Course Details | Cloudthat

Course Overview

You will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon EC2). You will learn about our relational database services including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, and Amazon Redshift. You will also learn about our nonrelational database services including Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB. By the end of this course, you will be familiar with the planning and design requirements of all 8 of these AWS databases services, their pros and cons, and how to know which AWS databases service is right for your workloads. This course includes presentations, demonstrations, group exercises, and hands-on labs.

After completing this course, students will be able to:

  • Apply database concepts, database management, and data modeling techniques
  • Evaluate hosting databases on Amazon EC2 instances
  • Evaluate relational database services (Amazon RDS, Amazon Aurora, and Amazon Redshift) and their features
  • Evaluate nonrelational database services (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB) and their features
  • Examine how the design criteria apply to each service
  • Apply management principles based on the unique features of each service

Upcoming Batches

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Key Features

  • Our training modules have 50% - 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL)
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL)
  • AWS certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL)
  • Well-structured use-cases to simulate challenges encountered in a Real-World environment
  • Being an authorized AWS Training Partner gives us an edge over competition

Who Should Attend

  • Data Engineers who are new to designing cloud databases or nonrelational databases
  • Solutions Architects who are designing services or architectures that are integrated with databases
  • Developers that are building cloud database-enabled applications

Prerequisites

We recommend that attendees of this course 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 V’s 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

Course Outline Download Course Outline

Day 1

Module 0: Planning and Designing Databases on AWS

  • Module 1: Database Concepts and General Guidelines
  • Databases in the cloud
  • Database design principles
  • Transactional compliance

Module 2: Database Planning and Design

  • Workload requirements
  • Design considerations

Module 3: Databases on Amazon EC2

  • Amazon EC2 for hosting databases

Module 4: Purpose-Built Databases

  • The journey to AWS
  • Data modeling basics

Module 5: Databases on Amazon RDS

  • Amazon RDS databases
  • Amazon RDS distinguishing features
  • Amazon RDS Design considerations
  • Lab 1: Working with Amazon RDS databases

Module 6: Databases in Amazon Aurora

  • Amazon Aurora databases
  • Aurora distinguishing features
  • Aurora design considerations

Day 2

Module 6: Databases in Amazon Aurora (continued)

  • Lab 2: Working with Amazon Aurora databases

Module 7: Databases in Amazon DocumentDB (with MongoDB compatibility)

  • Amazon DocumentDB
  • Amazon DocumentDB design considerations
  • Lab 3: Working with Amazon DocumentDB databases

Module 8: Amazon DynamoDB Tables

  • Amazon DynamoDB
  • DynamoDB data modeling
  • DynamoDB distinguishing features
  • DynamoDB design considerations
  • Lab 4: Working with Amazon DynamoDB Tables

Day Three

Module 9: Databases in Amazon Neptune

  • Amazon Neptune
  • Neptune design considerations

Module 10: Databases in Amazon Quantum Ledger Database (Amazon QLDB)

  • Amazon Quantum Ledger Database (Amazon QLDB)
  • Amazon QLDB Design Considerations

Module 11: Databases in Amazon ElastiCache

  • Amazon ElastiCache
  • ElastiCache for Memcached
  • ElastiCache for Redis

Module 12: Data Warehousing in Amazon Redshift

  • Amazon Redshift
  • Amazon Redshift distinguishing features
  • Amazon Redshift data modeling
  • Amazon Redshift design considerations
  • Lab 5: Working with Amazon Redshift Clusters

Module 13: Course Review

Certification

    • By earning AWS Certified Database-Specialty certification, you will show your future or current employer that you have knowledge of AWS Cloud concepts.
    • AWS Certified Database-Specialty certification can be used to learn planning and designing process of relational and non-relational databases
    • On successful completion of AWS Certified Database-Specialty certification training aspirants receive a Course Completion Certificate from us
    • By successfully clearing the AWS Certified Database-Specialty certification exams, aspirants earn AWS Certification

Our Top Trainers

Pavan Bhawsar

Pavan is a Microsoft Certified Trainer at CloudThat. He is an enthusiastic and passionate trainer, empathic observer towards the trending technologies with demonstrated skill in Azure and hybrid Cloud Administration. He has 6+ years of corporate experience, etc.

Vivek Kumar

Vivek has been involved in various large and complex projects with global clients. He has experience in AWS, GCP and Azure Cloud Platforms. He has experience in various software development fields like Image Processing, Web designing, Networking etc.

Jagadesh Gonnagar

He has been a part of several large and complex software development projects with global clients. He has worked in USA for over 11 years before relocating to India. He has expertise in Database design/development, Web development, etc.

Haris AK

Haris works as Cloud Solutions Architect in CloudThat technologies, being passionate about ever evolving technology. He is specialist on Docker, Kubernetes, Ansible, Git/Jenkins, Terraform and other DevOps Technologies. Haris Architects’ solutions on Cloud as well on-Premises using wide etc.

Devi Vara Prasad

A Microsoft Certified Trainer with more than 15+ years of Corporate, Online and Classroom Training Experience, well versed in AWS an Azure Cloud platform and have been delivering trainings for more than 5years. Also has a vast etc.

Ajay Kumar Lodha

Ajay is cloud obsessed and cloud addict, that's how he describes himself. Ajay has been working with all the major cloud computing platforms like AWS, Azure, and GCP for more than 5 years now. He is into etc.

Guruprasad Srinivasrao Venugopal

He is a Cloud enthusiast with demonstrated skills in Azure, AWS Hybrid-Cloud administration, Linux and DevOps. Alongside working on Azure Cloud deployment, administration and implementation, he is also engaged in planning, designing and executing various nice technology etc.

Prarthit Mehta

Prarthit has been involved in various large and complex projects with global clients. He has experience in Microsoft, MS office 365 & AWS Infrastructure technologies and Windows servers, designing Active Directory and managing various domain services. He etc.

Priyant Gupta

Priyant is working in the Microsoft Technology space for last 5 years and is sharing the knowledge gained on Azure Administration, Azure Data Engineering and Dynamics 365 CE Apps. He has trained 1000+ professionals as a corporate trainer at etc.

Lakhan Kriplani

He had involved in various client projects to set up infrastructure on Cloud for various Analytics applications, E-Commerce, setup CICD Pipeline using AWS services. He has experience in developing highly secure, scalable web applications using MVC architecture. etc.

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