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    <title>topic Learn Databricks Lakeflow | Ingest, Orchestrate, and Build pipelines on one platform. in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/learn-databricks-lakeflow-ingest-orchestrate-and-build-pipelines/m-p/168071#M1048</link>
    <description>&lt;DIV style="width: 100%; margin: 0 auto; font-family: Arial,Helvetica,sans-serif; color: #730d21;"&gt;
&lt;DIV style="background-color: #730d21; padding: 32px 34px 30px 34px; border-radius: 14px 14px 0 0; overflow: hidden;"&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-left" image-alt="DAT_Stacked_Lock_up_Full_Color_White@2x.png" style="width: 104px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29975iB27742B0C457B7AC/image-size/medium?v=v2&amp;amp;px=400" width="104" role="button" title="DAT_Stacked_Lock_up_Full_Color_White@2x.png" alt="DAT_Stacked_Lock_up_Full_Color_White@2x.png" /&gt;&lt;/span&gt;
&lt;DIV style="color: #dba7af; font-size: 13px; font-weight: bold; letter-spacing: 2px; text-transform: uppercase;"&gt;Databricks Training &amp;amp; Certifications&lt;/DIV&gt;
&lt;DIV style="color: #ffffff; font-size: 26px; font-weight: 800; line-height: 1.25; margin-top: 4px;"&gt;Learn Databricks Lakeflow&amp;nbsp;&lt;/DIV&gt;
&lt;DIV style="color: #ecd2d6; font-size: 14px; margin-top: 6px;"&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Unified data engineering: ingest, orchestrate, and build pipelines on one platform.&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="background-color: #eeede9; padding: 24px 34px 28px 34px;"&gt;
&lt;DIV style="text-align: center; margin-bottom: 22px;"&gt;&lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 13px; font-weight: 800; padding: 8px 16px; border-radius: 24px; text-decoration: none; margin: 0 5px 8px 0;" target="_blank"&gt;&lt;span class="lia-unicode-emoji" title=":electric_plug:"&gt;🔌&lt;/span&gt; Ingest&lt;/A&gt; &lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 13px; font-weight: 800; padding: 8px 16px; border-radius: 24px; text-decoration: none; margin: 0 5px 8px 0;" target="_blank"&gt;&lt;span class="lia-unicode-emoji" title=":gear:"&gt;⚙️&lt;/span&gt; Orchestrate&lt;/A&gt; &lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 13px; font-weight: 800; padding: 8px 16px; border-radius: 24px; text-decoration: none; margin: 0 5px 8px 0;" target="_blank"&gt;&lt;span class="lia-unicode-emoji" title=":artist_palette:"&gt;🎨&lt;/span&gt; No-code ETL&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="font-size: 17px; line-height: 1.6; color: #730d21;"&gt;Data engineering on Databricks comes together under &lt;STRONG&gt;Lakeflow&lt;/STRONG&gt;. Bring data in from almost anywhere with Lakeflow Connect, turn workloads into reliable production jobs with Lakeflow Jobs, and build ETL pipelines visually with Lakeflow Designer, all on the Databricks Data Intelligence Platform.&lt;/DIV&gt;
&lt;DIV style="font-size: 17px; line-height: 1.6; color: #730d21; margin-top: 14px;"&gt;The catalog covers &lt;STRONG&gt;three Lakeflow courses&lt;/STRONG&gt; on the Data Engineer track, two of them with a free self-paced option. Follow the flow below. &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_down:"&gt;👇&lt;/span&gt;&lt;/DIV&gt;
&lt;DIV style="margin: 30px 0 14px 0;"&gt;&lt;A style="display: inline-block; width: 34px; height: 34px; line-height: 34px; text-align: center; background-color: #b3324a; color: #ffffff; font-size: 16px; font-weight: 800; border-radius: 50%; text-decoration: none; vertical-align: middle; margin-right: 12px;" target="_blank"&gt;1&lt;/A&gt; &lt;SPAN&gt;Ingest the data&lt;/SPAN&gt; &lt;SPAN&gt;· Lakeflow Connect&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;DIV style="background-color: #ffffff; border-left: 5px solid #b3324a; border-radius: 0 12px 12px 0; padding: 20px 22px; margin-bottom: 6px;"&gt;&lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 12px; font-weight: 800; padding: 4px 12px; border-radius: 20px; text-decoration: none;" target="_blank"&gt;Data Engineer · Associate&lt;/A&gt;
