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This handy cheatsheet, **Cloud Terminology 101**, defines commonly used cloud computing terms and phrases.
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-[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vScDfFwgPMf6mU_UP9qnVs2F4Rtumv7OG4CxgO_YZW8A_VJOI4gGIimcSWbCAMt7rTV1N4kYATjQSCy/pub?start=false&loop=false&delayms=3000){target="_blank"}
+[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vSryqtYkNSuw7wgg8m5Vdi1oaBRN9gIIO-LXlaOWMzHJFc8v9nPeXAbKkKtcbS2n8BOwPBaJjPFy-uv/pub?start=false&loop=false&delayms=3000){target="_blank"}
More specific to working with NASA Earthdata in the cloud, this **Workflow Terminology Cheatsheet** defines terms associated with NASA Earthdata, cloud-optimized data, and some open software science tools you may encounter. A full list of NASA Eathdata-specific terms are found in the [NASA Earthdata Glossary](https://earthdata.nasa.gov/learn/user-resources/glossary).
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-[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vSekMsRRaREYOA81prJvcGfj1-qqm3VZxNDtaJDNIcohk2364cH-f_R07lDrljjd5fOjyakiXK12K5p/pub?start=false&loop=false&delayms=3000){target="_blank"}
+[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vR7Iap03ogOenimB9aoMy0rxB2J2VWcNhXlE_pIabKaCj9VoNNdxuc6IK0A_WjJVEEYZtmzkMn4GHTY/pub?start=false&loop=false&delayms=3000){target="_blank"}
## Cheatsheets & Guides
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_All slides and cheatsheets are available for re-use and remix! Let us know what you think! We welcome your input so we can continue to improve and update these guides. Slides are credited for each deck; Cheatsheets development have been led by Catalina Oaida Taglialatela and Cassie Nickles (PO.DAAC) in Spring 2022._
-([Internal link](https://docs.google.com/presentation/d/1a1_HYdvjBGgJ2Iq6pwB96WuSt_cV18y60J91J9TxJgE/edit#slide=id.p){target="_blank"}).
+([Internal link](https://docs.google.com/presentation/d/1PIWlAHkfn17txYAzPT06RyFL9qvekK33Gw0TH4MsBxQ/edit){target="_blank"}).
### What is the NASA Earthdata Cloud?
NASA Earthdata Cloud is the NASA archive of Earth observations and is hosted in Amazon Web Services (AWS) cloud with DAAC tools and services built for use "next to the data." The NASA DAACs (data centers) are currently transitioning to this cloud-based environment. The cloud offers a scalable and effective way to address storage, network, and data movement concerns while offering a tremendous amount of flexibility to the user. Particularly if working with large data volumes, data access and processing would be more efficient if workflows are taking place in the cloud, avoiding having to download large data volumes. Data download will continue to be freely available to users, from the Earthdata Cloud archive.
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-[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vTu9_vyCmwXf0ekrIyITOvcvTBCdT9sRCXfHuHpr2RDi-K4uZGD9LaW-UWfbTcd2602c7DLetJWGT-v/pub?start=false&loop=false&delayms=3000){target="_blank"}
+[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vS2qii_wY_hzDzamTqCWCU2SfLNG-Zh68uVzklwE1EJLyPi-xV1jdrSZKA_035D2nYIQnuHfE77gbFA/pub?start=false&loop=false&delayms=3000){target="_blank"}
### Cloud Access Pathways
Three pathway examples, to interact and access data (and services) from and within the NASA Earthdata Cloud, are illustrated in the diagram. Green arrows and icons indicate working locally, after downloading data to your local machine, servers, or compute/storage space. Orange arrows and icons highlight a workflow within the cloud, setting up your own AWS EC2 cloud instance, or virtual machine, in the cloud next to the data. Blue arrows and icons also indicate a within the cloud workflow, through shareable cloud environments such as Binder or JupyterHub set up in an AWS cloud region. Note that each of these may have a range of cost models. EOSDIS data are being stored in the *us-west-2* region of AWS cloud; we recommend setting up your cloud computing environment in the same region as the data for free and easy in-cloud access.
