• Online, Self-Paced
Course Description

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

Learning 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

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Data Administration
  • Systems Architecture