Data Architecture Deep Dive - Microservices & Serverless Computing

Data Science    |    Intermediate
  • 10 videos | 25m 54s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 19 users Rating 4.4 of 19 users (19)
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

  • 1m 34s
  • 2m 51s
    Upon completion of this video, you will be able to describe data pattern implementation in microservices. FREE ACCESS
  • Locked
    3.  Serverless and Lambda Architecture
    2m 35s
    After completing this video, you will be able to describe the beneficial features of serverless and Lambda architectures. FREE ACCESS
  • Locked
    4.  Lambda Implementation
    3m 22s
    In this video, you will learn how to implement the Lambda architecture in AWS. FREE ACCESS
  • Locked
    5.  Cluster Benefits
    2m 27s
    In this video, you will learn how to manage resources with the implementation of clusters. FREE ACCESS
  • Locked
    6.  Data Architecture Types
    3m 3s
    Upon completion of this video, you will be able to describe data architecture implementations and their advantages. FREE ACCESS
  • Locked
    7.  Data Discovery Process
    3m 15s
    Upon completion of this video, you will be able to specify the steps involved in discovering and deriving value from data in existing datasets. FREE ACCESS
  • Locked
    8.  Data Risk Types
    1m 51s
    Learn how to classify the different types of data risks that need to be managed when implementing data modeling and design. FREE ACCESS
  • Locked
    9.  Data POC
    2m 41s
    After completing this video, you will be able to specify the steps involved in building a successful data proof of concept. FREE ACCESS
  • Locked
    10.  Exercise: Implement Lambda Architecture
    2m 15s
    After completing this video, you will be able to recall the beneficial features of Lambda and serverless architecture and specify the essential processes of data discovery. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

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