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Getting Started with Amazon Timestream

AWS Instructor

In this course, you will learn the benefits and technical concepts of Amazon Timestream. If you are new to the service, you will learn how to start using Timestream through a demonstration on the AWS Management Console. You will also learn about the native architecture and how you can use built-in features to help simplify Timestream.

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What's inside

Syllabus

Getting Started with Amazon Timestream
In this course, you will learn the benefits and technical concepts of Amazon Timestream. If you are new to the service, you will learn how to start using Timestream through a demonstration on the AWS Management Console. You will also learn about the native architecture and how you can use built-in features to help simplify Timestream.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for beginners, this course can help you enhance your understanding of Amazon Timestream
This course is exclusively designed for AWS Instructors

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Activities

Coming soon We're preparing activities for Getting Started with Amazon Timestream. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Getting Started with Amazon Timestream will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. Amazon Timestream is a purpose-built time-series database that can help Data Engineers streamline the management and analysis of time-series data. This course teaches the fundamentals of Amazon Timestream, including its architecture, data model, and query capabilities.
Data Analyst
As a Data Analyst, you will collect, clean, and analyze large datasets to uncover patterns and insights. Amazon Timestream can help Data Analysts gain proficiency in working with time-series data. This course provides a foundation in using Amazon Timestream, enabling you to leverage its capabilities for data ingestion, storage, and analysis.
Data Scientist
Data Scientists use statistical and machine learning techniques to extract insights from data. Amazon Timestream can be valuable for Data Scientists working with time-series data, as it provides efficient storage and querying capabilities for this type of data. This course will help you understand how to use Amazon Timestream for time-series data analysis and modeling.
Database Administrator
Database Administrators manage and maintain databases, ensuring their availability, performance, and security. Amazon Timestream is a fully managed time-series database service that can simplify database administration tasks. This course provides insights into the architecture and management of Amazon Timestream, which can be beneficial for Database Administrators looking to enhance their skills in time-series data management.
Business Analyst
Business Analysts use data to understand business needs and identify opportunities for improvement. Amazon Timestream can provide Business Analysts with the ability to analyze time-series data, such as sales trends, customer behavior, and equipment performance. This course can help Business Analysts gain a foundational understanding of Amazon Timestream and its applications in business analysis.
Software Engineer
Software Engineers design, develop, and maintain software systems. Amazon Timestream is a cloud-based time-series database that can be integrated into software applications. This course will provide Software Engineers with an understanding of the capabilities and benefits of Amazon Timestream, enabling them to leverage it effectively in their software development projects.
Cloud Architect
Cloud Architects design and manage cloud computing solutions. Amazon Timestream is a fully managed time-series database service that can be deployed on the AWS cloud platform. This course can help Cloud Architects understand the architecture and capabilities of Amazon Timestream, enabling them to design and implement scalable and reliable cloud solutions that leverage time-series data.
Systems Engineer
Systems Engineers design, implement, and maintain computer systems. Amazon Timestream is a scalable and reliable time-series database that can be used to store and analyze large volumes of data. This course can help Systems Engineers understand the architecture and capabilities of Amazon Timestream, enabling them to design and implement systems that leverage time-series data effectively.
Data Architect
Data Architects design and manage data architectures. Amazon Timestream is a specialized time-series database that can be integrated into data architectures. This course can help Data Architects understand the capabilities and benefits of Amazon Timestream, enabling them to design data architectures that effectively handle time-series data.
Project Manager
Project Managers plan, execute, and deliver projects. Amazon Timestream is a cloud-based service that can be used to store and analyze time-series data. This course can help Project Managers understand the capabilities and benefits of Amazon Timestream, enabling them to effectively manage projects that involve time-series data.
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns that can inform business decisions. Amazon Timestream is a time-series database that can be used to store and analyze large volumes of data. This course can help Business Intelligence Analysts understand the capabilities and benefits of Amazon Timestream, enabling them to leverage time-series data for business insights.
Database Developer
Database Developers design and develop database systems. Amazon Timestream is a fully managed time-series database that can be used to store and analyze large volumes of data. This course can help Database Developers understand the architecture and capabilities of Amazon Timestream, enabling them to develop database solutions that effectively handle time-series data.
Data Integration Architect
Data Integration Architects design and implement data integration solutions. Amazon Timestream is a time-series database that can be integrated with other data sources and systems. This course can help Data Integration Architects understand the capabilities and benefits of Amazon Timestream, enabling them to design and implement data integration solutions that effectively handle time-series data.
IT Manager
IT Managers plan and direct the operations of an organization's IT systems. Amazon Timestream is a cloud-based time-series database that can be used to store and analyze large volumes of data. This course can help IT Managers understand the capabilities and benefits of Amazon Timestream, enabling them to make informed decisions about the use of time-series data in their organization.
Data Warehouse Architect
Data Warehouse Architects design and manage data warehouses. Amazon Timestream is a time-series database that can be used to store and analyze large volumes of data. This course can help Data Warehouse Architects understand the capabilities and benefits of Amazon Timestream, enabling them to design and manage data warehouses that effectively handle time-series data.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with Amazon Timestream.
Provides a practical guide to machine learning with Python. It covers everything from machine learning basics to machine learning algorithms to machine learning applications.
Provides a comprehensive overview of deep learning. It covers everything from deep learning concepts to deep learning architectures to deep learning applications.
Provides a comprehensive introduction to reinforcement learning. It covers everything from reinforcement learning concepts to reinforcement learning algorithms to reinforcement learning applications.
Provides a practical guide to natural language processing with Python. It covers everything from natural language processing basics to natural language processing algorithms to natural language processing applications.
Provides a comprehensive overview of computer vision. It covers everything from computer vision concepts to computer vision algorithms to computer vision applications.
Provides a comprehensive overview of speech and language processing. It covers everything from speech and language processing concepts to speech and language processing algorithms to speech and language processing applications.
Provides a comprehensive overview of operating system concepts. It covers everything from operating system concepts to operating system design to operating system implementation.

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