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href="https://cloud.google.com/blog/products/productivity-collaboration" track-name="productivity & collaboration"track-type="blog nav"track-metadata-position="nav"track-metadata-eventdetail="cloud.google.com/blog/products/productivity-collaboration"track-metadata-module="header"><span>Productivity & Collaboration</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="https://cloud.google.com/blog/products/sap-google-cloud" track-name="sap on google cloud"track-type="blog nav"track-metadata-position="nav"track-metadata-eventdetail="cloud.google.com/blog/products/sap-google-cloud"track-metadata-module="header"><span>SAP on Google Cloud</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="https://cloud.google.com/blog/products/storage-data-transfer" track-name="storage & data transfer"track-type="blog 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class="nRhiJb-DARUcf"><div class="Wdmc0c nRhiJb-DbgRPb-wNfPc-cGMI2b"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c nRhiJb-BFbNVe-r8s4j-bMElCd dIsJJe" track-name="data analytics"track-type="tag">Data Analytics</div><div class="nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-R6PoUb"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-EehZO nRhiJb-fmcmS-oXtfBe"><h1 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><span class="FewWi"></span>Dataplex Automatic Discovery makes Cloud Storage data available for Analytics and governance</div></h1></div></div><div class="nRhiJb-fmcmS-oXtfBe dEogG">November 12, 2024</div></div></section><div class="EKklye"><div class="nRhiJb-DARUcf ZWw7T"><div class="npzWPc"><div class="dzoHJ"><div class="nRhiJb-DX2B6 nRhiJb-DX2B6-OWXEXe-h30Snd"><div class="nRhiJb-j5y3u"><ul class="nRhiJb-Qijihe phRaUe" role="list"><li class="hpHPGf"><a class="nRhiJb-ARYxNe" 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class="nRhiJb-qJTHM khCp7b">Product Manager, Google</p></div></section></div></section><div class="nRhiJb-DARUcf"><div class="nRhiJb-ObfsIf nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-qWD73c-cGMI2b"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-ibL1re dzoHJ"><div class="aLW4J" track-metadata-module="left rail"><h5 class="qZDXV Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-wNfPc">Google Cloud Summit Series</h5><p class="nRhiJb-cHYyed Mrfygc nRhiJb-BP2Omd-ma6Yeb-KE6vqe nRhiJb-DbgRPb-R6PoUb-cGMI2b">Discover the latest in AI, Security, Workspace, App Dev, & more.</p><a class="nRhiJb-LgbsSe nRhiJb-LgbsSe-OWXEXe-CNusmb-o6Shpd " href="https://cloudonair.withgoogle.com/summit_series_24?utm_source=cgc-blog&utm_medium=blog&utm_campaign=summit-series-2024&utm_content=summit-series-left-hand-rail-cta&utm_term=-" track-metadata-module="left rail"track-metadata-module_headline="google cloud summit series" track-name="register"track-type="button"track-metadata-position="cta"track-metadata-eventdetail="cloudonair.withgoogle.com/summit_series_24?utm_source=cgc-blog&utm_medium=blog&utm_campaign=summit-series-2024&utm_content=summit-series-left-hand-rail-cta&utm_term=-">Register </a></div></div><div class="OYL9D nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf" jsname="tx2NYc"><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">In today's data- and AI-driven world, organizations are grappling with an ever-growing volume of structured and unstructured data. This growth makes it increasingly challenging to locate the right data at the right time, and a significant portion of enterprise data remains undiscovered or underutilized — what’s often referred to as "dark data." In fact, a staggering </span><a href="https://services.google.com/fh/files/misc/data_ai_trends_report.pdf" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">66% of organizations</span></a><span style="vertical-align:baseline"> report that at least half of their data falls into this category.</span></p> <p><span style="vertical-align:baseline">To address this challenge, today we’re announcing automatic discovery and cataloging of Google Cloud Storage data with </span><a href="https://cloud.google.com/dataplex/"><span style="text-decoration:underline;vertical-align:baseline">Dataplex</span></a><span style="vertical-align:baseline">, part of BigQuery’s unified platform for intelligent data to AI governance. This powerful capability empowers organizations to:</span></p> <ul> <li style="list-style-type:disc;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Automatically discover </strong><span style="vertical-align:baseline">valuable data assets residing within Cloud Storage, including structured and unstructured data such as documents, files, PDFs, images, and more.</span></p> </li> <li style="list-style-type:disc;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Harvest and catalog </strong><span style="vertical-align:baseline">metadata for your discovered assets by keeping schema definitions up-to-date with built-in compatibility checks and partition detection, as data evolves.</span></p> </li> <li style="list-style-type:disc;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Enable analytics</strong><span style="vertical-align:baseline"> for data science and AI use cases at scale with auto-created BigLake, external or object tables, eliminating the need for data duplication or manually creating table definitions.