{"id":13441,"date":"2026-08-10T10:59:20","date_gmt":"2026-08-10T10:59:20","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-azure-databricks-and-spark-sql-python-2025-10\/"},"modified":"2026-08-10T10:59:20","modified_gmt":"2026-08-10T10:59:20","slug":"udemy-azure-databricks-and-spark-sql-python-2025-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-azure-databricks-and-spark-sql-python-2025-10\/","title":{"rendered":"Udemy \u2013 Azure Databricks and Spark SQL (Python) 2025-10"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Descriptions<\/h2>\n<p>Azure Databricks and Spark SQL (Python), Databricks is recognised as a leader in the Gartner Magic Quadrant for Data &amp; AI platforms and has become the go-to lakehouse platform for modern data engineering, enabling organisations to build, orchestrate, and optimise pipelines at scale. This course balances theory, hands-on coding, and practical projects: every concept is explained clearly, demonstrated live in Databricks, and reinforced with a multi-phase, end-to-end NYC Taxi project plus downloadable notebooks containing full code, step-by-step documentation, and extra resources. Curriculum highlights include a four-part end-to-end project; foundations (data engineering, Spark architecture, PySpark, and the Lakehouse); Azure setup and Databricks workspace configuration; notebooks and workspace tips; compute topics (clusters, runtimes, serverless vs all-purpose, instance pools, SQL warehouses); Spark SQL (Python) and PySpark transformations; Medallion architecture (Bronze, Silver, Gold); Delta Lake features (transaction log, schema enforcement and evolution, time travel, MERGE\/UPDATE\/DELETE); workflows and jobs (parameters, failure handling, concurrency, monitoring); Git and local development with VS Code; functions and modularization (Python modules and UDFs); Unity Catalog and governance; streaming and Lakeflow pipelines; performance tuning (explain plans, caching, shuffles, broadcast joins, partitioning, Z-ORDER, Liquid Clustering); and automation &amp; CI\/CD. By the end of the course you\u2019ll have the knowledge and confidence to design, build, and optimise production-grade data pipelines on Databricks.<\/p>\n<h3>What you\u2019ll learn<\/h3>\n<ul>\n<li>How to use Databricks to build and run data engineering workflows<\/li>\n<li>The principles of the Lakehouse architecture with Delta Lake<\/li>\n<li>How to process data with Spark SQL and PySpark<\/li>\n<li>Best practices for Databricks compute, jobs, and orchestration<\/li>\n<li>How to apply governance with Unity Catalog and manage secure access<\/li>\n<li>Working with streaming pipelines using Structured Streaming and Lakeflow<\/li>\n<li>Applying concepts to real-world projects with modular code and version control<\/li>\n<li>Real World Scenarios<\/li>\n<\/ul>\n<h3>Who this course is for<\/h3>\n<ul>\n<li>Anyone interested in working with Big Data and Spark<\/li>\n<li>Anyone interested in working with Databricks<\/li>\n<li>Anyone interested in working with cloud platforms<\/li>\n<li>Aspiring Data Engineers<\/li>\n<\/ul>\n<h3>Specificatoin of Azure Databricks and Spark SQL (Python)<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/azure-databricks-and-spark-sql-python\/?couponCode=CP2511241BG1\" target=\"_blank\" rel=\"noopener\">Udemy<\/a><\/li>\n<li>Teacher :<\/li>\n<li>Language: English<\/li>\n<li>Level : All Levels<\/li>\n<li>Lectures : 221<\/li>\n<li>Duration : 17 hours and 29 minutes<\/li>\n<\/ul>\n<h3>Content of Azure Databricks and Spark SQL (Python)<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1026957\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/12\/Azure-Databricks-and-Spark-SQL-Python.c-1.jpeg\" alt=\"Azure Databricks and Spark SQL (Python)\" width=\"705\" height=\"1877\"> <img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1026958\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/12\/Azure-Databricks-and-Spark-SQL-Python.d-1.jpeg\" alt=\"Azure Databricks and Spark SQL (Python)\" width=\"705\" height=\"340\"><\/p>\n<h3>Requirements<\/h3>\n<ul dir=\"ltr\">\n<li>Basic to intermediate SQL<\/li>\n<li>Basic to intermediate