&lt;DIV style="font-size: 18px; font-weight: 800; color: #730d21; line-height: 1.3; margin-top: 10px;"&gt;Data Ingestion with Lakeflow Connect&lt;/DIV&gt;
&lt;DIV style="font-size: 14px; line-height: 1.55; color: #6b4a4f; margin-top: 8px;"&gt;A comprehensive introduction to Lakeflow Connect for ingesting data into Databricks at scale. Work with Standard and Managed connectors and with batch, incremental batch, and streaming ingestion. Load from cloud object storage using CTAS, COPY INTO, and Auto Loader, handle mismatched records with the rescued data column, flatten semi-structured JSON, and bring in data from databases and SaaS apps. Rounds out with Partner Connect, MERGE INTO, and the Databricks Marketplace, all on UC tables and the medallion architecture.&lt;/DIV&gt;
&lt;DIV style="margin-top: 14px;"&gt;&lt;A style="display: inline-block; background-color: #b3324a; color: #ffffff; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/data-ingestion-with-lakeflow-connect-2963?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=data-ingestion-with-lakeflow-connect-2963" target="_self"&gt;Free · Self-paced · 2H →&lt;/A&gt; &lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/data-ingestion-with-lakeflow-connect-2968?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=data-ingestion-with-lakeflow-connect-2968" target="_blank"&gt;Paid / Subscription · Lab · 3H →&lt;/A&gt; &lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/data-ingestion-with-lakeflow-connect-1808?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=data-ingestion-with-lakeflow-connect-1808" target="_blank"&gt;Paid · Instructor-led · 4H →&lt;/A&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="margin: 30px 0 14px 0;"&gt;&lt;A style="display: inline-block; width: 34px; height: 34px; line-height: 34px; text-align: center; background-color: #b3324a; color: #ffffff; font-size: 16px; font-weight: 800; border-radius: 50%; text-decoration: none; vertical-align: middle; margin-right: 12px;" target="_blank"&gt;2&lt;/A&gt; &lt;SPAN&gt;Orchestrate the workload&lt;/SPAN&gt; &lt;SPAN&gt;· Lakeflow Jobs&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;DIV style="background-color: #ffffff; border-left: 5px solid #b3324a; border-radius: 0 12px 12px 0; padding: 20px 22px; margin-bottom: 6px;"&gt;&lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 12px; font-weight: 800; padding: 4px 12px; border-radius: 20px; text-decoration: none;" target="_blank"&gt;Data Engineer · Associate&lt;/A&gt;
&lt;DIV style="font-size: 18px; font-weight: 800; color: #730d21; line-height: 1.3; margin-top: 10px;"&gt;Deploy Workloads with Lakeflow Jobs&lt;/DIV&gt;
&lt;DIV style="font-size: 14px; line-height: 1.55; color: #6b4a4f; margin-top: 8px;"&gt;Orchestrate and automate data, analytics, and AI workflows with Lakeflow Jobs as a unified orchestration platform. Design workloads as Directed Acyclic Graphs (DAGs), configure scheduling, and use advanced features such as conditional task execution, run-if dependencies, and for-each loops. Covers best practices for production-ready pipelines: compute selection, modular orchestration, error handling, and fault-tolerant design.&lt;/DIV&gt;
