Working with Amazon DynamoDB using Python & Boto3 from Coursera

In this 2-hours long project, we will look at how to work with DynamoDB, a fully managed NoSQL Database provided by Amazon Web Services (AWS) using Python & Boto3. We will look at how to generate credentials to programmatically access AWS resources. We will then look at how to create a DynamoDB Table and load data in it. We will then move on to how to perform CRUD operations in DynamoDB which include Create new records, Reading, updating and deleting existing records.

We will then look at how to perform Queries to retrieve data from a table using the primary key. We will then look at Scan operation which reads every item in the entire table and look at how to apply filters on the retrieved data to retrieve data without using a primary key. Finally we will see how to create an Index, specifically Global Secondary Index (GSI), to perform queries (an efficient alternative to Scan) on the database using fields which are non-primary key.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What's inside

Syllabus

Project Overview

Welcome! In this project, we will look at how to work with DynamoDB, a fully managed NoSQL Database provided by Amazon Web Services (AWS) using Python & Boto3. We will look at how to create a Table programmatically using Python. We will then look at how to perform CRUD operations. We will then look at how to perform Query and Scan operations. Finally we will look at how to create Global Secondary Index (GSI) to perform efficient queries.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores DynamoDB, which is an industry-standard NoSQL cloud database

Develops skills and knowledge in Python, which are core for software developers

Develops skills and knowledge in Boto3, which is a required tool for working with AWS

Students with Python and Boto3 experience will find this course more accessible

Taught by Mohammad Murtuza Qureshi, an experienced AWS and DevOps engineer

Note that this course may not be accessible in all global regions

Reviews summary

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Some concepts under-explained

"Some concepts barely explained"

Career center

Learners who complete Working with Amazon DynamoDB using Python & Boto3 will develop knowledge and skills that may be useful to these careers:

Database Administrator

Database Administrators ensure the efficient operation of databases, including installing, configuring, updating, and monitoring them. This course will help build a foundation for a role in Database Administration. By learning how to create and work with DynamoDB, a NoSQL database from AWS, you will gain experience with the kind of technology used by Database Administrators for their daily work.

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Data Engineer

Data Engineers create, deploy, and maintain databases. They work to ensure data is stored, organized, and optimized for access. This course will help build a foundation for a role in Data Engineering. By learning how to create and work with DynamoDB, a NoSQL database from AWS, you will gain experience with the kind of technology used by Data Engineers for their daily work.

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Software Engineer

Software Engineers write code to automate tasks, for everything from creating mobile apps to enterprise systems. This course will help build a foundation for a role in Software Engineering. By learning how to programmatically access and work with a fully-managed NoSQL database like DynamoDB, you will gain experience with the kind of technology used by Software Engineers for their daily work.

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Cloud Architect

Cloud Architects design, build, and maintain cloud computing systems. This course may be useful for those working or looking to work as a Cloud Architect. By learning how to programmatically access AWS with Python to create and work with DynamoDB, you will be exposed to skills that are commonly used in building and maintaining cloud databases.

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Data Analyst

Data Analysts summarize and communicate large amounts of data into digestible formats. This course may be useful for Data Analysts. By learning how to query and retrieve data from DynamoDB using Filters and Queries, you will gain experience in working with NoSQL databases in a way that is relevant for Data Analysts.

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Software Development Manager

Software Development Managers lead and manage teams of Software Engineers working on software development projects. This course may be useful for Software Development Managers. By learning how to integrate DynamoDB with their Python software projects, they will learn about technologies that are commonly used within the Software Engineering industry.

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Data Architect

Data Architects design and implement data management solutions. This course may be useful for Data Architects who work with AWS infrastructure. By understanding how to use DynamoDB and Python, they will be able to design and implement data management solutions that leverage DynamoDB.

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Product Manager

Product Managers are responsible for the development, launch, and marketing of products. This course may be useful for Product Managers who work with engineering teams. By understanding how to integrate DynamoDB and Python for building features, they can better collaborate with engineering on their project teams.

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Data Scientist

Data Scientists use data to solve complex business problems. This course may be useful for Data Scientists who work with AWS infrastructure. By understanding how to use DynamoDB and Python, they will be able to access and analyze data stored in DynamoDB more efficiently.

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Business Analyst

Business Analysts research and analyze business processes and make recommendations for improvement. This course may be useful for Business Analysts who work with software development teams. By understanding how DynamoDB can be used to solve business problems, they will be able to better make informed decisions when working with technical teams.

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Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. This course may be useful for Machine Learning Engineers who work with AWS infrastructure. By understanding how to use DynamoDB and Python, they will be able to access and prepare data stored in DynamoDB for use in machine learning models.

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DevOps Engineer

DevOps Engineers work to bridge the gap between software development and IT operations. This course may be useful for DevOps Engineers who work with AWS infrastructure. By understanding how to use DynamoDB and Python, they will be able to better collaborate with development and operations teams on projects that use DynamoDB.

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Technical Writer

Technical Writers create documentation for all types of technical products and services. This course may be useful for Technical Writers who document software systems that use DynamoDB. By understanding how to use DynamoDB and Python, they will be able to write more accurate and up-to-date technical documentation.

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Systems Administrator

Systems Administrators maintain and support computer systems and networks. This course may be useful for Systems Administrators who manage AWS infrastructure. By understanding how to use DynamoDB and Python, they will be able to better manage and maintain AWS systems that use DynamoDB.

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Security Analyst

Security Analysts design and implement security solutions for organizations. This course may be useful for those interested in becoming Security Analysts. By learning how to create a DynamoDB Global Secondary Index (GSI), you will gain experience with a tool that can be used to fulfill the security requirements of an organization.

See salaries and explore the career path for Security Analyst