{"id":2518601,"date":"2023-03-07T13:34:37","date_gmt":"2023-03-07T18:34:37","guid":{"rendered":"https:\/\/xlera8.com\/learn-how-to-increase-efficiency-with-keyboard-shortcuts-in-amazon-athena-query-editor\/"},"modified":"2023-03-19T13:20:34","modified_gmt":"2023-03-19T17:20:34","slug":"learn-how-to-increase-efficiency-with-keyboard-shortcuts-in-amazon-athena-query-editor","status":"publish","type":"platowire","link":"https:\/\/platoai.gbaglobal.org\/platowire\/learn-how-to-increase-efficiency-with-keyboard-shortcuts-in-amazon-athena-query-editor\/","title":{"rendered":"Learn How to Increase Efficiency with Keyboard Shortcuts in Amazon Athena Query Editor"},"content":{"rendered":"<p>Amazon Athena is a powerful cloud-based query service that makes it easy to analyze data in Amazon Simple Storage Service (S3) using standard SQL. With Athena, you can quickly query large amounts of data stored in S3 without having to set up any infrastructure. However, one of the challenges of using Athena is that it can be time consuming to type out long queries. Fortunately, there are a few keyboard shortcuts that can help you increase your efficiency when using the Athena Query Editor. <\/p>\n<p>The first shortcut that can help you save time is the \u201cCtrl + Enter\u201d shortcut. This shortcut will automatically run the query that you have typed in the Query Editor. This is especially helpful if you have a long query that you don\u2019t want to type out every time you want to run it. <\/p>\n<p>Another useful shortcut is \u201cCtrl + F\u201d. This shortcut will open up a search box in the Query Editor, allowing you to quickly search for specific words or phrases within your query. This can be very helpful if you need to quickly find a particular part of your query. <\/p>\n<p>The last shortcut that can help you increase your efficiency with the Athena Query Editor is \u201cCtrl + Space\u201d. This shortcut will open up a list of all the available functions and keywords that can be used in your query. This can be very helpful if you are not sure what keywords or functions to use in your query. <\/p>\n<p>Using these three keyboard shortcuts can help you save time and increase your efficiency when using the Amazon Athena Query Editor. With these shortcuts, you can quickly run queries, search for specific words or phrases, and access a list of all the available functions and keywords. So, if you want to get the most out of your Amazon Athena experience, make sure to take advantage of these keyboard shortcuts.<\/p>\n<ul class=\"plato-post-bottom-links\">\n<li class=\"plato-post-bottom-link-amplifi\">SEO Powered Content &amp; PR Distribution. <a href=\"https:\/\/www.amplifipr.com\" target=\"_blank\" rel=\"noopener\">Get Amplified Today.<\/a><\/li>\n<li class=\"plato-post-bottom-link-platoblockchain\">Platoblockchain. Web3 Metaverse Intelligence. Knowledge Amplified. <a href=\"https:\/\/platoblockchain.com\" target=\"_blank\" rel=\"noopener\">Access Here.<\/a><\/li>\n<li class=\"plato-post-bottom-link-source\"><span>Source: Plato Data Intelligence:<\/span> <a rel=\"noopener\" target=\"_blank\" href=\"https:\/\/platoaistream.com\">PlatoAiStream<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Amazon Athena is a powerful cloud-based query service that makes it easy to analyze data in Amazon Simple Storage Service (S3) using standard SQL. With Athena, you can quickly query large amounts of data stored in S3 without having to set up any infrastructure. However, one of the challenges of using Athena is that it [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":2527032,"menu_order":0,"template":"","format":"standard","meta":[],"aiwire-tag":[560,2048,11,441,131,3090,28495,2773,568,18,133,20,28498,2892,281,315,23,1842,219,220,2170,577,578,4816,28637,591,16985,1326,2926,4075,322,2574,1000,1612,163,1213,1789,743,50,6119,5504,385,55,288,245,2939,2730,167,537,56,57,170,1933,60,61,2645,7333,391,2088,2735,2821,818,178,294,72,298,75,183,488,1259,79,824,2605,9749,5,10,7,8,624,12038,28452,89,3850,414,13164,5786,634,708,2991,7124,6574,1365,500,100,1118,28453,2041,2382,779,711,3190,108,109,305,207,1720,508,111,426,844,307,429,6075,430,309,9,520,435,124,125,1141,312,5466,1742,1382,6],"aiwire":[722],"_links":{"self":[{"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/platowire\/2518601"}],"collection":[{"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/platowire"}],"about":[{"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/types\/platowire"}],"author":[{"embeddable":true,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/users\/2"}],"version-history":[{"count":1,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/platowire\/2518601\/revisions"}],"predecessor-version":[{"id":2518815,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/platowire\/2518601\/revisions\/2518815"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/media\/2527032"}],"wp:attachment":[{"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/media?parent=2518601"}],"wp:term":[{"taxonomy":"aiwire-tag","embeddable":true,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/aiwire-tag?post=2518601"},{"taxonomy":"aiwire","embeddable":true,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/aiwire?post=2518601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}