</span></p> </li> </ul></span></section><section class="k6ctOd"><aside class="IwVNTb"><div class="ecJG2e nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf nRhiJb-snVHke-ibL1re-X66g3b nRhiJb-snVHke-R6PoUb-UFsB2c"><h4 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">$300 in free credit to try Google Cloud data analytics</h4><p class="nRhiJb-qJTHM nRhiJb-DbgRPb-R6PoUb-ma6Yeb"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>Bulid intelligent apps using real-time data insights with $300 in free credit for new customers. Plus, all customers get free monthly usage of 20+ products, including BigQuery.</p></span></p><a class="nRhiJb-LgbsSe nRhiJb-LgbsSe-OWXEXe-MNynB-o6Shpd LZTd1c" href="http://console.cloud.google.com/freetrial?redirectPath=/bigquery/" target="_blank" rel="noopener" track-name="start building for free"track-type="button"track-metadata-position="body"track-metadata-eventdetail="http://console.cloud.google.com/freetrial?redirectPath=/bigquery/"track-metadata-module="aside"track-metadata-module_headline="$300 in free credit to try google cloud data analytics" track-name="start building for free"track-type="button"track-metadata-position="body"track-metadata-eventdetail="http://console.cloud.google.com/freetrial?redirectPath=/bigquery/">Start building for free </a></div></div></aside></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">How it works</strong></h3> <p><span style="vertical-align:baseline">The automatic discovery and cataloging process in Dataplex is designed to be integrated and efficient, and performs the following steps:</span></p> <ol> <li style="list-style-type:decimal;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Discovery scan:</strong><span style="vertical-align:baseline"> Discovery scan is configured by the user using the BigQuery Studio UI, CLI or gcloud, which scans your Cloud Storage bucket with up to millions of files, identifying and classifying data assets.</span></p> </li> <li style="list-style-type:decimal;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Metadata extraction:</strong><span style="vertical-align:baseline"> Relevant metadata, including schema definitions and partition information, is extracted from the discovered assets.</span></p> </li> <li style="list-style-type:decimal;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Creation of dataset and tables in BigQuery:</strong><span style="vertical-align:baseline"> A new dataset with numerous BigLake, external or object tables (for unstructured data) is automatically created in BigQuery with accurate, up-to-date table definitions. For scheduled scans, these tables will be updated as the data in cloud storage bucket evolves.</span></p> </li> <li style="list-style-type:decimal;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Analytics and AI preparation:</strong><span style="vertical-align:baseline"> The published dataset and tables are available for analysis, processing, data science, and AI use cases in BigQuery, as well as open-source engines like Spark, Hive, and Pig.</span></p> </li> <li style="list-style-type:decimal;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Catalog integration:</strong><span style="vertical-align:baseline"> All BigLake tables are integrated into the Dataplex catalog, making them easily searchable and accessible.</span></p> </li> </ol></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH H05fDc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/1_eTn70Jg.max-800x800.png" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/1_eTn70Jg.max-800x800.png" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH H05fDc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/1_eTn70Jg.max-800x800.png" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/1_eTn70Jg.max-800x800.png" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/original_images/2_wkd44m5.gif" alt="https://storage.googleapis.com/gweb-cloudblog-publish/original_images/2_wkd44m5.gif" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/original_images/2_wkd44m5.gif" alt="https://storage.googleapis.com/gweb-cloudblog-publish/original_images/2_wkd44m5.gif" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">Key benefits</strong></h3> <p><span style="vertical-align:baseline">Dataplex’s automatic discovery and cataloging feature offers a multitude of benefits for organizations:</span></p> <ul> <li style="list-style-type:disc;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Enhanced data visibility:</strong><span style="vertical-align:baseline"> Gain a clear understanding of your data and AI assets across Google Cloud, eliminating the guesswork and reducing the time spent searching for relevant information.</span></p> </li> <li style="list-style-type:disc;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Reduced manual effort</strong><span style="vertical-align:baseline">: Cut back on the toil and effort of creating table definitions manually by letting Dataplex scan the bucket and create numerous BigLake tables that correspond to your data in Cloud Storage.