Updated Cloud Cache Benefits (markdown)

Cloud-Cache-Benefits.md

@@ -68,15 +68,18 @@ However, how to make SeaweedFS work with data already on cloud?
     * Users can also choose to never uncache, basically treating cloud copy as a backup.
 * Big Data
   * Problem
-    * Run MapReduce, Spark, and Flink jobs on mounted folders for faster computation.
+    * Run MapReduce, Spark, and Flink jobs on cloud data is slow due to metadata operations.
+    * Repeated data access increases unnecessary cost.
+    * May need to work with the cloud ecosystem.
   * With SeaweedFS Cloud Cache
     * Avoiding slow cloud storage metadata access.
-    * Large amount of data access will not increase cost.
+    * Access data only once.
     * Write back data to work with cloud ecosystems.
 * Cloud Storage Vendor Agnostic
   * Problem
-  * Different datasets may need to be on different vendors, based on access pattern, latency, cost, etc.
-  * Transparently switch to from one vendor to another.
+    * Different datasets may need to be on different vendors, based on access pattern, latency, cost, etc.
+  * With SeaweedFS Cloud Cache
+    * Transparently switch to from one vendor to another.
 * Move Off Cloud
   * Problem
     * Cloud storage is costly!