Updated intro message (#75)

* Updated intro message

* Updated readme

Author: edurdevic

README.md

@@ -21,9 +21,9 @@ Operations are applied concurrently across multiple tables
   * [GDPR right of erasure: delete user data from all tables at once](docs/GDPR_RoE.md)
   * [Search in any column](docs/Search.md)
 * **Semantic classification**
-  * [Semantic classification of columns by semantic type](docs/Semantic_classification.md): email, phone number, IP address, etc.
-  * [Select data based on semantic types](docs/Select_by_class.md)
-  * [Delete data based on semantic types](docs/Delete_by_class.md)
+  * [Semantic classification of columns by semantic class](docs/Semantic_classification.md): email, phone number, IP address, etc.
+  * [Select data based on semantic classes](docs/Select_by_class.md)
+  * [Delete data based on semantic classes](docs/Delete_by_class.md)
 * **Custom**
   * [Arbitrary SQL template execution across multiple tables](docs/Arbitrary_multi-table_SQL.md)
 

discoverx/dx.py

@@ -61,10 +61,18 @@ def intro(self):
         <h1>Hi there, I'm DiscoverX.</h1>
 
         <p>
-          I'm here to help you discover data in your lakehouse.<br />
-          You can scan your lakehouse by using
+          I'm here to help you paralelize multi-table operations across your lakehouse.<br />
+          You can start by defining the set of tables to run operations on (use "*" as a wildcard)<br />
+        </p>
+        <pre><code>dx.from_tables("*.*.*")</code></pre>
+        <p>
+            Then you can apply the following operations
+            <ul>
+                <li><code>.apply_sql(...)</code> - Runs a SQL template on each table</li>
+                <li><code>.scan(...)</code> - Scan your lakehouse for columns matching the given rules</li>
+                <li><code>.search(...)</code> - Search your lakehouse for columns matching the given search term</li>
+            </ul>
         </p>
-        <pre><code>dx.scan(from_tables="*.*.*")</code></pre>
         <p>
           For more detailed instructions, check out the <a href="https://github.com/databrickslabs/discoverx">readme</a> or use
         </p>