Merge pull request #2292 from canonical/WD-33919-update-copy-on-data-page

chore: Update copy on /data

Author: steverydz

templates/data/index.html

@@ -133,7 +133,7 @@ <h1>Enterprise-grade solutions<br>for your mission critical data</h1>
         <h2>Security, support, and automation across clouds</h2>
       </div>
       <div class="col-6">
-        <p>Receive support, deploy, and automate the lifecycle management of your data application across public clouds, Kubernetes, virtual (VM) and bare metal machines.</p>
+        <p>Receive support, deploy, and automate the lifecycle management of your open source databases and big data applications across public clouds, Kubernetes, virtual (VM), and bare metal machines.</p>
         <div class="u-fixed-width">
           <div class="p-logo-section">
               <div class="p-logo-section__items">
@@ -289,7 +289,7 @@ <h2>Multiple packaging formats to meet your environment needs</h2>
       </div>
       <div class="col-6">
         <div class="p-section--shallow">
-          <p>We provide our open source data products in various packaging formats, allowing them to integrate seamlessly with your current automation systems or serve as the foundation for a new one.</p>
+          <p>We provide our open source databases and big data applications in various packaging formats, enabling you to seamlessly integrate them with your current automation systems or use them as the foundation for a new one.</p>
         </div>
         <div>
         <div class="p-tabs">
@@ -340,7 +340,7 @@ <h2>Multiple packaging formats to meet your environment needs</h2>
         "description_html": "<p>Handle petabytes of unstructured data for AI/ML preparation. Integrations with Apache Spark and Kubeflow support model training on raw logs or sensor data.</p>"
       },
       {
-        "title_text": "Streaming and real-Time Analytics",
+        "title_text": "Streaming and Real-Time Analytics",
         "description_html": "<p>Perform low-latency streaming analytics using Apache kafka for event ingestion, integrated with PostgreSQL, OpenSearch, and spark on Ubuntu for real-time processing across clouds.</p>"
       }
     ]