{"id":838771,"date":"2020-04-30T01:00:45","date_gmt":"2020-04-30T08:00:45","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=838771"},"modified":"2020-04-30T18:56:24","modified_gmt":"2020-05-01T01:56:24","slug":"advanced-analytics-open-platform-part4","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/sharing-collaboration\/advanced-analytics-open-platform-part4","title":{"rendered":"Save Time on Advanced Analytics – ArcGIS Open Platform Series: Part 4"},"author":9602,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23771,23341,37511],"tags":[555752,633111,26221,639141,31501],"industry":[],"product":[421922,36841,36951,36551,36561,37031],"class_list":["post-838771","blog","type-blog","status-publish","format-standard","hentry","category-3d-gis","category-analytics","category-sharing-collaboration","tag-arcgis-notebooks","tag-enterprise-integration","tag-open-data","tag-open-platform","tag-open-source","product-arcgis","product-api-python","product-image-server","product-arcgis-online","product-arcgis-pro","product-spatial-analyst"],"acf":{"short_description":"This series highlights recent features related to data interoperability, enterprise integration, and open source analytics you might have missed.","flexible_content":[{"acf_fc_layout":"content","content":"

This is the final article of the series rounding up the latest features related to data interoperability, enterprise integrations, ArcGIS extensibility, and open source analytics. These features highlight key advantages of the ArcGIS open platform architecture. With the distraction of global pandemics and all the other feature goodies, we wanted to make sure you scientists, data scientists and code-curious analysts didn’t miss these new features and how-to’s from across the ArcGIS platform. So we’ve looked back through the past several months of blogs and videos and picked out the most important related announcements.<\/p>\n

Part 4 focuses on how data scientists can save time by integrating open source analytics tools into their ArcGIS enterprise workflows. If you want all the recent updates by product<\/em> instead, see this Q1 ArcGIS Release roundup<\/a>.<\/p>\n

Save Time on Advanced Analytics Projects<\/h2>\n

ArcGIS is blowing out its offering for the enterprise data scientist this year with more ArcGIS Notebooks<\/a> options and deeper integrations with deep learning frameworks and the R community. These new releases are making it easier than ever to integrate open science practices within your organization. This round up focuses on those tools that leverage interoperability with external, open source libraries and tools.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":840151,"id":840151,"title":"OpenScience_Tools_Overview_DS2020","filename":"OpenScience_Tools_Overview_DS2020.png","filesize":281586,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/OpenScience_Tools_Overview_DS2020.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/sharing-collaboration\/advanced-analytics-open-platform-part4\/openscience_tools_overview_ds2020","alt":"","author":"9602","description":"","caption":"CTO Jay Theodore provides an overview of ArcGIS Spatial Analytics features at the 2020 Esri Developer Summit.","name":"openscience_tools_overview_ds2020","status":"inherit","uploaded_to":838771,"date":"2020-04-27 20:52:28","modified":"2020-04-28 03:23:01","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1080,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/OpenScience_Tools_Overview_DS2020-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/OpenScience_Tools_Overview_DS2020.png","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/OpenScience_Tools_Overview_DS2020.png","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/OpenScience_Tools_Overview_DS2020.png","large-width":1920,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/OpenScience_Tools_Overview_DS2020-1536x864.png","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/OpenScience_Tools_Overview_DS2020.png","2048x2048-width":1920,"2048x2048-height":1080,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/OpenScience_Tools_Overview_DS2020-826x465.png","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/OpenScience_Tools_Overview_DS2020.png","wide_image-width":1920,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.youtube.com\/watch?v=dgoegW0JPok&list=PLaPDDLTCmy4a-_G7sW0JHxgQ60pM_sAmI&index=10"},{"acf_fc_layout":"content","content":"

Run Python Notebooks from Desktop or the Cloud- New Products!<\/h2>\n

ArcGIS Notebooks<\/a> allow you to create and run your own Python-powered notebook using open source and ArcGIS Python Libraries<\/a>. You can also hit the ground running by importing existing Jupyter notebooks (.ipynb) to better share your analysis with your organization. And you can redeploy downloaded ArcGIS Notebooks in other python environments as well after tweaking how you access ArcGIS services. Bringing Notebooks inside ArcGIS allows seamless access to your organization’s location assets as well as ArcGIS analytical tools using the ArcGIS Python Libraries.<\/p>\n