&lt;DIV style="margin-top: 14px;"&gt;&lt;A style="display: inline-block; background-color: #b3324a; color: #ffffff; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/deploy-workloads-with-lakeflow-jobs-1365?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=deploy-workloads-with-lakeflow-jobs-1365" target="_blank"&gt;Free · Self-paced · 2H →&lt;/A&gt; &lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/deploy-workloads-with-lakeflow-jobs-2978?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=deploy-workloads-with-lakeflow-jobs-2978" target="_blank"&gt;Paid / Subscription · Lab · 3H →&lt;/A&gt; &lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/deploy-workloads-with-lakeflow-jobs-1684?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=deploy-workloads-with-lakeflow-jobs-1684" target="_blank"&gt;Paid · Instructor-led · 4H →&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="font-size: 12px; color: #8a6a6f; margin-top: 4px;"&gt;Instructor-led available in English, 日本語, Português BR, 한국어, Español, and française.&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="margin: 30px 0 8px 0;"&gt;&lt;A style="display: inline-block; width: 34px; height: 34px; line-height: 34px; text-align: center; background-color: #b3324a; color: #ffffff; font-size: 16px; font-weight: 800; border-radius: 50%; text-decoration: none; vertical-align: middle; margin-right: 12px;" target="_blank"&gt;3&lt;/A&gt; &lt;SPAN&gt;Build it without code&lt;/SPAN&gt; &lt;SPAN&gt;· Lakeflow Designer&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;DIV style="font-size: 15px; line-height: 1.6; color: #6b4a4f; margin-bottom: 16px;"&gt;Go further: build a full medallion pipeline on a visual canvas, with an AI assistant writing the transformations for you. Paid / subscription lab.&lt;/DIV&gt;
&lt;DIV style="background-color: #ffffff; border-left: 5px solid #b3324a; border-radius: 0 12px 12px 0; padding: 20px 22px; margin-bottom: 6px;"&gt;&lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 12px; font-weight: 800; padding: 4px 12px; border-radius: 20px; text-decoration: none;" target="_blank"&gt;Data Engineer · Professional&lt;/A&gt;
&lt;DIV style="font-size: 18px; font-weight: 800; color: #730d21; line-height: 1.3; margin-top: 10px;"&gt;No-Code ETL with Lakeflow Designer&lt;/DIV&gt;
&lt;DIV style="font-size: 14px; line-height: 1.55; color: #6b4a4f; margin-top: 8px;"&gt;Build a complete medallion ETL workflow, bronze to silver to gold, visually and without writing pipeline code. Assemble pipelines on a visual canvas using operators, and use the built-in AI authoring assistant, Genie Code, to generate operators from natural language. Clean and reshape data into silver, aggregate and join into gold, schedule the workflow, then deliver insights through an AI/BI dashboard, a Genie Space, and Genie One. An optional bonus uses the AI Function operator to derive sentiment from free-form feedback.&lt;/DIV&gt;
&lt;DIV style="margin-top: 14px;"&gt;&lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/no-code-etl-with-lakeflow-designer-5642?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=no-code-etl-with-lakeflow-designer-5642" target="_blank"&gt;Paid / Subscription · Lab · 2H →&lt;/A&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="text-align: center; margin-top: 24px;"&gt;&lt;A style="display: inline-block; background-color: #b3324a; color: #ffffff; font-size: 15px; font-weight: 800; text-decoration: none; padding: 14px 30px; border-radius: 8px;" href="https://www.databricks.com/training/catalog?search=lakeflow" target="_blank"&gt;Browse all Lakeflow courses in the catalog →&lt;/A&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="background-color: #730d21; padding: 22px 34px; border-radius: 0 0 14px 14px; text-align: center;"&gt;
&lt;DIV style="color: #ecd2d6; font-size: 13px; line-height: 1.6;"&gt;Ingest. Orchestrate. Build. One data engineering experience on the Databricks Data Intelligence Platform.&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;</description>
    <pubDate>Wed, 09 Sep 2026 10:00:13 GMT</pubDate>
    <dc:creator>Tushar_Parekar</dc:creator>
    <dc:date>2026-09-09T10:00:13Z</dc:date>
    <item>
      <title>Learn Databricks Lakeflow | Ingest, Orchestrate, and Build pipelines on one platform.</title>
      <link>https://community.databricks.com/t5/announcements/learn-databricks-lakeflow-ingest-orchestrate-and-build-pipelines/m-p/168071#M1048</link>
