Data Architecture Deep Dive - Microservices & Serverless Computing

Data Science    |    Intermediate
  • 10 Videos | 29m 54s
  • Includes Assessment
  • Earns a Badge
Likes 17 Likes 17
Explore numerous types of data architecture that are effective data wrangling tools when working with big data in this 9-video Skillsoft Aspire course. Learn the strategies, design, and constraints involved in implementing data architecture. You will learn the concepts of data partitioning, CAP theorem (consistency, availability, and partition tolerance), and process implementation using serverless and Lambda data architecture. This course examines Saga, newly introduced in data management pattern catalog of microservices; API (application programming interface) composition; CQRS (Command Query Responsibility Segregation); event sourcing; and application event. This course explores the differences in traditional data architecture and serverless architecture which allows you to use client-side logic and third-party services. You will learn how to use AWS (Amazon Web Services) Lambda to implement a serverless architecture. This course then explores batch processing architecture, which processes data files by using long running batch jobs to filter actual content, real-time architecture, and machine learning at scale architecture built to serve machine learning algorithms. Finally, you will explore how to build a successful data POC (proof of concept).

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 34s
    UP NEXT
  • Playable
    2. 
    Microservices and Data
    2m 51s
  • Locked
    3. 
    Serverless and Lambda Architecture
    2m 35s
  • Locked
    4. 
    Lambda Implementation
    3m 22s
  • Locked
    5. 
    Cluster Benefits
    2m 27s
  • Locked
    6. 
    Data Architecture Types
    3m 3s
  • Locked
    7. 
    Data Discovery Process
    3m 15s
  • Locked
    8. 
    Data Risk Types
    1m 51s
  • Locked
    9. 
    Data POC
    2m 41s
  • Locked
    10. 
    Exercise: Implement Lambda Architecture
    2m 15s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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