Update the active versions in README.md

Signed-off-by: Gavin Halliday <[email protected]>

Author: ghalliday

README.md

@@ -24,10 +24,6 @@ gantt
     axisFormat %Y-Q%q
     tickInterval 3month
     dateFormat YYYY-MM-DD
-    section v8.12.x
-        Active:          active, 2023-02-07, 5M
-        Critical:        3M
-        Security:        6M
     section v9.0.x
         Active:          active, 2023-04-03, 6M
         Critical:        3M
@@ -39,19 +35,21 @@ gantt
     section v9.4.x
         Active:          active, 2023-10-04, 9M
         Critical:        3M
-        Security:        3M
+        Security:        6M
     section v9.6.x
         Active:          active, 2024-04-04, 6M
         Critical:        3M
         Security:        3M
     section v9.8.x
-        Active:          active, 2024-07-02, 6M
+        Active:          active, 2024-07-02, 9M
         Critical:        3M
         Security:        3M
     section v9.10.x
-        Active:          active, 2024-10-01, 6M
+        Active:          active, 2025-01-01, 6M
         Critical:        3M
         Security:        3M
+    section v9.12.x
+        Expected:        active, 2025-04-01, 6M
 ```
 
 # Architecture
@@ -62,7 +60,7 @@ The HPCC Systems architecture incorporates the Thor and Roxie clusters as well a
 
 Thor (the Data Refinery Cluster) is responsible for consuming vast amounts of data, transforming, linking and indexing that data. It functions as a distributed file system with parallel processing power spread across the nodes. A cluster can scale from a single node to thousands of nodes.
 
-* Single-threaded
+* Single job at a time
 * Distributed parallel processing
 * Distributed file system
 * Powerful parallel processing programming language (ECL)
@@ -73,7 +71,7 @@ Thor (the Data Refinery Cluster) is responsible for consuming vast amounts of da
 
 Roxie (the Query Cluster) provides separate high-performance online query processing and data warehouse capabilities.  Roxie (Rapid Online XML Inquiry Engine) is the data delivery engine used in HPCC to serve data quickly and can support many thousands of requests per node per second. 
 
-* Multi-threaded
+* Multiple queries in parallel
 * Distributed parallel processing
 * Distributed file system
 * Powerful parallel processing programming language (ECL)