</span></p> </li> <li style="list-style-type:disc;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Accelerated analytics and AI:</strong><span style="vertical-align:baseline"> Integrate the data that’s discovered into your analytics and AI workflows, unlocking valuable insights and driving informed decision-making.</span></p> </li> <li style="list-style-type:disc;vertical-align:baseline"> <p><strong style="vertical-align:baseline">Simplified data access:</strong><span style="vertical-align:baseline"> Provide authorized users with easy access to the data they need, while maintaining appropriate security and control measures.</span></p> </li> </ul> <p><span style="vertical-align:baseline">For Storage admins who are interested in Cloud Storage management and gaining insights into their entire storage estate, please refer to </span><a href="https://cloud.google.com/blog/products/storage-data-transfer/gemini-insights-about-cloud-storage"><span style="text-decoration:underline;vertical-align:baseline">Understand your Cloud Storage footprint with AI-powered queries and insights</span></a></p> <h3><strong style="vertical-align:baseline">Unlock your data’s potential</strong></h3> <p><span style="vertical-align:baseline">A</span><span style="vertical-align:baseline">utomatic discovery and cataloging in Dataplex marks a significant step forward in helping organizations unlock the full potential of their data. By eliminating the challenges associated with dark data and providing a comprehensive, searchable catalog of your Cloud Storage assets, Dataplex empowers you to make data-driven decisions with confidence.</span></p> <p><span style="vertical-align:baseline">We encourage you to explore this powerful new feature and experience the benefits firsthand. To learn more and get started, please visit the </span><a href="https://cloud.google.com/dataplex/docs"><span style="text-decoration:underline;vertical-align:baseline">Dataplex documentation</span></a><span style="vertical-align:baseline"> or contact our team for assistance.</span></p></span></section><section class="kcBhad"><section class="Fabbec"><span class="WrMNjb">Posted in</span><ul class="FzXI4e"><li class="I4B51b"><a href="https://cloud.google.com/blog/products/data-analytics" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/products/data-analytics"track-metadata-module="tag list"track-metadata-module_headline="posted in">Data Analytics</a></li><li class="I4B51b"><a href="https://cloud.google.com/blog/products/bigquery" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/products/bigquery"track-metadata-module="tag list"track-metadata-module_headline="posted in">BigQuery</a></li><li class="I4B51b"><a href="https://cloud.google.com/blog/products/storage-data-transfer" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/products/storage-data-transfer"track-metadata-module="tag list"track-metadata-module_headline="posted in">Storage & Data Transfer</a></li></ul></section></section></div></div></div></div></div><section class="nRhiJb-DARUcf " track-metadata-module="related articles" track-metadata-module_headline="related articles"><div class="nRhiJb-DbgRPb-c5RTEf-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><h5 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-wNfPc nRhiJb-DbgRPb-II5mzb-cGMI2b">Related articles</h5><section class="m9cUGf HGev3 nJD2Qe nRhiJb-ObfsIf"><div class=" QaGyvd nRhiJb-kR0ZEf-OWXEXe-GV1x9e-c5RTEf nRhiJb-kR0ZEf-OWXEXe-GV1x9e-qWD73c-V2iZpe"><div class="mA0uBe"><a href="https://cloud.google.com/blog/products/data-analytics/dataproc-serverless-performance-and-usability-updates" class="lD2oe" track-name="dataproc serverless: now faster easier and 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BigLake tables.",[1731373200],"https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-2600x2600.jpg","https://cloud.google.com/blog/products/data-analytics/dataplex-discovers-and-catalogs-cloud-storage-data",[1731373202,132360000]],[["Parth Desai","Product Manager, Google"]],[null,"\u003cscript type\u003d\"application/ld+json\"\u003e{\"@context\":\"https://schema.org\",\"@type\":\"BlogPosting\",\"@id\":\"https://cloud.google.com/blog/products/data-analytics/dataplex-discovers-and-catalogs-cloud-storage-data\",\"headline\":\"Dataplex discovers and catalogs Cloud Storage data\",\"description\":\"Dataplex can now automatically discover and catalog Google Cloud Storage data, extracting metadata, and creating BigQuery and BigLake tables.\",\"image\":\"https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-2600x2600.jpg\",\"author\":[{\"@type\":\"Person\",\"name\":\"Parth Desai\",\"url\":\"\"}],\"datePublished\":\"2024-11-12\",\"publisher\":{\"@type\":\"Organization\",\"name\":\"Google Cloud\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https://www.gstatic.com/devrel-devsite/prod/v8bb8fa0afe9a8c3a776ebeb25d421bb443344d789b3607754dfabea418b8c4be/cloud/images/cloud-logo.svg\"}},\"url\":\"https://cloud.google.com/blog/products/data-analytics/dataplex-discovers-and-catalogs-cloud-storage-data\",\"keywords\":[\"Data Analytics\",\"BigQuery\",\"Storage \\u0026 Data Transfer\"],\"timeRequired\":\"PT3M\"}\u003c/script\u003e"],["Dataplex Automatic Discovery makes Cloud Storage data available for Analytics and governance"],null,null,[[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eIn today's data- and AI-driven world, organizations are grappling with an ever-growing volume of structured and unstructured data. This growth makes it increasingly challenging to locate the right data at the right time, and a significant portion of enterprise data remains undiscovered or underutilized \u2014 what\u2019s often referred to as \"dark data.