GEODE-8804: Partitioned region description doc improvement (#5877)
Co-authored-by: Karen Miller <millerka@vmware.com>
diff --git a/geode-docs/developing/region_options/region_types.html.md.erb b/geode-docs/developing/region_options/region_types.html.md.erb
index 8117f0e..341c2dc 100644
--- a/geode-docs/developing/region_options/region_types.html.md.erb
+++ b/geode-docs/developing/region_options/region_types.html.md.erb
@@ -103,7 +103,7 @@
Use partitioning for:
- **Large data sets**. Store data sets that are too large to fit into a single member, and all members will see the same logical data set. Partitioned regions divide the data into units of storage called buckets that are split across the members hosting the partitioned region data, so no member needs to host all of the region’s data. <%=vars.product_name%> provides dynamic redundancy recovery and rebalancing of partitioned regions, making them the choice for large-scale data containers. More members in the system can accommodate more uniform balancing of the data across all host members, allowing system throughput (both gets and puts) to scale as new members are added.
-- **High availability**. Partitioned regions allow you configure the number of copies of your data that <%=vars.product_name%> should make. If a member fails, your data will be available without interruption from the remaining members. Partitioned regions can also be persisted to disk for additional high availability.
+- **High availability**. Partitioned regions allow you configure the number of redundant copies of your data that <%=vars.product_name%> should make. If a member fails, your data will be available without interruption from the remaining members that host a redundant copy of the data. No data loss occurs as long as the number of server failures does not exceed the number of redundant copies. Partitioned regions can also be persisted to disk for additional high availability.
- **Scalability**. Partitioned regions can scale to large amounts of data because the data is divided between the members available to host the region. Increase your data capacity dynamically by simply adding new members. Partitioned regions also allow you to scale your processing capacity. Because your entries are spread out across the members hosting the region, reads and writes to those entries are also spread out across those members.
- **Good write performance**. You can configure the number of copies of your data. The amount of data transmitted per write does not increase with the number of members. By contrast, with replicated regions, each write must be sent to every member that has the region replicated, so the amount of data transmitted per write increases with the number of members.