Python<\/li>\n<\/ul>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1021896\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/11\/Azure-Databricks-and-Spark-SQL-Python.d.jpeg\" alt=\"Azure Databricks and Spark SQL (Python)\" width=\"705\" height=\"340\"><\/p>\n<h3>Sample Clip<\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-185840-1\"><video class=\"wp-video-shortcode\" id=\"video-185840-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Azure_Databricks_and_Spark_SQL_Python_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Azure_Databricks_and_Spark_SQL_Python_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Azure_Databricks_and_Spark_SQL_Python_Downloadly.ir.mp4?nocache=1786175642760\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Azure_Databricks_and_Spark_SQL_Python_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3>Installation Guide<\/h3>\n<p>Extract the files and watch with your favorite player<\/p>\n<p>Subtitle : English<\/p>\n<p>Quality: 720<\/p>\n<p>The 2025\/10 version has decreased the number of lessons by 136 and the duration decreased by 12 hours 28 minutes compared to old one.<\/p>\n<h3>Download Links<\/h3>\n<p><strong>Downloadly<\/strong><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Azure_Databricks_and_Spark_SQL_Python_2025-10_Downloadly.ir.part1.rar?nocache=1786175641\" target=\"_blank\" rel=\"noopener\">Download Part 1 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Azure_Databricks_and_Spark_SQL_Python_2025-10_Downloadly.ir.part2.rar?nocache=1786175641\" target=\"_blank\" rel=\"noopener\">Download Part 2 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Azure_Databricks_and_Spark_SQL_Python_2025-10_Downloadly.ir.part3.rar?nocache=1786175641\" target=\"_blank\" rel=\"noopener\">Download Part 3 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_Azure_Databricks_and_Spark_SQL_Python_2025-10_Downloadly.ir.part4.rar?nocache=1786175641\" target=\"_blank\" rel=\"noopener\">Download Part 4 \u2013 640 MB<\/a><\/p>\n<p><strong>Rapidgator<\/strong><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/db99cd3ac9b6e2f62d75c7f7cad8e9fd\/Udemy_Azure_Databricks_and_Spark_SQL_Python_2025-10_Downloadly.ir.part1.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 1 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/a202ebd994a1eafe671a90f77ad34a25\/Udemy_Azure_Databricks_and_Spark_SQL_Python_2025-10_Downloadly.ir.part2.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 2 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/6b4f0551948ef9d0bc5a826b388b9f36\/Udemy_Azure_Databricks_and_Spark_SQL_Python_2025-10_Downloadly.ir.part3.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 3 \u2013 2 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/6b877b31826ecd674a148d67367e465a\/Udemy_Azure_Databricks_and_Spark_SQL_Python_2025-10_Downloadly.ir.part4.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 4 \u2013 640 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>6.62 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Azure Databricks and Spark SQL (Python), Databricks is recognised as a leader in the Gartner Magic Quadrant for Data &amp; AI platforms and has bec<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[110022,110023,110024,110025,110026,110027,110028,50281,110029],"class_list":["post-13441","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-azure-databricks-and-spark-sql-python","dgi_tag-azure-databricks-and-spark-sql-python-download","dgi_tag-azure-databricks-and-spark-sql-python-free","dgi_tag-azure-databricks-and-spark-sql-python-free-download","dgi_tag-download-azure-databricks-and-spark-sql-python","dgi_tag-free-azure-databricks-and-spark-sql-python","dgi_tag-free-download-azure-databricks-and-spark-sql-python","dgi_tag-malvik-vaghadia","dgi_tag-udemy-azure-databricks-and-spark-sql-python"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/13441","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/13441\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=13441"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=13441"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=13441"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}