[CARBONDATA-2478] Added datamap-developer-guide.md file to Readme.md

[CARBONDATA-2478] Added datamap-developer-guide.md file to Readme.md

This closes #2305


Project: http://git-wip-us.apache.org/repos/asf/carbondata/repo
Commit: http://git-wip-us.apache.org/repos/asf/carbondata/commit/d0567af2
Tree: http://git-wip-us.apache.org/repos/asf/carbondata/tree/d0567af2
Diff: http://git-wip-us.apache.org/repos/asf/carbondata/diff/d0567af2

Branch: refs/heads/branch-1.4
Commit: d0567af28cf7582bbf3367b8ecb019962e5304ce
Parents: 70ef024
Author: vandana <vandana.yadav...@gmail.com>
Authored: Mon May 14 15:46:19 2018 +0530
Committer: ravipesala <ravi.pes...@gmail.com>
Committed: Thu Aug 9 23:42:44 2018 +0530

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 README.md | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)
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http://git-wip-us.apache.org/repos/asf/carbondata/blob/d0567af2/README.md
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diff --git a/README.md b/README.md
index d8f7226..d76b080 100644
--- a/README.md
+++ b/README.md
@@ -37,9 +37,9 @@ Spark2.2:
 </a>
 ## Features
 CarbonData file format is a columnar store in HDFS, it has many features that 
a modern columnar format has, such as splittable, compression schema ,complex 
data type etc, and CarbonData has following unique features:
-* Stores data along with index: it can significantly accelerate query 
performance and reduces the I/O scans and CPU resources, where there are 
filters in the query.  CarbonData index consists of multiple level of indices, 
a processing framework can leverage this index to reduce the task it needs to 
schedule and process, and it can also do skip scan in more finer grain unit 
(called blocklet) in task side scanning instead of scanning the whole file. 
-* Operable encoded data :Through supporting efficient compression and global 
encoding schemes, can query on compressed/encoded data, the data can be 
converted just before returning the results to the users, which is "late 
materialized". 
-* Supports for various use cases with one single Data format : like 
interactive OLAP-style query, Sequential Access (big scan), Random Access 
(narrow scan). 
+* Stores data along with index: it can significantly accelerate query 
performance and reduces the I/O scans and CPU resources, where there are 
filters in the query.  CarbonData index consists of multiple level of indices, 
a processing framework can leverage this index to reduce the task it needs to 
schedule and process, and it can also do skip scan in more finer grain unit 
(called blocklet) in task side scanning instead of scanning the whole file.
+* Operable encoded data :Through supporting efficient compression and global 
encoding schemes, can query on compressed/encoded data, the data can be 
converted just before returning the results to the users, which is "late 
materialized".
+* Supports for various use cases with one single Data format : like 
interactive OLAP-style query, Sequential Access (big scan), Random Access 
(narrow scan).
 
 ## Building CarbonData
 CarbonData is built using Apache Maven, to [build 
CarbonData](https://github.com/apache/carbondata/blob/master/build)
@@ -53,6 +53,7 @@ CarbonData is built using Apache Maven, to [build 
CarbonData](https://github.com
 * [Configuring 
Carbondata](https://github.com/apache/carbondata/blob/master/docs/configuration-parameters.md)
 * [Streaming 
Ingestion](https://github.com/apache/carbondata/blob/master/docs/streaming-guide.md)
 * [SDK 
Guide](https://github.com/apache/carbondata/blob/master/docs/sdk-guide.md)
+* [DataMap Developer 
Guide](https://github.com/apache/carbondata/blob/master/docs/datamap-developer-guide.md)
 * [CarbonData Pre-aggregate 
DataMap](https://github.com/apache/carbondata/blob/master/docs/datamap/preaggregate-datamap-guide.md)
 * [CarbonData Timeseries 
DataMap](https://github.com/apache/carbondata/blob/master/docs/datamap/timeseries-datamap-guide.md)
 * [FAQ](https://github.com/apache/carbondata/blob/master/docs/faq.md)

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