      <description>&lt;DIV style="width: 100%; margin: 0 auto; font-family: Arial,Helvetica,sans-serif; color: #730d21;"&gt;
&lt;DIV style="background-color: #730d21; padding: 32px 34px 30px 34px; border-radius: 14px 14px 0 0; overflow: hidden;"&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-left" image-alt="DAT_Stacked_Lock_up_Full_Color_White@2x.png" style="width: 104px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/29975iB27742B0C457B7AC/image-size/medium?v=v2&amp;amp;px=400" width="104" role="button" title="DAT_Stacked_Lock_up_Full_Color_White@2x.png" alt="DAT_Stacked_Lock_up_Full_Color_White@2x.png" /&gt;&lt;/span&gt;
&lt;DIV style="color: #dba7af; font-size: 13px; font-weight: bold; letter-spacing: 2px; text-transform: uppercase;"&gt;Databricks Training &amp;amp; Certifications&lt;/DIV&gt;
&lt;DIV style="color: #ffffff; font-size: 26px; font-weight: 800; line-height: 1.25; margin-top: 4px;"&gt;Learn Databricks Lakeflow&amp;nbsp;&lt;/DIV&gt;
&lt;DIV style="color: #ecd2d6; font-size: 14px; margin-top: 6px;"&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Unified data engineering: ingest, orchestrate, and build pipelines on one platform.&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="background-color: #eeede9; padding: 24px 34px 28px 34px;"&gt;
&lt;DIV style="text-align: center; margin-bottom: 22px;"&gt;&lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 13px; font-weight: 800; padding: 8px 16px; border-radius: 24px; text-decoration: none; margin: 0 5px 8px 0;" target="_blank"&gt;&lt;span class="lia-unicode-emoji" title=":electric_plug:"&gt;🔌&lt;/span&gt; Ingest&lt;/A&gt; &lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 13px; font-weight: 800; padding: 8px 16px; border-radius: 24px; text-decoration: none; margin: 0 5px 8px 0;" target="_blank"&gt;&lt;span class="lia-unicode-emoji" title=":gear:"&gt;⚙️&lt;/span&gt; Orchestrate&lt;/A&gt; &lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 13px; font-weight: 800; padding: 8px 16px; border-radius: 24px; text-decoration: none; margin: 0 5px 8px 0;" target="_blank"&gt;&lt;span class="lia-unicode-emoji" title=":artist_palette:"&gt;🎨&lt;/span&gt; No-code ETL&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="font-size: 17px; line-height: 1.6; color: #730d21;"&gt;Data engineering on Databricks comes together under &lt;STRONG&gt;Lakeflow&lt;/STRONG&gt;. Bring data in from almost anywhere with Lakeflow Connect, turn workloads into reliable production jobs with Lakeflow Jobs, and build ETL pipelines visually with Lakeflow Designer, all on the Databricks Data Intelligence Platform.&lt;/DIV&gt;
&lt;DIV style="font-size: 17px; line-height: 1.6; color: #730d21; margin-top: 14px;"&gt;The catalog covers &lt;STRONG&gt;three Lakeflow courses&lt;/STRONG&gt; on the Data Engineer track, two of them with a free self-paced option. Follow the flow below. &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_down:"&gt;👇&lt;/span&gt;&lt;/DIV&gt;
&lt;DIV style="margin: 30px 0 14px 0;"&gt;&lt;A style="display: inline-block; width: 34px; height: 34px; line-height: 34px; text-align: center; background-color: #b3324a; color: #ffffff; font-size: 16px; font-weight: 800; border-radius: 50%; text-decoration: none; vertical-align: middle; margin-right: 12px;" target="_blank"&gt;1&lt;/A&gt; &lt;SPAN&gt;Ingest the data&lt;/SPAN&gt; &lt;SPAN&gt;· Lakeflow Connect&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;DIV style="background-color: #ffffff; border-left: 5px solid #b3324a; border-radius: 0 12px 12px 0; padding: 20px 22px; margin-bottom: 6px;"&gt;&lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 12px; font-weight: 800; padding: 4px 12px; border-radius: 20px; text-decoration: none;" target="_blank"&gt;Data Engineer · Associate&lt;/A&gt;
&lt;DIV style="font-size: 18px; font-weight: 800; color: #730d21; line-height: 1.3; margin-top: 10px;"&gt;Data Ingestion with Lakeflow Connect&lt;/DIV&gt;
