AWS Database Specialty Certification from Coursera

This course offers a comprehensive journey through the world of databases and their management on the AWS cloud platform. From understanding the core concepts of databases to mastering advanced topics like migration, automation, and security, participants will gain a solid foundation in database design, deployment, and management using AWS services. Key modules cover database fundamentals, AWS database services, cost considerations, automation with CloudFormation, migration strategies, monitoring with CloudWatch, disaster recovery solutions, and advanced security practices. By the end, learners will be equipped with the skills to design, deploy, and manage databases securely and efficiently in AWS environments.

Target Learners:

1) Database Administrators (DBAs): Professionals who are responsible for the design, implementation, maintenance, and optimization of databases on AWS.

2) Database Architects: Individuals who design database solutions on AWS, including selecting appropriate database services, designing schemas, and ensuring scalability, availability, and security.

3) Cloud Engineers: Engineers responsible for deploying and managing database solutions in cloud environments, particularly AWS.

4) Solution Architects: Professionals who design comprehensive solutions that incorporate AWS database services to meet specific business requirements.

5) Developers: Developers who work with applications that utilize AWS databases and need to understand database-specific features, performance optimization, and best practices.

6) Data Engineers: Individuals who work with large volumes of data, including ingestion, transformation, storage, and analytics, using AWS database services.

7) System Administrators: Administrators responsible for managing the infrastructure and resources supporting AWS database deployments.

To be successful in this course, you should have a background in:

1) AWS Fundamentals: A strong understanding of core AWS services, architecture, and best practices is essential. This includes knowledge of AWS Identity and Access Management (IAM), Virtual Private Cloud (VPC), EC2 instances, S3 storage, and networking concepts.

2) Database Concepts: Familiarity with fundamental database concepts such as data modeling, schema design, indexing, normalization, ACID properties (Atomicity, Consistency, Isolation, Durability), database transactions, and query optimization is important.

3) Database Management Systems (DBMS): Experience with database management systems like MySQL, PostgreSQL, Oracle, SQL Server, or NoSQL databases such as MongoDB, Cassandra, or Couchbase will provide a solid foundation for understanding AWS database services.

4) SQL (Structured Query Language): Proficiency in SQL is crucial for working with relational databases like Amazon RDS, Aurora, and Redshift. Understanding SQL queries, data manipulation, joins, subqueries, and transactions is essential.

5) Data Warehousing and Analytics: Knowledge of data warehousing concepts, business intelligence tools, and analytics platforms will be helpful, especially for understanding services like Amazon Redshift and Amazon EMR (Elastic MapReduce).

6) Data Migration and Replication: Understanding data migration strategies, tools, and techniques, as well as experience with database replication technologies, will be beneficial for working with AWS Database Migration Service (DMS) and other related services.

What's inside

Syllabus

Database Basics-Quick Refresher

In this module we are going to study the fundamentals of Databases. We will understand the basic significance of the databases.

Database Design using AWS Part 1

These modules provide an overview of the capabilities and functionalities of each AWS database service like RDS, Aurora and DynamoDB, focusing on their managed nature, performance benefits, and suitability for various application scenarios. These services cater to different database requirements, offering managed solutions for relational and NoSQL databases, allowing users to select the best fit for their specific application needs based on scalability, performance, and ease of use.

Database Design using AWS Part 2

This module provides an in-depth exploration of four key Amazon Web Services (AWS) database services: Amazon Redshift, Amazon ElastiCache, Amazon DocumentDB, and Amazon Neptune Service. Each service offers unique capabilities tailored for specific data storage and processing requirements, catering to diverse use cases and workloads.

Database Service Cost and Other Services

This module provides an in-depth analysis and comparison of the cost structures, pricing models, and value propositions associated with various Amazon Web Services (AWS) database services. It focuses on understanding the pricing components and considerations when choosing between different database services offered by AWS, along with a detailed exploration of specific offerings like Amazon Quantum Ledger Database (Amazon QLDB), Amazon Timestream Service, and Amazon Keyspaces.

Database Management

This module offers a comprehensive understanding of AWS CloudFormation, a service that allows the automated provisioning and management of AWS resources. Participants will explore CloudFormation's capabilities, its integration with relational databases such as Amazon RDS and Amazon Aurora, and its synergy with AWS Secrets Manager for managing sensitive information.

