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#29 Unboxing Amazon Timestream

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Manage episode 274439295 series 2570451
Content provided by Andreas Wittig and Michael Wittig focusing on AWS Cloud, Andreas Wittig, and Michael Wittig focusing on AWS Cloud. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andreas Wittig and Michael Wittig focusing on AWS Cloud, Andreas Wittig, and Michael Wittig focusing on AWS Cloud or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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Every week, we write about all things AWS. For example, we unbox or review new AWS services. We also share pitfalls that we learned about the hard way ourselves. On top of that, we provide code examples for Infrastructure as Code and Serverless applications.

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Notes

Don't miss the our blog post Unboxing Amazon Timestream, the written version of this podcast episode.

Amazon Timestream is a fully managed time-series database with zero operational overhead. Timestream auto-scales both the ingestion and the query processing layer. You pay for ingesting data, storing data, and analyzing data independently.

If you want to write queries from scratch, check out the SQL based Timestream Query Language Reference. If you are interested in the details, I created a video for our ambitious cloudonaut plus subscribers, where I demonstrate how I ingest and analyze stock prices with Timestream.

Support us

We launched cloudonaut.io in 2015. Since then, we have published hundreds of articles, podcast episodes, and videos. It's all free and means a lot of work in our spare time. We enjoy sharing our AWS knowledge with you.

Have you learned something new by reading, listening, or watching our content? If so, we kindly ask you to support us in producing high-quality & independent AWS content. We look forward to sharing our AWS knowledge with you.

Support us!

Feedback

We ask for feedback! Please rate or review our podcast on Apple Podcasts or wherever you listen to your favorite shows. Or send us a message via Twitter (Andreas and Michael) or LinkedIn (Andreas and Michael) or send us an email.

  continue reading

91 episodes

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#29 Unboxing Amazon Timestream

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Manage episode 274439295 series 2570451
Content provided by Andreas Wittig and Michael Wittig focusing on AWS Cloud, Andreas Wittig, and Michael Wittig focusing on AWS Cloud. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andreas Wittig and Michael Wittig focusing on AWS Cloud, Andreas Wittig, and Michael Wittig focusing on AWS Cloud or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Get used to new services on AWS

Newsletter

Every week, we write about all things AWS. For example, we unbox or review new AWS services. We also share pitfalls that we learned about the hard way ourselves. On top of that, we provide code examples for Infrastructure as Code and Serverless applications.

Subscribe to our newsletter for free!

Notes

Don't miss the our blog post Unboxing Amazon Timestream, the written version of this podcast episode.

Amazon Timestream is a fully managed time-series database with zero operational overhead. Timestream auto-scales both the ingestion and the query processing layer. You pay for ingesting data, storing data, and analyzing data independently.

If you want to write queries from scratch, check out the SQL based Timestream Query Language Reference. If you are interested in the details, I created a video for our ambitious cloudonaut plus subscribers, where I demonstrate how I ingest and analyze stock prices with Timestream.

Support us

We launched cloudonaut.io in 2015. Since then, we have published hundreds of articles, podcast episodes, and videos. It's all free and means a lot of work in our spare time. We enjoy sharing our AWS knowledge with you.

Have you learned something new by reading, listening, or watching our content? If so, we kindly ask you to support us in producing high-quality & independent AWS content. We look forward to sharing our AWS knowledge with you.

Support us!

Feedback

We ask for feedback! Please rate or review our podcast on Apple Podcasts or wherever you listen to your favorite shows. Or send us a message via Twitter (Andreas and Michael) or LinkedIn (Andreas and Michael) or send us an email.

  continue reading

91 episodes

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