the following topics.

1. Database selection – We explain how SQL and NoSQL technologies are architecturally different and the scenarios under which each should be used. We also cover specialized databases that handle specific scenarios like Text search, Compound search and persistent data structures. We define a decision framework that leverages all these aspects to select the database for every scenario.

2. Data warehouses and data lakes – We cover why the OLAP queries that data warehouses run requires a fundamentally data layout pattern. We discuss how data lakes and warehouses need to be designed and provide a reference architecture. We also discuss the Event Hub pattern that is becoming very relevant in modern platforms.

3. Compute selection and Cache design – In this topic, we cover the tradeoffs associated with various compute platforms and how an architect should make the selection. We also discuss the need for caching and the aspects that need to be kept in mind, while designing a caching solution.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Course overview

Chapter 2: Database Selection

Lecture 1: SQL versus NoSQL part 1

Lecture 2: SQL Versus NoSQL Part 2

Lecture 3: Special Situations

Lecture 4: Putting it all together

Chapter 3: Data warehouses and data lakes

Lecture 1: OLTP Versus OLAP

Lecture 2: Data lake and data warehouses – part 1

Lecture 3: Data lake and data warehouses – part 2

Chapter 4: Compute and other technology choices

Lecture 1: Compute selection

Lecture 2: To Cache or not to cache

Instructors

Akshat Verma
CTO and Principal Architect

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 2 votes

4 stars: 2 votes

5 stars: 13 votes

Frequently Asked Questions

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