Planning and Designing Databases on AWS Certification Training

Design AWS databases based on workload requirements

  • Learn about the eight AWS database services and their features 
  • Develop critical skills to implement cloud initiatives  
  • Clear the exam and become AWS Certified Database Specialist 
  • 400,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Enhance Database Design through AWS Services

Learn how to plan and design databases in an AWS cloud environment. The Planning and Designing Databases on AWS course focuses on the various AWS services and how you should employ them in managing databases. Understand to differentiate between relational databases and non-relational databases and design databases based on your workloads.

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Highlights

  • 3 days of live interactive trainer led sessions 

  • Course delivered by top Amazon Certified Trainers 

  • AWS Certified Database - Specialty exam prep 

  • Master database management, and data modeling 

  • Learn database hosting on Amazon EC2 

  • Master the use of all eight Amazon database services 

Accredited by

The KnowledgeHut Edge

Instructor-Led Experience

Interact and engage with certified instructors with a wealth of industry experience. Learn, listen, explore, and apply! 

Curated Curriculum

Empower yourself and stay globally relevant with the latest and the most updated courseware. 

Learn By Doing

Get theory-backed practical case studies, exercises, and unlimited practice in work-like environments.  

Learn from Industry Experts

Learn from the best in the industry. Work with mentors who are experienced professionals in their fields. 

Advance From the Basics

Learn the fundamentals and advance your learning with step-by-step guidance on tools and techniques. 

Detailed Feedback

Get detailed reviews and feedback on your learning and understanding from AWS professionals. 

Prerequisites

Prerequisites for Planning & Designing Databases on AWS

  • Familiarity with AWS Database Services   
  • Understanding of database design concepts  
  • Understanding of data modeling    
  • For detailed prerequisites please refer to the FAQs 

Who should attend the Planning & Designing Databases on AWS Course

Data engineers

Solutions architects

Developers

IT professionals

Planning & Designing Databases on AWS Schedules

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What you will learn

Database Basics

Learn to apply database concepts, database management, and data modeling techniques 

Amazon EC2

Explore how to evaluate hosting databases on Amazon Elastic Cloud Compute instances 

Relational Database Services

Evaluate relational database services like Amazon RDS, Amazon Aurora, and Amazon Redshift

Non-Relational Database Services

Evaluate five nonrelational database services including Amazon DocumentDB and Amazon DynamoDB  

Design Criteria

Explore how to use the design criteria in databases and how to apply it to each service

Management Principles

Apply management principles to databases based on the unique features of each service 

Transform Your Workforce

Plan and build robust databases on AWS

Train your team to plan and design modern databases based on workload requirements while leveraging the eight AWS database services. 

  • Leverage Immersive Learning 
  • Learn database hosting on AWS 
  • Master three relational database services  
  • Use five non-relational database services 

500+ Clients

Planning & Designing Databases on AWS Curriculum

  • Databases in the cloud 
  • Database design principles 
  • Transactional compliance 
  • Workload requirements 
  • Design considerations 

Amazon EC2 for hosting databases 

Purpose-Built Databases
  • The journey to AWS
  • Data modeling basics 
  • Amazon RDS databases 
  • Amazon RDS distinguishing features 
  • Amazon RDS Design considerations 
  • Amazon Aurora databases 
  • Aurora distinguishing features 
  • Aurora design considerations 
  • Amazon DocumentDB 
  • Amazon DocumentDB design considerations 
  • Amazon DynamoDB 
  • DynamoDB data modeling 
  • DynamoDB distinguishing features 
  • DynamoDB design considerations 
  • Amazon Neptune 
  • Neptune design considerations 
  • Amazon Quantum Ledger Database (Amazon QLDB) 
  • Amazon QLDB Design Considerations
  • Amazon ElastiCache 
  • ElastiCache for Memcached 
  • ElastiCache for Redis 
  • Amazon Redshift
  • Amazon Redshift distinguishing features 
  • Amazon Redshift data modeling 
  • Amazon Redshift design considerations 

Frequently Asked Questions

Course

This course is designed to help you understand the processes involved in planning and designing databases on AWS. Produce design considerations based on the workload requirements.  

Understand the eight AWS database services and what you can achieve with them. 

This course caters to the needs of professionals charged with planning and designing databases in an AWS environment. It will teach you:  

  • Database fundamentals 
  • Database management 
  • Data modeling 
  • Database hosting 
  • Amazon RDS databases 
  • Amazon Aurora databases 
  • Data warehousing

By the end of this course, you will learn to:  

  • Apply database concepts, database management, and data modeling techniques 
  • Understand hosting databases on Amazon EC2 instances 
  • Explore relational AWS database services and their features  
  • Explore non-relational AWS database services and their features 

To be eligible for this course, the candidate should have:  

  • Familiarity with AWS Database Services, equivalent to AWS Database Offerings digital training  
  • 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 
  • Understanding of the three Vs of data (volume, velocity, and variety) 
  • Familiarity with basic data analytics concepts, equivalent to Data Analytics Fundamentals digital training 
  • Understanding of general architecting best practices and the AWS Well-Architected Framework, equivalent to Architecting on AWS classroom training 

To attend the AWS Certified Database – Specialty exam the candidate should have: 

  • Five years of experience with common database technologies 
  • Two years of hands-on experience and expertise working with on-premises and AWS Cloud-based relational and NoSQL databases 
  • Ability to understand and differentiate the key features of AWS database services 
  • Ability to analyze needs and requirements to design and recommend appropriate database solutions by using AWS services 

Experience

Currently all our courses are offered online as Live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts. 

Our instructors are approved by AWS to lead these sessions. They also have hands-on experience and will be able to tell you the practical aspects of what you are learning.  

Our courses are delivered through live interactive virtual classrooms and can be structured according to the requirements of the course. 

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced Power platform practitioner. The focus is on finding practical solutions to real-world scenarios in various projects environments, both big and small. 

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improve your online training experience. 

Internet Connectivity (2Mbps Link) and Laptop/PC (Windows/Mac) with 4GB RAM. 

No, you do not need to record the sessions, the sessions will be auto recorded on our LMS, you will be able to refer to them. 

Yes, you can switch your start date with prior notice of at least 24 hours and subject to availability in the desired batch. 

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