Database Deployment and Migration

This module provides a comprehensive understanding of database migration strategies, tools, and techniques essential for moving databases to AWS cloud infrastructure. Participants will explore the concepts, methodologies, and AWS services involved in seamless and efficient database migration, focusing on AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT).

Database Monitoring and Automation

This module provides an in-depth understanding of key AWS services and strategies essential for monitoring, optimizing performance, leveraging serverless computing within databases, and implementing disaster recovery mechanisms in AWS environments.

Database Security and Networking Fundamentals

This module offers a comprehensive understanding of data encryption practices, the AWS Key Management Service (KMS), and networking fundamentals within AWS using Virtual Private Cloud (VPC). Participants will explore encryption methods, the role of KMS in managing encryption keys, and fundamental networking concepts within the VPC environment.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores database concepts and AWS database services, making it relevant for database administrators and architects

Incorporates key AWS database services like Redshift, ElastiCache, DocumentDB, and Neptune, expanding its relevance to data warehousing, caching, and graph databases

Covers database design, deployment, and management, providing comprehensive knowledge for managing databases in AWS environments

Provides insights into cost considerations, automation with CloudFormation, and migration strategies, addressing practical aspects of database management

Offers hands-on experience with AWS database services through practical labs and projects, enabling learners to apply their knowledge

Assumes prior knowledge of AWS fundamentals, database concepts, and SQL, which may limit accessibility for beginners

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AWS Database Specialty Certification with these activities:

Review 'Database Management Systems' by Raghu Ramakrishnan and Johannes Gehrke

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Strengthen your foundational understanding of database concepts through a comprehensive textbook review.

View Melania on Amazon

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Read the assigned chapters and take notes on key concepts
Review and summarize the main ideas

Review SQL Syntax and Commands

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Refresh your knowledge of SQL syntax and basic commands to enhance your understanding of database operations.

Browse courses on SQL Syntax

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Review online resources or tutorials on SQL syntax
Practice writing and executing simple SQL queries

Review basic SQL

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Review the basics of SQL, including data types, operators, and basic queries, to strengthen your foundation for working with databases in AWS.

Browse courses on SQL

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Go through online tutorials or resources on basic SQL syntax and concepts.
Practice writing basic SQL queries to select, insert, update, and delete data.

11 other activities

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Attend an AWS Database Workshop

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Gain hands-on experience and practical knowledge by attending an AWS Database workshop.

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Identify and register for an AWS Database workshop
Attend the workshop and actively participate in exercises
Apply the acquired knowledge to your own AWS database projects

Practice SQL Queries

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Reinforce your understanding of SQL syntax and concepts by completing practice queries.

Browse courses on SQL

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Review SQL basics
Attempt practice problems on platforms like LeetCode or HackerRank
Create your own queries based on sample datasets

AWS Database Services Quiz

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Take practice quizzes on AWS database services to test your understanding of their features, benefits, and use cases.

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Find online quizzes or practice questions related to AWS database services.
Attempt the quizzes and review your answers to identify areas for improvement.

Database Study Group

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Join a study group with peers to discuss database concepts, share knowledge, and work through challenges together.

Browse courses on Database Concepts

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Find or create a study group with other participants in the course.
Set regular meeting times and agendas to discuss specific topics and assignments.
Actively participate in discussions, ask questions, and share your insights.

Design a Database Schema

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Solidify your understanding of database design by creating a comprehensive schema for a real-world scenario.

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Identify a specific business scenario or application
Gather requirements and analyze the data entities and relationships
Create an Entity-Relationship (ER) diagram
Normalize the ER diagram to optimize data integrity
Translate the ER diagram into a database schema

Database Design and Implementation Guide

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Create a comprehensive guide documenting your understanding of database design principles, best practices, and implementation techniques in AWS.

Browse courses on Technical Documentation

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Gather information on database design principles, AWS database services, and best practices.
Organize and structure the guide into logical sections covering different aspects of database design and implementation.
Write clear and concise documentation, providing examples and illustrations to support your explanations.
Review and edit your guide thoroughly to ensure accuracy and readability.

AWS Database Workshop

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Attend an AWS Database Workshop to gain hands-on experience with deploying, managing, and optimizing databases in AWS.

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Register for an AWS Database Workshop that aligns with your learning goals.
Attend the workshop and actively participate in the hands-on labs and exercises.
Review the workshop materials and practice what you learned.