\" In fact, a staggering \u003c/span\u003e\u003ca href\u003d\"https://services.google.com/fh/files/misc/data_ai_trends_report.pdf\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003e66% of organizations\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e report that at least half of their data falls into this category.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eTo address this challenge, today we\u2019re announcing automatic discovery and cataloging of Google Cloud Storage data with \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/dataplex/\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eDataplex\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e, part of BigQuery\u2019s unified platform for intelligent data to AI governance. This powerful capability empowers organizations to:\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eAutomatically discover \u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003evaluable data assets residing within Cloud Storage, including structured and unstructured data such as documents, files, PDFs, images, and more.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eHarvest and catalog \u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003emetadata for your discovered assets by keeping schema definitions up-to-date with built-in compatibility checks and partition detection, as data evolves.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eEnable analytics\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e for data science and AI use cases at scale with auto-created BigLake, external or object tables, eliminating the need for data duplication or manually creating table definitions.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e"]]],[null,["$300 in free credit to try Google Cloud data analytics",null,"Start building for free","http://console.cloud.google.com/freetrial?redirectPath\u003d/bigquery/",[null,"\u003cp\u003eBulid intelligent apps using real-time data insights with $300 in free credit for new customers. Plus, all customers get free monthly usage of 20+ products, including BigQuery.\u003c/p\u003e"]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eHow it works\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThe automatic discovery and cataloging process in Dataplex is designed to be integrated and efficient, and performs the following steps:\u003c/span\u003e\u003c/p\u003e\n\u003col\u003e\n\u003cli style\u003d\"list-style-type:decimal;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eDiscovery scan:\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e Discovery scan is configured by the user using the BigQuery Studio UI, CLI or gcloud, which scans your Cloud Storage bucket with up to millions of files, identifying and classifying data assets.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:decimal;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eMetadata extraction:\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e Relevant metadata, including schema definitions and partition information, is extracted from the discovered assets.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:decimal;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eCreation of dataset and tables in BigQuery:\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e A new dataset with numerous BigLake, external or object tables (for unstructured data) is automatically created in BigQuery with accurate, up-to-date table definitions. For scheduled scans, these tables will be updated as the data in cloud storage bucket evolves.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:decimal;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eAnalytics and AI preparation:\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e The published dataset and tables are available for analysis, processing, data science, and AI use cases in BigQuery, as well as open-source engines like Spark, Hive, and Pig.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:decimal;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eCatalog integration:\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e All BigLake tables are integrated into the Dataplex catalog, making them easily searchable and accessible.