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    Planning and Designing Databases on AWS (PD-DB)

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    Sold by: Fast Lane Inst. for Knowledge Transfer 
    In this course, you will learn about planning and designing your solutions with purpose-built Amazon Web Services (AWS) Cloud databases. The course introduces you to the features and characteristics of each of these databases and shares the design considerations that you should make while using them. By taking this course, you can develop the analytical skills needed to choose the right AWS database for your unique needs. By the end of the course, you will be able to analyze a business use case, analyze the workload, and assess application requirements to identify and design the most suitable AWS database solution to support your organizational needs.
    Request private offer
    Listing Thumbnail

    Planning and Designing Databases on AWS (PD-DB)

     Info
    Sold by: Fast Lane Inst. for Knowledge Transfer 
    Request private offer

    Overview

    Course Overview

    In this course, you will learn about planning and designing your solutions with purpose-built Amazon Web Services (AWS) Cloud databases. The course introduces you to the features and characteristics of each of these databases and shares the design considerations that you should make while using them. By taking this course, you can develop the analytical skills needed to choose the right AWS database for your unique needs.

    By the end of the course, you will be able to analyze a business use case, analyze the workload, and assess application requirements to identify and design the most suitable AWS database solution to support your organizational needs.

    Who should attend

    This course is intended for learners in the following roles:

    • Solutions architects
    • Database architects
    • Developers

    Prerequisites

    We recommend the following prerequisites for attendees of this course:

    • Familiarity with AWS database services
    • Understanding of database design concepts and/or data modeling for relational or nonrelational databases
    • Familiarity with cloud computing concepts
    • Familiarity with general networking and encryption concepts
    • Completion of the digital course Introduction to Building with AWS Databases

    Course Objectives

    In this course, you will learn how to do the following:

    • Summarize the AWS Well-Architected Framework for designing database solutions.
    • Choose an appropriate purpose-built database service for a given workload.
    • Design a relational database solution to solve a business problem.
    • Design a NoSQL database solution to solve a business problem.
    • Analyze data from multiple databases to solve a business problem.
    • Discuss the security considerations for your database solution.

    Course Content

    • Course Introduction
    • AWS Purpose-Built Databases
    • Amazon Relational Database Service (Amazon RDS)
    • Amazon Aurora
    • Amazon DynamoDB
    • Amazon Keyspaces (for Apache Cassandra)
    • Amazon DocumentDB (with MongoDB compatibility)
    • Amazon Quantum Ledger Database (Amazon QLDB)
    • Amazon Neptune
    • Amazon Timestream
    • Amazon ElastiCache
    • Amazon MemoryDB for Redis
    • Amazon Redshift
    • Tools for Working with AWS Databases

    Highlights

    • In this course, you will learn about planning and designing your solutions with purpose-built Amazon Web Services (AWS) Cloud databases. The course introduces you to the features and characteristics of each of these databases and shares the design considerations that you should make while using them. By taking this course, you can develop the analytical skills needed to choose the right AWS database for your unique needs.

    Details

    Sold by
    Fast Lane Inst. for Knowledge Transfer 
    Categories
    Training 
    Education & Research 
    Delivery method

    Pricing

    Custom pricing options

    Request private offer
    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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