Update README.md

README.md

@@ -5,13 +5,13 @@ Hanborq, a start-up team focuses on Cloud & BigData products and businesses, del
 
 HDH delivers a series of improvements on Hadoop Core, and Hadoop-based tools and applications for putting Hadoop to work solving Big Data problems in production. HDH is ideal for enterprises seeking an integrated, fast, simple, and robust Hadoop Distribution. In particular, if you think your MapReduce jobs are slow and low performing, the HDH may be you choice.    
 
-# Hanborq optimized Hadoop   
+## Hanborq optimized Hadoop   
 It is a open source distribution, to make Hadoop **Fast**, **Simple** and **Robust**.    
 **- Fast:** High performance, fast MapReduce job execution, low latency.   
 **- Simple:** Easy to use and develop BigData applications on Hadoop.   
 **- Robust:** Make hadoop more stable.   
 
-# Features   
+## Features   
 ### MapReduce   
 **- Fast job launching:** such as the time of job lunching drop from 15 seconds to 1 second.   
 **- Low latency:** not only job setup, job cleanup, but also data shuffle, etc.   
@@ -20,10 +20,10 @@ It is a open source distribution, to make Hadoop **Fast**, **Simple** and **Robu
 
 ... and more and continuous ...   
 
-# Compatibility   
+## Compatibility   
 The API, configuration, scripts are all back-compatible with [Apache Hadoop](http://hadoop.apache.org/) and [Cloudera Hadoop(CDH)](http://www.cloudera.com/hadoop/). The user and developer need not to study new, except new features.
 
-# Innovations and Inspirations   
+## Innovations and Inspirations   
 The open source community and our real enterprise businesses are the strong source of our continuous innovations. 
 Google, the great father of MapReduce, GFS, etc., always outputs papers and experiences that bring us inspirations, such as:   
 [MapReduce: Simplified Data Processing on Large Clusters](http://research.google.com/archive/mapreduce.html)   
@@ -33,5 +33,5 @@ Google, the great father of MapReduce, GFS, etc., always outputs papers and expe
 
 ... and more and more ...   
 
-# Open Source License   
+## Open Source License   
 All Hanborq offered code is licensed under the [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0). And others follow the original license announcement.