Explore Advanced Database Concepts

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Enhance your knowledge of database design and optimization techniques through guided tutorials.

Browse courses on Database Normalization

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Identify online resources or courses on advanced database concepts
Follow tutorials and complete hands-on exercises
Apply the learned concepts in your own database projects

Write a Blog Post on Database Security Best Practices

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Enhance your understanding and communication skills by creating a written resource on database security best practices.

Browse courses on Database Security

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Research and gather information on database security best practices
Organize and structure your content in a logical manner
Write the blog post, ensuring clarity and conciseness
Proofread and edit your writing
Publish your blog post on a relevant platform or share it with others

AWS Database Challenge

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Participate in an AWS Database Challenge to showcase your skills in designing, deploying, and managing databases in AWS.

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Explore the AWS Database Challenge website for details and registration.
Form a team or participate individually and work on a database-related project.
Submit your project for evaluation and compete for prizes and recognition.

Contribute to an Open-Source Database Project

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Gain practical experience and contribute to the database community by participating in an open-source project.

Browse courses on Database Development

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Identify an open-source database project that aligns with your interests
Review the project's documentation and codebase
Identify areas where you can contribute, such as bug fixes or feature enhancements
Submit a pull request with your contributions
Engage with the project community and seek feedback

Career center

Learners who complete AWS Database Specialty Certification will develop knowledge and skills that may be useful to these careers:

Database Consultant

Database Consultants provide advice and guidance to organizations on database design, implementation, and management. They help organizations to optimize their database performance and security. The AWS Database Specialty Certification course provides a comprehensive overview of AWS database services, including RDS, Aurora, DynamoDB, Redshift, and ElastiCache. It covers database design, deployment, management, migration, monitoring, and security. This course may be particularly useful for Database Consultants who want to specialize in AWS database services and gain the skills needed to provide expert advice and guidance to organizations on AWS database solutions.

See salaries and explore the career path for Database Consultant

Database Architect

Database Architects design and implement database solutions that meet the needs of an organization. They work with stakeholders to understand data requirements, develop data models, and select appropriate database technologies. The AWS Database Specialty Certification course provides a deep dive into AWS database services, including their capabilities, limitations, and best practices. It covers database design principles, performance optimization, scalability, and security. This course can help Database Architects build a strong foundation in AWS database services and gain the skills needed to design and implement effective database solutions in the cloud.

See salaries and explore the career path for Database Architect

Data Architect

Data Architects design and implement data architecture solutions. They work with stakeholders to understand data requirements, develop data models, and select appropriate data technologies. The AWS Database Specialty Certification course provides a deep dive into AWS database services, including their capabilities, limitations, and best practices. It covers database design principles, performance optimization, scalability, and security. This course can help Data Architects build a strong foundation in AWS database services and gain the skills needed to design and implement effective data architecture solutions in the cloud.

See salaries and explore the career path for Data Architect

Cloud Engineer

Cloud Engineers design, deploy, and manage cloud computing solutions. They work with cloud providers to provision resources, configure services, and optimize performance. The AWS Database Specialty Certification course provides a comprehensive overview of AWS database services, including RDS, Aurora, DynamoDB, Redshift, and ElastiCache. It covers database design, deployment, management, migration, monitoring, and security. This course may be particularly useful for Cloud Engineers who want to specialize in AWS database services and gain the skills needed to design and implement effective cloud-based database solutions.

See salaries and explore the career path for Cloud Engineer

Data Analytics Engineer

Data Analytics Engineers design and build data analytics pipelines. They work with data scientists and business users to gather data requirements, develop data analytics models, and implement data analytics solutions. The AWS Database Specialty Certification course provides a strong foundation in AWS database services, including RDS, Aurora, Redshift, and Athena. It covers data modeling, data warehousing, data analytics, and data visualization. This course may be particularly useful for Data Analytics Engineers who want to specialize in AWS database services and gain the skills needed to design and implement effective data analytics solutions in the cloud.

See salaries and explore the career path for Data Analytics Engineer

Data Engineer

Data Engineers design and build data pipelines that collect, transform, and store data for analysis. They work with large datasets and use a variety of tools and technologies to process and analyze data. The AWS Database Specialty Certification course provides a strong foundation in AWS database services, including RDS, Aurora, Redshift, and Athena. It covers data modeling, data warehousing, data analytics, and data visualization. This course may be particularly useful for Data Engineers who want to specialize in AWS database services and gain the skills needed to design and implement effective data pipelines in the cloud.