&lt;DIV style="font-size: 14px; line-height: 1.55; color: #6b4a4f; margin-top: 8px;"&gt;A comprehensive introduction to Lakeflow Connect for ingesting data into Databricks at scale. Work with Standard and Managed connectors and with batch, incremental batch, and streaming ingestion. Load from cloud object storage using CTAS, COPY INTO, and Auto Loader, handle mismatched records with the rescued data column, flatten semi-structured JSON, and bring in data from databases and SaaS apps. Rounds out with Partner Connect, MERGE INTO, and the Databricks Marketplace, all on UC tables and the medallion architecture.&lt;/DIV&gt;
&lt;DIV style="margin-top: 14px;"&gt;&lt;A style="display: inline-block; background-color: #b3324a; color: #ffffff; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/data-ingestion-with-lakeflow-connect-2963?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=data-ingestion-with-lakeflow-connect-2963" target="_self"&gt;Free · Self-paced · 2H →&lt;/A&gt; &lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/data-ingestion-with-lakeflow-connect-2968?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=data-ingestion-with-lakeflow-connect-2968" target="_blank"&gt;Paid / Subscription · Lab · 3H →&lt;/A&gt; &lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/data-ingestion-with-lakeflow-connect-1808?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=data-ingestion-with-lakeflow-connect-1808" target="_blank"&gt;Paid · Instructor-led · 4H →&lt;/A&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="margin: 30px 0 14px 0;"&gt;&lt;A style="display: inline-block; width: 34px; height: 34px; line-height: 34px; text-align: center; background-color: #b3324a; color: #ffffff; font-size: 16px; font-weight: 800; border-radius: 50%; text-decoration: none; vertical-align: middle; margin-right: 12px;" target="_blank"&gt;2&lt;/A&gt; &lt;SPAN&gt;Orchestrate the workload&lt;/SPAN&gt; &lt;SPAN&gt;· Lakeflow Jobs&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;DIV style="background-color: #ffffff; border-left: 5px solid #b3324a; border-radius: 0 12px 12px 0; padding: 20px 22px; margin-bottom: 6px;"&gt;&lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 12px; font-weight: 800; padding: 4px 12px; border-radius: 20px; text-decoration: none;" target="_blank"&gt;Data Engineer · Associate&lt;/A&gt;
&lt;DIV style="font-size: 18px; font-weight: 800; color: #730d21; line-height: 1.3; margin-top: 10px;"&gt;Deploy Workloads with Lakeflow Jobs&lt;/DIV&gt;
&lt;DIV style="font-size: 14px; line-height: 1.55; color: #6b4a4f; margin-top: 8px;"&gt;Orchestrate and automate data, analytics, and AI workflows with Lakeflow Jobs as a unified orchestration platform. Design workloads as Directed Acyclic Graphs (DAGs), configure scheduling, and use advanced features such as conditional task execution, run-if dependencies, and for-each loops. Covers best practices for production-ready pipelines: compute selection, modular orchestration, error handling, and fault-tolerant design.&lt;/DIV&gt;
&lt;DIV style="margin-top: 14px;"&gt;&lt;A style="display: inline-block; background-color: #b3324a; color: #ffffff; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/deploy-workloads-with-lakeflow-jobs-1365?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=deploy-workloads-with-lakeflow-jobs-1365" target="_blank"&gt;Free · Self-paced · 2H →&lt;/A&gt; &lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/deploy-workloads-with-lakeflow-jobs-2978?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=deploy-workloads-with-lakeflow-jobs-2978" target="_blank"&gt;Paid / Subscription · Lab · 3H →&lt;/A&gt; &lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/deploy-workloads-with-lakeflow-jobs-1684?