{"id":2678782,"date":"2025-02-26T10:00:52","date_gmt":"2025-02-26T18:00:52","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2678782"},"modified":"2025-02-26T23:14:47","modified_gmt":"2025-02-27T07:14:47","slug":"whats-new-in-arcgis-data-pipelines-february-2025","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/announcements\/whats-new-in-arcgis-data-pipelines-february-2025","title":{"rendered":"What’s New in ArcGIS Data Pipelines (February 2025)"},"author":7431,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[37101],"tags":[776052,766452,764952,777932],"industry":[],"product":[36551],"class_list":["post-2678782","blog","type-blog","status-publish","format-standard","hentry","category-announcements","tag-arcgis-data-pipelines","tag-data-preparation","tag-etl","tag-whats-new-february-2025","product-arcgis-online"],"acf":{"authors":[{"ID":7431,"user_firstname":"Bethany","user_lastname":"Scott","nickname":"Bethany Scott","user_nicename":"bethanyscott","display_name":"Bethany Scott","user_email":"BScott@esri.com","user_url":"","user_registered":"2018-03-21 18:21:18","user_description":"Bethany (she\/her) is a Product Engineer on the Data Pipelines team and the GeoAnalytics team. Her background is in biology and GIS with experience in data management and spatial-temporal analysis.","user_avatar":""},{"ID":263392,"user_firstname":"Albert","user_lastname":"Schelin","nickname":"Albert Schelin","user_nicename":"aschelin","display_name":"Albert Schelin","user_email":"ASchelin@esri.com","user_url":"","user_registered":"2021-08-12 21:11:17","user_description":"Albert is a Product Marketing Manager at Esri, promoting ArcGIS Web Editor and ArcGIS Data Pipelines. When he isn't promoting Esri's products, you can find him enjoying a cup of single origin light roast coffee at a local coffee shop.","user_avatar":""}],"short_description":"Learn more about what's new in Data Pipelines with the February 2025 update of ArcGIS Online.","flexible_content":[{"acf_fc_layout":"content","content":"

This February, ArcGIS Data Pipelines celebrates its first birthday! Data Pipelines is a native data integration capability in ArcGIS Online that streamlines data preparation workflows. Its intuitive drag-and-drop interface allows you to integrate data without coding. You can bring data into Data Pipelines, prepare it with tools, and create outputs that can be used in your downstream mapping and analysis workflows. The app also supports automation via task scheduling and other methods to help you ensure that the data brought into ArcGIS Online remains current.<\/p>\n

In case you missed it, the November update of Data Pipelines<\/a> introduced the new Pivot and Dissolve tools, the ability to document your workflow using notes, a new output method to overwrite existing layers, and more. Let\u2019s take a look at the improvements for the February 2025 release of ArcGIS Data Pipelines.<\/p>\n"},{"acf_fc_layout":"content","content":"

What\u2019s New?<\/h2>\n"},{"acf_fc_layout":"content","content":"

The February 2025 update of Data Pipelines includes a brand-new tool and several tool enhancements. In addition, we\u2019ve added a few enhancements for managing notes and implemented an improved user interface with the upgrade to Calcite 3.0. Keep reading to learn more!<\/p>\n"},{"acf_fc_layout":"content","content":"

Use the new Summarize attributes tool<\/h3>\n"},{"acf_fc_layout":"content","content":"

The new Summarize attributes tool<\/a> enables you to calculate statistics for your data allowing you to gain more insight from your datasets. You can summarize all records from a dataset to find patterns across an entire dataset, or summarize records into groups that share a common attribute. For example, if you have sales data, you could calculate total sales for all store locations, or calculate sales per location ID.<\/p>\n

Watch the video below to see Summarize attributes in action.<\/p>\n"},{"acf_fc_layout":"kaltura","video_id":"1_ha0e688w","time":false,"start":0,"stop":""},{"acf_fc_layout":"content","content":"

Filter your data using dynamic time queries<\/h3>\n"},{"acf_fc_layout":"content","content":"

Data is commonly collected with a timestamp associated with each record. With this type of data, it can be important to work with the latest information to ensure you\u2019re making timely and informed decisions. To help you with this, we\u2019ve enhanced the Filter by attribute tool<\/a> to support the following date time expressions:<\/p>\n