topic Re: Databricks Scenarios in Get Started Discussions https://community.databricks.com/t5/get-started-discussions/databricks-scenarios/m-p/140369#M11070 <P>Can someone Help me with this&nbsp;</P> Wed, 26 Nov 2025 06:52:21 GMT Ritesh-Dhumne 2025-11-26T06:52:21Z Databricks Scenarios https://community.databricks.com/t5/get-started-discussions/databricks-scenarios/m-p/140365#M11068 <P>I’m a data engineer with some experience in Databricks. I’m looking for real-life scenarios that are commonly encountered by data engineers. Could you also provide details on how to implement these scenarios?</P> Wed, 26 Nov 2025 05:51:55 GMT https://community.databricks.com/t5/get-started-discussions/databricks-scenarios/m-p/140365#M11068 Ritesh-Dhumne 2025-11-26T05:51:55Z Re: Databricks Scenarios https://community.databricks.com/t5/get-started-discussions/databricks-scenarios/m-p/140369#M11070 <P>Can someone Help me with this&nbsp;</P> Wed, 26 Nov 2025 06:52:21 GMT https://community.databricks.com/t5/get-started-discussions/databricks-scenarios/m-p/140369#M11070 Ritesh-Dhumne 2025-11-26T06:52:21Z Re: Databricks Scenarios https://community.databricks.com/t5/get-started-discussions/databricks-scenarios/m-p/140373#M11071 <P>This is a very generic question with an even broader response. However, think of scenarios in which the most common architecture called <STRONG>Medallion Architecture</STRONG>&nbsp;can be applied along with very high volume of data:</P><P><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Coffee77_1-1764141503227.png" style="width: 400px;"><img src="https://community.databricks.com/t5/image/serverpage/image-id/21956iDD849C2CC3712BA2/image-size/medium?v=v2&amp;px=400" role="button" title="Coffee77_1-1764141503227.png" alt="Coffee77_1-1764141503227.png" /></span></P><P><A href="https://learn.microsoft.com/en-us/azure/databricks/lakehouse/medallion" target="_blank" rel="noopener">https://learn.microsoft.com/en-us/azure/databricks/lakehouse/medallion</A>&nbsp;</P><P><A href="https://www.databricks.com/glossary/medallion-architecture" target="_blank" rel="noopener">https://www.databricks.com/glossary/medallion-architecture</A>&nbsp;</P><P>Based on the above, some real-life scenarios:</P><H1><STRONG>1. Building a 360° Customer View</STRONG></H1><H3><STRONG>Business problem</STRONG></H3><P>Customer data lives in multiple systems:</P><UL><LI><P>CRM (Salesforce)</P></LI><LI><P>Support tickets (Zendesk)</P></LI><LI><P>Marketing tools</P></LI><LI><P>Website logs</P></LI><LI><P>In-store POS</P></LI></UL><P>Leaders want <STRONG>one unified view of the customer</STRONG>:</P><UL><LI><P>Lifetime value</P></LI><LI><P>Churn risk</P></LI><LI><P>Purchase history</P></LI><LI><P>Behavior patterns</P></LI></UL><H3><STRONG>Data Engineering role</STRONG></H3><P>Integrate, clean, and merge sources → maintain a golden customer table used by analytics, marketing, and ML</P><P>&nbsp;</P><H1><STRONG>2. Real-Time Operational Dashboards</STRONG></H1><H3><STRONG>Business problem</STRONG></H3><P>Managers need <STRONG>up-to-the-minute</STRONG> insights:</P><UL><LI><P>Orders per minute</P></LI><LI><P>Fraud alerts</P></LI><LI><P>Inventory levels</P></LI><LI><P>Shipments in transit</P></LI></UL><H3><STRONG>Data Engineering role</STRONG></H3><P>Build streaming pipelines that feed dashboards with <STRONG>low latency</STRONG>, powering decisions like:</P><UL><LI><P>Detecting issues earlier</P></LI><LI><P>Balancing supply/demand faster</P></LI><LI><P>Notifying teams when KPIs drop</P></LI></UL><H1>&nbsp;</H1><H1><STRONG>3. Supply Chain Optimization</STRONG></H1><H3><STRONG>Business problem</STRONG></H3><P>Logistics teams want to:</P><UL><LI><P>Predict stock shortages</P></LI><LI><P>Optimize delivery routes</P></LI><LI><P>Reduce warehouse costs</P></LI><LI><P>Track shipments in real time</P></LI></UL><H3><STRONG>Data Engineering role</STRONG></H3><P>Integrate:</P><UL><LI><P>Vendor data</P></LI><LI><P>Warehouse systems</P></LI><LI><P>IoT sensors</P></LI><LI><P>Transportation APIs</P></LI></UL><P>Deliver actionable datasets to planning/ML teams.</P><H1>&nbsp;</H1><H1><STRONG>4. Executive Decision Dashboards</STRONG></H1><H3><STRONG>Business problem</STRONG></H3><P>C-level wants:</P><UL><LI><P>One version of truth</P></LI><LI><P>KPIs updated daily</P></LI><LI><P>A curated layer of governed metrics</P></LI></UL><H3><STRONG>Data Engineering role</STRONG></H3><P>Provide a <STRONG>semantic layer</STRONG>:</P><UL><LI><P>Sales</P></LI><LI><P>Revenue</P></LI><LI><P>Retention</P></LI><LI><P>Operational KPIs</P></LI><LI><P>Forecasts</P></LI></UL><P>Ensure dashboards don’t break and metrics are consistent across the company.&nbsp;<SPAN>models.</SPAN></P><H1>&nbsp;</H1><H1><STRONG>5. Predictive Maintenance (IoT)</STRONG></H1><H3><STRONG>Business problem</STRONG></H3><P>Manufacturers need to avoid:</P><UL><LI><P>Machine failures</P></LI><LI><P>Unexpected downtime</P></LI><LI><P>Costly repairs</P></LI></UL><H3><STRONG>Data Engineering role</STRONG></H3><P>Ingest IoT sensor data:</P><UL><LI><P>Temperature</P></LI><LI><P>Vibration</P></LI><LI><P>Pressure</P></LI><LI><P>Usage cycles</P></LI></UL><P>Provide structured data for ML models that predict failures.</P> Wed, 26 Nov 2025 07:25:25 GMT https://community.databricks.com/t5/get-started-discussions/databricks-scenarios/m-p/140373#M11071 Coffee77 2025-11-26T07:25:25Z Re: Databricks Scenarios https://community.databricks.com/t5/get-started-discussions/databricks-scenarios/m-p/140380#M11072 <P>Generic topic. Here are few latest article to help you on this</P><P><A href="https://community.databricks.com/t5/get-started-guides/getting-started-with-databricks-build-a-simple-lakehouse/tac-p/139492#M29" target="_blank">https://community.databricks.com/t5/get-started-guides/getting-started-with-databricks-build-a-simple-lakehouse/tac-p/139492#M29</A></P><P><A href="https://community.databricks.com/t5/announcements/big-book-of-data-engineering-get-how-tos-code-snippets-and-real/m-p/139790#M442" target="_blank">https://community.databricks.com/t5/announcements/big-book-of-data-engineering-get-how-tos-code-snippets-and-real/m-p/139790#M442</A></P><P>&nbsp;</P> Wed, 26 Nov 2025 08:34:24 GMT https://community.databricks.com/t5/get-started-discussions/databricks-scenarios/m-p/140380#M11072 Raman_Unifeye 2025-11-26T08:34:24Z