{"id":12266,"date":"2025-09-15T06:11:02","date_gmt":"2025-09-15T06:11:02","guid":{"rendered":"https:\/\/www.cogainav.com\/?post_type=listivo_listing&#038;p=12266"},"modified":"2025-09-01T06:12:07","modified_gmt":"2025-09-01T06:12:07","slug":"databricks","status":"publish","type":"listivo_listing","link":"https:\/\/www.cogainav.com\/ru\/%d0%bb%d0%b8%d1%81%d1%82%d0%b8%d0%bd%d0%b3\/databricks\/","title":{"rendered":"Databricks"},"content":{"rendered":"<p>Databricks unites data lakes and warehouses into one lightning-fast Lakehouse. Built by Spark\u2019s founders, it delivers ACID Delta tables, GPU-accelerated MLflow, and serverless SQL that scales to zero. Fortune 500 firms cut costs 40 %, slash fraud 30 %, and deploy LLMs in days, all under Unity Catalog\u2019s cross-cloud governance.<\/p>\r\n\r\n<h3 class=\"wp-block-heading\">1. Delta Live Tables (DLT)<\/h3>\r\n\r\n\r\n\r\n<p>DLT introduces declarative ETL pipelines. Engineers write simple SQL or Python statements; Databricks handles dependency graphs, retries, and quality constraints automatically. Expect up to 9 \u00d7 faster development cycles versus hand-coded Spark jobs.<\/p>\r\n\r\n\r\n\r\n<h3 class=\"wp-block-heading\">2. Serverless SQL Warehouses<\/h3>\r\n\r\n\r\n\r\n<p>Completely abstracted compute that starts in seconds, scales to zero, and bills per second of actual usage. Ideal for sporadic BI workloads and executive dashboards that must stay cost-efficient.<\/p>\r\n\r\n\r\n\r\n<h3 class=\"wp-block-heading\">3. Feature Store &amp; Feature Serving<\/h3>\r\n\r\n\r\n\r\n<p>A centralized registry for reusable features with point-and-click serving endpoints that guarantee sub-second latency for real-time ML models or retrieval-augmented generation (RAG) applications.<\/p>\r\n\r\n\r\n\r\n<h3 class=\"wp-block-heading\">4. AutoML &amp; Auto-Feature Engineering<\/h3>\r\n\r\n\r\n\r\n<p>With a single click, AutoML explores algorithms, hyper-parameters, and feature transformations; returns the best model registered in MLflow together with full explainability. Citizen data scientists report 60 % faster PoC-to-production times.<\/p>","protected":false},"author":1,"template":"","listivo_14":[434],"listivo_8605":"","listivo_8606":[""],"class_list":["post-12266","listivo_listing","type-listivo_listing","status-publish","hentry","listivo_14-ai-other-tools","listivo_8605-freemium","listivo_8606-web"],"listivo_145":["https:\/\/www.cogainav.com\/wp-content\/uploads\/2025\/09\/Databricks-Leading-Data-and-AI-Solutions-for-Enterprises.webp"],"listivo_8661":"https:\/\/www.databricks.com\/","_links":{"self":[{"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/listings\/12266","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/listings"}],"about":[{"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/types\/listivo_listing"}],"author":[{"embeddable":true,"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":3,"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/listings\/12266\/revisions"}],"predecessor-version":[{"id":12272,"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/listings\/12266\/revisions\/12272"}],"wp:attachment":[{"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/media?parent=12266"}],"wp:term":[{"taxonomy":"listivo_14","embeddable":true,"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/listivo_14?post=12266"},{"taxonomy":"listivo_8605","embeddable":true,"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/listivo_8605?post=12266"},{"taxonomy":"listivo_8606","embeddable":true,"href":"https:\/\/www.cogainav.com\/ru\/wp-json\/wp\/v2\/listivo_8606?post=12266"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}