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=deploy-workloads-with-lakeflow-jobs-1684" target="_blank"&gt;Paid · Instructor-led · 4H →&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="font-size: 12px; color: #8a6a6f; margin-top: 4px;"&gt;Instructor-led available in English, 日本語, Português BR, 한국어, Español, and française.&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="margin: 30px 0 8px 0;"&gt;&lt;A style="display: inline-block; width: 34px; height: 34px; line-height: 34px; text-align: center; background-color: #b3324a; color: #ffffff; font-size: 16px; font-weight: 800; border-radius: 50%; text-decoration: none; vertical-align: middle; margin-right: 12px;" target="_blank"&gt;3&lt;/A&gt; &lt;SPAN&gt;Build it without code&lt;/SPAN&gt; &lt;SPAN&gt;· Lakeflow Designer&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;DIV style="font-size: 15px; line-height: 1.6; color: #6b4a4f; margin-bottom: 16px;"&gt;Go further: build a full medallion pipeline on a visual canvas, with an AI assistant writing the transformations for you. Paid / subscription lab.&lt;/DIV&gt;
&lt;DIV style="background-color: #ffffff; border-left: 5px solid #b3324a; border-radius: 0 12px 12px 0; padding: 20px 22px; margin-bottom: 6px;"&gt;&lt;A style="display: inline-block; background-color: #e7d5d7; color: #730d21; font-size: 12px; font-weight: 800; padding: 4px 12px; border-radius: 20px; text-decoration: none;" target="_blank"&gt;Data Engineer · Professional&lt;/A&gt;
&lt;DIV style="font-size: 18px; font-weight: 800; color: #730d21; line-height: 1.3; margin-top: 10px;"&gt;No-Code ETL with Lakeflow Designer&lt;/DIV&gt;
&lt;DIV style="font-size: 14px; line-height: 1.55; color: #6b4a4f; margin-top: 8px;"&gt;Build a complete medallion ETL workflow, bronze to silver to gold, visually and without writing pipeline code. Assemble pipelines on a visual canvas using operators, and use the built-in AI authoring assistant, Genie Code, to generate operators from natural language. Clean and reshape data into silver, aggregate and join into gold, schedule the workflow, then deliver insights through an AI/BI dashboard, a Genie Space, and Genie One. An optional bonus uses the AI Function operator to derive sentiment from free-form feedback.&lt;/DIV&gt;
&lt;DIV style="margin-top: 14px;"&gt;&lt;A style="display: inline-block; background-color: #730d21; color: #eeede9; font-size: 13px; font-weight: 800; text-decoration: none; padding: 10px 18px; border-radius: 8px; margin: 0 8px 8px 0;" href="https://www.databricks.com/training/catalog/no-code-etl-with-lakeflow-designer-5642?itm_source=www&amp;amp;itm_category=training&amp;amp;itm_page=catalog&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=no-code-etl-with-lakeflow-designer-5642" target="_blank"&gt;Paid / Subscription · Lab · 2H →&lt;/A&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="text-align: center; margin-top: 24px;"&gt;&lt;A style="display: inline-block; background-color: #b3324a; color: #ffffff; font-size: 15px; font-weight: 800; text-decoration: none; padding: 14px 30px; border-radius: 8px;" href="https://www.databricks.com/training/catalog?search=lakeflow" target="_blank"&gt;Browse all Lakeflow courses in the catalog →&lt;/A&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV style="background-color: #730d21; padding: 22px 34px; border-radius: 0 0 14px 14px; text-align: center;"&gt;
&lt;DIV style="color: #ecd2d6; font-size: 13px; line-height: 1.6;"&gt;Ingest. Orchestrate. Build. One data engineering experience on the Databricks Data Intelligence Platform.&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;</description>
      <pubDate>Wed, 09 Sep 2026 10:00:13 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/learn-databricks-lakeflow-ingest-orchestrate-and-build-pipelines/m-p/168071#M1048</guid>
      <dc:creator>Tushar_Parekar</dc:creator>
      <dc:date>2026-09-09T10:00:13Z</dc:date>
    </item>
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