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["https://storage.googleapis.com/gweb-cloudblog-publish/images/1_eTn70Jg.max-800x800.png",null,null,"https://storage.googleapis.com/gweb-cloudblog-publish/images/1_eTn70Jg.max-800x800.png"],null,2]]],[null,null,null,null,null,null,null,null,[[[null,""],["https://storage.googleapis.com/gweb-cloudblog-publish/original_images/2_wkd44m5.gif","https://storage.googleapis.com/gweb-cloudblog-publish/original_images/2_wkd44m5.gif 1060w, https://storage.googleapis.com/gweb-cloudblog-publish/original_images/2_wkd44m5.gif 1140w"," 1060px, 1140px","https://storage.googleapis.com/gweb-cloudblog-publish/original_images/2_wkd44m5.gif"],null,3]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eKey benefits\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eDataplex\u2019s automatic discovery and cataloging feature offers a multitude of benefits for organizations:\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eEnhanced data visibility:\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e Gain a clear understanding of your data and AI assets across Google Cloud, eliminating the guesswork and reducing the time spent searching for relevant information.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eReduced manual effort\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e: Cut back on the toil and effort of creating table definitions manually by letting Dataplex scan the bucket and create numerous BigLake tables that correspond to your data in Cloud Storage.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eAccelerated analytics and AI:\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e Integrate the data that\u2019s discovered into your analytics and AI workflows, unlocking valuable insights and driving informed decision-making.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eSimplified data access:\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e Provide authorized users with easy access to the data they need, while maintaining appropriate security and control measures.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eFor Storage admins who are interested in Cloud Storage management and gaining insights into their entire storage estate, please refer to \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/blog/products/storage-data-transfer/gemini-insights-about-cloud-storage\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eUnderstand your Cloud Storage footprint with AI-powered queries and insights\u003c/span\u003e\u003c/a\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eUnlock your data\u2019s potential\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eA\u003c/span\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eutomatic discovery and cataloging in Dataplex marks a significant step forward in helping organizations unlock the full potential of their data. By eliminating the challenges associated with dark data and providing a comprehensive, searchable catalog of your Cloud Storage assets, Dataplex empowers you to make data-driven decisions with confidence.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eWe encourage you to explore this powerful new feature and experience the benefits firsthand. To learn more and get started, please visit the \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/dataplex/docs\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eDataplex documentation\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e or contact our team for assistance.\u003c/span\u003e\u003c/p\u003e"]]]],[["Data Analytics","Dataproc Serverless: Now faster, easier and smarter","Running Dataproc Serverless now has Native query execution, integrated monitoring, and Gemini-powered proactive autotuning and troubleshooting.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg"],null,7,null,"https://cloud.google.com/blog/products/data-analytics/dataproc-serverless-performance-and-usability-updates",null,1,[["Pardha Saradhi Uppala","Product Manager"],["Virat Bansal","Software Engineer"]],null,"55584"],["Data Analytics","Secure your data ecosystem: a multi-layered approach with Google Cloud","A new ebook, Building a Secure Data Platform with Google Cloud, details the tools available to protect your data as you use it to grow your business.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg"],null,3,null,"https://cloud.google.com/blog/products/data-analytics/learn-how-to-build-a-secure-data-platform-with-google-cloud-ebook",null,1,[["Nic Smith","Head of Product Marketing, Data \u0026 Analytics"],["Robert Sadowski","Director, Product Marketing, Security \u0026 Trust"]],null,"55573"],["Data Analytics","How Deutsche Bank built a new retail data platform on Google Cloud","A closer look at Deutsche Bank\u2019s Private Bank data platform \u2014 its requirements, architecture, services, and management and operations.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg"],null,7,null,"https://cloud.google.com/blog/products/data-analytics/inside-deutsche-banks-pbdp-retail-data-platform",null,1,[["Vladimir Elvov","Lead Customer Engineer, Data \u0026 Analytics"],["Lars Fockele","Lead Data Engineer, Deutsche Bank AG"]],null,"55554"],["Data Analytics","How PUMA leverages built-in intelligence with BigQuery for greater customer engagement","To improve its customer engagement and prepare for a cookieless future via advanced audience segmentation, PUMA partnered with Google Cloud.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/puma-website-store-suede-xl_1.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/puma-website-store-suede-xl_1.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/puma-website-store-suede-xl_1.max-700x700.jpg 648w"," 324px, 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