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commit 07a3b5ff22a2c1267a5d6d61a947f95a188007c8
Author: Jeff Zhang <zjf...@apache.org>
AuthorDate: Mon Jun 1 22:10:17 2020 +0800

    update blog for part-1
---
 ...ppelin.md => 2020-06-15-flink-on-zeppelin-part1.md} |  17 +++++++++--------
 .../create_sink.png                                    | Bin
 .../create_source.png                                  | Bin
 .../etl.png                                            | Bin
 .../preview.png                                        | Bin
 5 files changed, 9 insertions(+), 8 deletions(-)

diff --git a/_posts/2020-05-25-flink-on-zeppelin.md 
b/_posts/2020-06-15-flink-on-zeppelin-part1.md
similarity index 84%
rename from _posts/2020-05-25-flink-on-zeppelin.md
rename to _posts/2020-06-15-flink-on-zeppelin-part1.md
index b965fe4..d0070d1 100644
--- a/_posts/2020-05-25-flink-on-zeppelin.md
+++ b/_posts/2020-06-15-flink-on-zeppelin-part1.md
@@ -1,7 +1,7 @@
 ---
 layout: post
-title:  "Flink on Zeppelin Notebooks for Interactive Data Analysis"
-date:   2020-05-25T08:00:00.000Z
+title:  "Flink on Zeppelin Notebooks for Interactive Data Analysis - Part 1"
+date:   2020-06-15T08:00:00.000Z
 categories: news
 authors:
 - zjffdu:
@@ -10,7 +10,7 @@ authors:
 ---
 
 The latest release of [Apache Zeppelin](https://zeppelin.apache.org/) comes 
with a redesigned interpreter for Apache Flink (version Flink 1.10+ is only 
supported moving forward) 
-that allows developers to use Flink directly on Zeppelin notebooks for 
interactive data analysis. In this post, we explain how the Flink interpreter 
in Zeppelin works, 
+that allows developers to use Flink directly on Zeppelin notebooks for 
interactive data analysis. I wrote 2 posts about how to use Flink in Zeppelin. 
This is part-1 where I explain how the Flink interpreter in Zeppelin works, 
 and provide a tutorial for running Streaming ETL with Flink on Zeppelin.
 
 # The Flink Interpreter in Zeppelin 0.9
@@ -48,31 +48,32 @@ You can use Flink SQL to perform streaming ETL by following 
the steps below
 * Step 1. Create source table to represent the source data.
 
 <center>
-<img src="{{ site.baseurl 
}}/img/blog/2020-05-25-flink-on-zeppelin/create_source.png" width="80%" 
alt="Create Source Table"/>
+<img src="{{ site.baseurl 
}}/img/blog/2020-06-15-flink-on-zeppelin/create_source.png" width="80%" 
alt="Create Source Table"/>
 </center>
 
 * Step 2. Create a sink table to represent the processed data.
 
 <center>
-<img src="{{ site.baseurl 
}}/img/blog/2020-05-25-flink-on-zeppelin/create_sink.png" width="80%" 
alt="Create Sink Table"/>
+<img src="{{ site.baseurl 
}}/img/blog/2020-06-15-flink-on-zeppelin/create_sink.png" width="80%" 
alt="Create Sink Table"/>
 </center>
 
 * Step 3. After creating the source and sink table, we can insert them to our 
statement to trigger the stream processing job as the following: 
 
 <center>
-<img src="{{ site.baseurl }}/img/blog/2020-05-25-flink-on-zeppelin/etl.png" 
width="80%" alt="ETL"/>
+<img src="{{ site.baseurl }}/img/blog/2020-06-15-flink-on-zeppelin/etl.png" 
width="80%" alt="ETL"/>
 </center>
 
 * Step 4. After initiating the streaming job, you can use another SQL 
statement to query the sink table to verify the results of your job. Here you 
can see the top 10 records which will be refreshed every 3 seconds.
 
 <center>
-<img src="{{ site.baseurl 
}}/img/blog/2020-05-25-flink-on-zeppelin/preview.png" width="80%" 
alt="Preview"/>
+<img src="{{ site.baseurl 
}}/img/blog/2020-06-15-flink-on-zeppelin/preview.png" width="80%" 
alt="Preview"/>
 </center>
 
 # Summary
 
 In this post, we explained how the redesigned Flink interpreter works in 
Zeppelin 0.9.0 and provided some examples for performing streaming ETL jobs 
with 
-Flink and Zeppelin. You can find an additional [tutorial for batch processing 
with Flink on 
Zeppelin](https://medium.com/@zjffdu/flink-on-zeppelin-part-2-batch-711731df5ad9)
 as well as using Flink on Zeppelin for 
+Flink and Zeppelin. In the next post, I will talk about how to do streaming 
data visualization via Flink on Zeppelin.
+Besides that, you can find an additional [tutorial for batch processing with 
Flink on 
Zeppelin](https://medium.com/@zjffdu/flink-on-zeppelin-part-2-batch-711731df5ad9)
 as well as using Flink on Zeppelin for 
 more advance operations like resource isolation, job concurrency & 
parallelism, multiple Hadoop & Hive environments and more on our series of 
posts on Medium.
 And here's a list of [Flink on Zeppelin tutorial 
videos](https://www.youtube.com/watch?v=YxPo0Fosjjg&list=PL4oy12nnS7FFtg3KV1iS5vDb0pTz12VcX)
 for your reference.
 
diff --git a/img/blog/2020-05-25-flink-on-zeppelin/create_sink.png 
b/img/blog/2020-06-15-flink-on-zeppelin/create_sink.png
similarity index 100%
rename from img/blog/2020-05-25-flink-on-zeppelin/create_sink.png
rename to img/blog/2020-06-15-flink-on-zeppelin/create_sink.png
diff --git a/img/blog/2020-05-25-flink-on-zeppelin/create_source.png 
b/img/blog/2020-06-15-flink-on-zeppelin/create_source.png
similarity index 100%
rename from img/blog/2020-05-25-flink-on-zeppelin/create_source.png
rename to img/blog/2020-06-15-flink-on-zeppelin/create_source.png
diff --git a/img/blog/2020-05-25-flink-on-zeppelin/etl.png 
b/img/blog/2020-06-15-flink-on-zeppelin/etl.png
similarity index 100%
rename from img/blog/2020-05-25-flink-on-zeppelin/etl.png
rename to img/blog/2020-06-15-flink-on-zeppelin/etl.png
diff --git a/img/blog/2020-05-25-flink-on-zeppelin/preview.png 
b/img/blog/2020-06-15-flink-on-zeppelin/preview.png
similarity index 100%
rename from img/blog/2020-05-25-flink-on-zeppelin/preview.png
rename to img/blog/2020-06-15-flink-on-zeppelin/preview.png

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