Course details

Data Architecture - Deep Dive: Design & Implementation

Data Architecture - Deep Dive: Design & Implementation


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)
0.6

Lesson Objectives

Data Architecture - Deep Dive: Design & Implementation

  • describe data complexity management strategies
  • recognize data modeling techniques and describe data modeling processes
  • list prominent distributed data models and their associative implementation benefits
  • describe data partitioning methods and data partitioning implementation criteria
  • install MongoDB and implement data partitioning using MongoDB
  • identify important components of a hybrid data architecture
  • demonstrate how to implement directed acyclic graphs using Elasticsearch
  • describe CAP theorems and their implementation approaches
  • compare the differences between batch and streaming data
  • recognize the read and write optimizations in MongoDB
  • implement serverless architecture with Lambda and data partitioning using MongoDB
  • Course Number:
    it_dsfddadj_01_enus

    Expertise Level
    Intermediate