Data Architecture Deep Dive - Microservices & Serverless Computing
Data Science
| Intermediate
- 10 videos | 25m 54s
- Includes Assessment
- Earns a Badge
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
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Describe data pattern implementation in microservicesDescribe the beneficial features of serverless and lambda architecturesDemonstrate how to implement lambda architecture in awsManage resources with the implementation of clustersDescribe data architecture implementations and their advantages
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Specify the steps involved in discovering and deriving value from data in existing datasetsClassify the different types of data risks that need to be managed when implementing data modeling and designSpecify the steps involved in building a successful data pocRecall the beneficial features of lambda and serverless architecture and specify the essential processes of discovering data
IN THIS COURSE
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1m 34s
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2m 51sUpon completion of this video, you will be able to describe data pattern implementation in microservices. FREE ACCESS
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2m 35sAfter completing this video, you will be able to describe the beneficial features of serverless and Lambda architectures. FREE ACCESS
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3m 22sIn this video, you will learn how to implement the Lambda architecture in AWS. FREE ACCESS
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2m 27sIn this video, you will learn how to manage resources with the implementation of clusters. FREE ACCESS
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3m 3sUpon completion of this video, you will be able to describe data architecture implementations and their advantages. FREE ACCESS
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3m 15sUpon 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
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1m 51sLearn how to classify the different types of data risks that need to be managed when implementing data modeling and design. FREE ACCESS
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2m 41sAfter completing this video, you will be able to specify the steps involved in building a successful data proof of concept. FREE ACCESS
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2m 15sAfter 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
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