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update image where UI has changed.
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01-module-feature-store-foundations/m1_nb0_prepare_datasets.ipynb

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"source": [
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"orders_df.to_csv('../data/transformed/orders.csv', index=False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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],
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"instance_type": "ml.t3.medium",
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"kernelspec": {
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"display_name": "Python 3 (Data Science)",
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"display_name": "Python 3.8.13 ('aws')",
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"language": "python",
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"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.10"
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"version": "3.8.13"
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},
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"vscode": {
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"interpreter": {
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"hash": "b57d0197b3d0d65aabbca6dd30873297b6e3ebcdecad5935233205047352b972"
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}
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}
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},
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"nbformat": 4,

01-module-feature-store-foundations/m1_nb1_introduction_to_feature_store.ipynb

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"source": [
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"fs.list_feature_groups(current_timestamp[0:5])"
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]
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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],
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"instance_type": "ml.t3.medium",
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"kernelspec": {
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"display_name": "Python 3 (Data Science)",
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"display_name": "Python 3.8.13 ('aws')",
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"language": "python",
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"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.10"
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"version": "3.8.13"
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},
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"vscode": {
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"interpreter": {
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"hash": "b57d0197b3d0d65aabbca6dd30873297b6e3ebcdecad5935233205047352b972"
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}
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}
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},
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"nbformat": 4,

02-module-working-with-offline-store/m2_nb1_feature_store_dataset_extraction.ipynb

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"customers_sample_df = Utils.sample(customers_feature_group_name, n=5)\n",
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"customers_sample_df.head()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"celltoolbar": "Tags",
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"instance_type": "ml.m5.4xlarge",
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"kernelspec": {
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"display_name": "Python 3 (Data Science)",
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"display_name": "Python 3.8.13 ('aws')",
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"language": "python",
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"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.10"
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"version": "3.8.13"
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},
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"notice": "Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the \"License\"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the \"license\" file accompanying this file. This file is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License."
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"notice": "Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the \"License\"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the \"license\" file accompanying this file. This file is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.",
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"vscode": {
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"interpreter": {
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"hash": "b57d0197b3d0d65aabbca6dd30873297b6e3ebcdecad5935233205047352b972"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4

02-module-working-with-offline-store/m2_nb2_feature_metadata_search_discovery.ipynb

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"search_string=\"married\"\n",
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"search_features_using_string(search_string)"
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]
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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],
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"instance_type": "ml.t3.medium",
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"kernelspec": {
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"display_name": "Python 3 (Data Science)",
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"display_name": "Python 3.10.4 ('duke')",
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"language": "python",
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"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.10"
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"version": "3.10.4"
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},
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"vscode": {
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"interpreter": {
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"hash": "00878cbed564b904a98b4a19808853cb6b9988746b881ea025a8408713879bf5"
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}
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}
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},
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"nbformat": 4,

02-module-working-with-offline-store/m2_nb3_offline_iceberg_compaction.ipynb

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"\n",
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"![Offline File Compaction](../images/smfs_glue_logs.png \"Offline File Compaction\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bf67e1f2-d6ba-4ab6-b232-3e1c1c1cd004",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ed728b08-07dd-48ff-b479-2b1fb80eca01",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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],
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"instance_type": "ml.t3.medium",
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"kernelspec": {
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"display_name": "Python 3 (Data Science)",
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"display_name": "Python 3.8.13 ('aws')",
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"language": "python",
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"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.10"
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"version": "3.8.13"
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},
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"vscode": {
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"interpreter": {
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"hash": "b57d0197b3d0d65aabbca6dd30873297b6e3ebcdecad5935233205047352b972"
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}
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}
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},
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"nbformat": 4,

images/AthenaJoin.png

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images/AthenaOrders.png

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images/FS0.png

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images/FS1.png

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images/FS2.png

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