Hosted ArcGIS Notebooks have previously been available with the ArcGIS Enterprise Notebook Server<\/a> with options to customize your runtime libraries<\/a>. But now you can work natively with ArcGIS Notebooks in the ArcGIS Pro<\/a> 2.5 desktop application, and as hosted items in the ArcGIS Online<\/a> SaaS platform. With hosted notebooks in Online, you don’t have to worry about managing package versions and infrastructure to share your results with colleagues and maintain your analysis for use across the organization. These options increase flexibility in how you can bring the power of Notebooks fully into the enterprise.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":840801,"id":840801,"title":"ArcGISNotebooksOverview","filename":"ArcGISNotebooksOverview.png","filesize":458448,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/ArcGISNotebooksOverview.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/sharing-collaboration\/advanced-analytics-open-platform-part4\/arcgisnotebooksoverview","alt":"ArcGIS Notebooks can be deployed on premise, in the cloud or on your desktop.","author":"9602","description":"","caption":"","name":"arcgisnotebooksoverview","status":"inherit","uploaded_to":838771,"date":"2020-04-28 03:26:26","modified":"2020-04-28 03:27:21","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1739,"height":966,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/ArcGISNotebooksOverview-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/ArcGISNotebooksOverview.png","medium-width":464,"medium-height":258,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/ArcGISNotebooksOverview.png","medium_large-width":768,"medium_large-height":427,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/ArcGISNotebooksOverview.png","large-width":1739,"large-height":966,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/ArcGISNotebooksOverview-1536x853.png","1536x1536-width":1536,"1536x1536-height":853,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/ArcGISNotebooksOverview.png","2048x2048-width":1739,"2048x2048-height":966,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/ArcGISNotebooksOverview-826x459.png","card_image-width":826,"card_image-height":459,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/04\/ArcGISNotebooksOverview.png","wide_image-width":1739,"wide_image-height":966}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-notebooks\/overview"},{"acf_fc_layout":"content","content":"

Convenient access to open source Python integration has long been a feature of ArcGIS Pro, but now with built-in Python notebooks, you can more readily explore all that open source integration has to offer. Create pandas dataframes, data visualizations with libraries like matplotlib, or read in large data sets using dask. The interactive notebook interface gives instant feedback, if your code worked or didn\u2019t, without needing to debug the entire script, making it ideal for iterative analysis and data discovery. See the live demo below.<\/p>\n

Learn more about Notebooks in ArcGIS Pro<\/a>. Learn more about the Notebooks Public Beta offering in ArcGIS Online<\/a> and the options for standard or advanced prepackaged libraries<\/a> (which are the same as for Enterprise 10.7.1). Or watch the Python API technical deep dive<\/a> from virtual 2020 Esri Developer Summit.<\/p>\n

Further Enterprise Notebook Automation<\/strong><\/p>\n

Don’t forget about hosted Notebooks in ArcGIS Enterprise! First released as a server role for Enterprise, Notebooks in Enterprise 10.8 now allows you to automate analyses with the new “Execute Notebook” operation. This operation can be triggered dynamically by an Enterprise webhook or as a scheduled operation within Pro itself. The Execute Notebook API allows notebooks to run using external task schedulers. Learn more about automated notebook execution<\/a>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":764901,"id":764901,"title":"ArcGIS Notebooks are extendable","filename":"ArcGISPro_NotebookDemo2.png","filesize":153519,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/developer-summit-2020-spatial-data-science-in-arcgis-pro\/arcgispro_notebookdemo2","alt":"Use open source libraries to extend ArcGIS Notebooks","author":"6181","description":"","caption":"Watch this demo analysis using pandas and seaborn python libraries using ArcGIS Notebooks Pro. ","name":"arcgispro_notebookdemo2","status":"inherit","uploaded_to":763771,"date":"2020-03-09 22:38:40","modified":"2020-04-29 17:29:12","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1030,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","medium-width":464,"medium-height":249,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","medium_large-width":768,"medium_large-height":412,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","large-width":1920,"large-height":1030,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2-1536x824.png","1536x1536-width":1536,"1536x1536-height":824,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","2048x2048-width":1920,"2048x2048-height":1030,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2-826x443.png","card_image-width":826,"card_image-height":443,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","wide_image-width":1920,"wide_image-height":1030}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/youtu.be\/dgoegW0JPok?t=410"},{"acf_fc_layout":"content","content":"

Deep Learning Integration Improvements<\/h2>\n

Integration with open source deep learning frameworks has been part of ArcGIS Desktop and Enterprise for several releases. Recent upgrades allow you to bring open deep learning frameworks inside ArcGIS Pro, leverage multiple GPUs in parallel and more easily train and apply new deep learning models on full motion video.<\/p>\n

Previously, you could use ArcGIS geoprocessing tools to create training data and export those packages to other frameworks to train deep learning models. Now, you no longer need to leave ArcGIS Pro<\/span> to train your model in the deep learning framework. You can install the TensorFlow, Keras, PyTorch, Fast.ai, and Torchvision Python packages for ArcGIS Pro<\/span>\u00a0deep learning frameworks to work with\u00a0ArcGIS Pro<\/span>. See\u00a0Install Deep Learning frameworks for ArcGIS<\/a>\u00a0for more details.<\/p>\n

Integrating deep learning frameworks with\u00a0ArcGIS Pro<\/span>, coupled with the new tools and features described below, results in a seamless end-to-end deep learning workflow experience.\u00a0 Now with the ArcGIS Image Analyst<\/a> extension in ArcGIS Pro 2.5, two new tools have been added to the Deep Learning toolset<\/a> that can train a deep learning model and classify objects:<\/p>\n