Merge pull request #53304 from staleycyn/patch-2

Update predictive maintenance description in documentation

Author: prmerger-automator[bot]

learn-pr/wwl-azure/design-data-integration/includes/7-design-azure-stream-analytics-solution-for-data-analysis.md

@@ -36,7 +36,7 @@ Azure Stream Analytics is an ideal solution for other common enterprise data req
 | *Analyze real-time telemetry streams from IoT devices*.      | Gather real-time sensor data in Azure Stream Analytics by building automation systems that relay temperature, humidity, fan runtimes. You can make adjustments to maintain optimum building temperature and reduce costs. |
 | *Build web logs and clickstream analytics*.                  | A consumer goods retailer can offer real-time product suggestions to users based on e-commerce analytics. |
 | *Create geospatial analytics*.                               | Prepare analytics for geospatial data sources like sensors, social media, satellite imagery, and mobile devices. You can predict extreme weather events like wildfires and hurricanes to help airlines with routing. You can send out mobile alerts to customers for adverse weather conditions based on their geolocation. |
-| *Execute remote monitoring and predictive maintenance of high value assets*. | Monitor high value assets such as Industrial equipment by gathering operational data in Azure Stream Analytics. You can maximize the useful life of your equipment through predictive maintenance. Data gathered from electrical power transformers is utility companies to avoid disruption of operation. |
+| *Execute remote monitoring and predictive maintenance of high value assets*. | Monitor high value assets such as Industrial equipment by gathering operational data in Azure Stream Analytics. You can maximize the useful life of your equipment through predictive maintenance. |
 | *Perform real-time analytics on point of sale data*.         | Detect fraudulent credit card transactions, and identify suspicious activity at point of sale. You can spot unusually large transactions or unusual location activity based on the credit card holder's contact information. Alert triggers can be set up on data gathered in Azure Stream Analytics. |
 
 In the Tailwind Traders scenario, we can apply Azure Stream Analytics to visualize real-time locations of the trucks through Power BI. For management decisions on analytical workloads, data can be stored in a data warehouse like Azure Cosmos DB or Azure Data Lake for future analysis.
@@ -49,4 +49,4 @@ Azure Stream Analytics can be a valuable component in your data integration plan
 - **Consider costs**. Stream Analytics is low cost. Billing is done by Streaming Units (SUs) consumed that represents the amount of CPU and memory resources allocated. Scaling up and down are based on business needs, which can also lower costs. No maintenance charges are involved.
 - **Consider implementation**. You can run Azure Stream Analytics in the cloud for large-scale analytics. For ultra-low latency analytics, run Stream Analytics on IoT Edge or Azure Stack.
 - **Consider performance**. Stream Analytics offers reliable performance guarantees. It supports higher performance by partitioning, which allows complex queries to be parallelized and executed on multiple streaming nodes. Stream Analytics can process millions of events every second. It can deliver results with ultra-low latencies.
-- **Consider security**. Stream Analytics encrypts all incoming and outgoing communications and supports TLS 1.2. Built-in checkpoints are also encrypted. Stream Analytics doesn't store the incoming data because all processing is done in-memory.
+- **Consider security**. Stream Analytics encrypts all incoming and outgoing communications and supports TLS 1.2. Built-in checkpoints are also encrypted. Stream Analytics doesn't store the incoming data because all processing is done in-memory.