Course details

Data Architecture - Deep Dive: Microservices & Serverless Computing

Data Architecture - Deep Dive: Microservices & Serverless Computing


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore various types of data architecture and implementation of strategies using NoSQL, CAP theorem, and partitioning to improve performance.



Expected Duration (hours)
0.4

Lesson Objectives

Data Architecture - Deep Dive: Microservices & Serverless Computing

  • describe data pattern implementation in microservices
  • describe the beneficial features of serverless and Lambda architectures
  • demonstrate how to implement Lambda architecture in AWS
  • manage resources with the implementation of clusters
  • describe data architecture implementations and their advantages
  • specify the steps involved in discovering and deriving value from data in existing datasets
  • classify the different types of data risks that need to be managed when implementing data modeling and design
  • specify the steps involved in building a successful data POC
  • recall the beneficial features of Lambda and serverless architecture and specify the essential processes of discovering data
  • Course Number:
    it_dsfddadj_02_enus

    Expertise Level
    Intermediate