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-[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vRDnkZBG2B-jTWZZLU_aZZVADuIl1dCQ-MORCvgXKmikcCSd6y1N-3V5GB49CK9G3h0giZClnK7ICrI/pub?start=false&loop=false&delayms=3000){target="_blank"}
+[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vTFrXw0UQGB5cv6apCyv6VYDmfw0ZW_1seD6h61LmhfeqGmNdon-aU_Lo8IkE06z3ms0bD-sj831j5i/pub?start=false&loop=false&delayms=3000){target="_blank"}
A note on *costing*: What is free and what do I have to budget for, now that data is archived in the cloud?
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The following is a conceptual roadmap for users getting started with NASA Earth Observations cloud-archived data using an in-cloud workflow (i.e. bringing user code into the cloud, avoiding data download and performing data workflows "next to the data").
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-[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vSsEnwqMaMNwtJ3kOLGvavX3QHdvgexWfl2h7Sqda3eLl_QWCb85siuUNJnCW01Pel2RIgqOEkX2bUY/pub?start=false&loop=false&delayms=3000){target="_blank"}
+[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vR1ReEM5OSyjGqdOu6C_6KFCtiCL6cF_Y4-06uZnCs_PAiMyp4cwEpaA4iRsroLL39J1hSw27Co1-bX/pub?start=false&loop=false&delayms=3000){target="_blank"}
#### Local Workflow
The following is a conceptual roadmap for users getting started with NASA Earth Observations cloud-archived data using a local machine (e.g. laptop) workflow, as data storage and computational work.
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-[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vTY3L0yW8B2-w0hiDF08RgiI4_ZffxS1qLeVPXIdFdPkQYcMq_6fllA2pEjyOf9uNeSpCyP1BftmaM-/pub?start=false&loop=false&delayms=3000){target="_blank"}
+[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vSpmQBM-BfRMdtut9qT2oc4uxxTDFpulXMCN6h_9TviDlujn-MZJ4gwX8ilHK1qg1hgvwrt_JXwlaVF/pub?start=false&loop=false&delayms=3000){target="_blank"}
### Tools & Services Roadmap
Below is a practical guide for learning about and selecting helpful tools or services for a given use case, focusing on how to find and access NASA Earthdata Cloud-archived data from local compute environment (e.g. laptop) or from a cloud computing workspace, with accompanying example tutorials. Once you follow your desired pathway, click on the respective blue notebook icon to get to the example tutorial. Note: these pathways are not exhaustive, there are many ways to accomplish these common steps, but these are some of our recommendations.
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-[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vSt78F2dKRltMnKcyXj8hlKQzoIbmCKL9vb4A-7t6UynxZ5UgDhKVVVM5TjI3WBKeuwcRpUz7zFntLv/pub?start=false&loop=false&delayms=3000){target="_blank"}
+[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vQZluRH_3t4UsGM-g0LntY9txqQpx3Nr_AJ_D0IQjdrXMadE694Acsef9uCUANHPafsT16WdpQ8daFZ/pub?start=false&loop=false&delayms=3000){target="_blank"}
### Workflow Cheatsheet
The following is a practical reference guide with links to tutorials and informational websites for users who are starting to take the conceptual pieces and explore and implement in their own workflows.
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-[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vTyXBywWjUONNGLgRSjJdXls4RRSHimW7nIqTizciyyaXfB-AafoqhuMXXxjAGK2fcLWCw82ItelymM/pub?start=false&loop=false&delayms=3000){target="_blank"}
+[Published Google Slide](https://docs.google.com/presentation/d/e/2PACX-1vRR8Vi1K_c82ztwuNcZPMnD3CYZBtMo-NGPngpjh80UlrV3he6Y_mdtt5azNhdfN-lzQQrrqvBzDQSM/pub?start=false&loop=false&delayms=3000){target="_blank"}
## Slides