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Data Warehouse Engineer

Data Warehouse Engineers design, build, and maintain data warehouses. They work with data analysts and business users to gather data requirements, design data models, and implement data warehouse solutions. The AWS Database Specialty Certification course provides a strong foundation in AWS database services, including RDS, Aurora, Redshift, and Athena. It covers data modeling, data warehousing, data analytics, and data visualization. This course may be particularly useful for Data Warehouse Engineers who want to specialize in AWS database services and gain the skills needed to design and implement effective data warehouse solutions in the cloud.

See salaries and explore the career path for Data Warehouse Engineer

Machine Learning Engineer

Machine Learning Engineers design and build machine learning models. They work with data scientists and business users to gather data requirements, develop machine learning models, and implement machine learning solutions. The AWS Database Specialty Certification course provides a strong foundation in AWS database services, including RDS, Aurora, Redshift, and Athena. It covers data modeling, data warehousing, data analytics, and data visualization. This course may be particularly useful for Machine Learning Engineers who want to specialize in AWS database services and gain the skills needed to design and implement effective machine learning solutions in the cloud.

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Database Administrator

Database Administrators manage and maintain databases, ensuring their availability, performance, and security. They are responsible for data integrity, backup and recovery, and performance optimization. The AWS Database Specialty Certification course provides a comprehensive overview of AWS database services, including RDS, Aurora, DynamoDB, Redshift, and ElastiCache. It covers database design, deployment, management, migration, monitoring, and security. This course may be particularly useful for Database Administrators who want to specialize in AWS database services.

See salaries and explore the career path for Database Administrator

Solution Architect

Solution Architects design and implement IT solutions that meet the needs of an organization. They work with stakeholders to understand business requirements, develop solution designs, and select appropriate technologies. The AWS Database Specialty Certification course provides a deep dive into AWS database services, including their capabilities, limitations, and best practices. It covers database design principles, performance optimization, scalability, and security. This course can help Solution Architects build a strong foundation in AWS database services and gain the skills needed to design and implement effective IT solutions that utilize AWS database services.

See salaries and explore the career path for Solution Architect

Data Scientist

Data Scientists use data to solve business problems. They develop and apply statistical and machine learning models to analyze data, identify trends, and make predictions. The AWS Database Specialty Certification course provides a strong foundation in AWS database services, including RDS, Aurora, Redshift, and Athena. It covers data modeling, data warehousing, data analytics, and data visualization. This course may be particularly useful for Data Scientists who want to specialize in AWS database services and gain the skills needed to access and analyze data in the cloud.

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Software Developer

Software Developers design, develop, and implement software applications. They work with users to understand their needs, develop software solutions, and test and deploy software. The AWS Database Specialty Certification course provides a strong foundation in AWS database services, including RDS, Aurora, and DynamoDB. It covers database design, data modeling, and data access. This course may be particularly useful for Software Developers who want to specialize in AWS database services and gain the skills needed to develop and deploy software applications that use AWS database services.

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Security Analyst

Security Analysts identify and mitigate security risks. They work with organizations to develop and implement security policies and procedures. The AWS Database Specialty Certification course provides a strong foundation in AWS database security. It covers database encryption, access control, and monitoring. This course may be particularly useful for Security Analysts who want to specialize in AWS database security and gain the skills needed to protect databases from unauthorized access and malicious attacks.

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Business Analyst

Business Analysts gather and analyze data to identify business needs and opportunities. They work with stakeholders to develop solutions that improve business processes and outcomes. The AWS Database Specialty Certification course provides a strong foundation in AWS database services, including RDS, Aurora, and Redshift. It covers data modeling, data warehousing, data analytics, and data visualization. This course may be particularly useful for Business Analysts who want to specialize in AWS database services and gain the skills needed to access and analyze data to support business decision-making.

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DevOps Engineer

DevOps Engineers work with developers and operations teams to bridge the gap between development and operations. They help to automate and streamline the software development and deployment process. The AWS Database Specialty Certification course provides a strong foundation in AWS database services, including RDS, Aurora, and DynamoDB. It covers database deployment, management, and monitoring. This course may be particularly useful for DevOps Engineers who want to specialize in AWS database services and gain the skills needed to automate and streamline the deployment and management of database applications.

See salaries and explore the career path for DevOps Engineer