Repository: incubator-griffin-site
Updated Branches:
  refs/heads/master 1d228cf19 -> ebdd32b4e


update architecture


Project: http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/repo
Commit: 
http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/commit/ebdd32b4
Tree: 
http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/tree/ebdd32b4
Diff: 
http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/diff/ebdd32b4

Branch: refs/heads/master
Commit: ebdd32b4ec2389630cdd6bacf5339fffc9fbd2e6
Parents: 1d228cf
Author: William Guo <[email protected]>
Authored: Wed May 17 09:04:15 2017 +0800
Committer: William Guo <[email protected]>
Committed: Wed May 17 09:04:15 2017 +0800

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 source/_posts/home.md       |  11 +++++++++--
 source/images/arch.png      | Bin 0 -> 307285 bytes
 source/images/techstack.png | Bin 0 -> 127993 bytes
 3 files changed, 9 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/blob/ebdd32b4/source/_posts/home.md
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--- a/source/_posts/home.md
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@@ -8,7 +8,7 @@ Apache Griffin is a Data Quality Service platform built on 
Apache Hadoop and Apa
 
 
 ## Overview of Apache Griffin  
-At eBay, when people use big data (Hadoop or other streaming systems), 
measurement of data quality is a big challenge. Different teams have built 
customized tools to detect and analyze data quality issues within their own 
domains. As a platform organization, we think of taking a platform approach to 
commonly occurring patterns. As such, we are building a platform to provide 
shared Infrastructure and generic features to solve common data quality pain 
points. This would enable us to build trusted data assets.
+When people use big data (Hadoop or other streaming systems), measurement of 
data quality is a big challenge. Different teams have built customized tools to 
detect and analyze data quality issues within their own domains. As a platform 
organization, we think of taking a platform approach to commonly occurring 
patterns. As such, we are building a platform to provide shared Infrastructure 
and generic features to solve common data quality pain points. This would 
enable us to build trusted data assets.
 
 Currently it is very difficult and costly to do data quality validation when 
we have large volumes of related data flowing across multi-platforms (streaming 
and batch). Take eBay's Real-time Personalization Platform as a sample; 
Everyday we have to validate the data quality for ~600M records. Data quality 
often becomes one big challenge in this complex environment and massive scale.
 
@@ -50,10 +50,17 @@ For near real time analysis, we consume data from messaging 
system, then our dat
 We have RESTful web services to accomplish all the functionalities of Apache 
Griffin, such as register data-set, create data quality model, publish metrics, 
retrieve metrics, add subscription, etc. So, the developers can develop their 
own user interface based on these web serivces.
 
 ## Main business process
-Here's the business process diagram
 
 ![](/images/Business_Process.png)
 
+## Architecture diagram
+
+![](/images/arch.png)
+
+## Tech stack
+
+![](/images/techstack.png)
+
 ## Rationale
 The challenge we face at eBay is that our data volume is becoming bigger and 
bigger, systems process become more complex, while we do not have a unified 
data quality solution to ensure the trusted data sets which provide confidences 
on data quality to our data consumers.  The key challenges on data quality 
includes:
 

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