From bd2901d2642761a1b513765df0cbd8030af5efaa Mon Sep 17 00:00:00 2001
From: DuyHai DOAN <doanduyhai@gmail.com>
Date: Tue, 14 Oct 2014 23:13:22 +0200
Subject: [PATCH] Update README

---
 README.markdown | 49 -------------------------------------------------
 README.md       | 49 +++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 49 insertions(+), 49 deletions(-)
 delete mode 100644 README.markdown
 create mode 100644 README.md

diff --git a/README.markdown b/README.markdown
deleted file mode 100644
index 7e0169e..0000000
--- a/README.markdown
+++ /dev/null
@@ -1,49 +0,0 @@
-This is a Spark/Cassandra demo using the open-source **[Spark Cassandra Connector]**
-
-There are 2 packages with 2 distinct demos
-
-* _us.unemployment.demo_
-<ul>
-    <li> Ingestion
-        <ol>
-            <li> **FromCSVToCassandra**: read US employment data from CSV file into Cassandra</li>
-            <li> **FromCSVCaseClassToCassandra**: read US employment data from CSV file, create case class and insert into Cassandra</li>
-        </ol>
-    </li>
-    <li> Read
-        <ol>
-            <li> **FromCassandraToRow**: read US employment data from Cassandra into **CassandraRow** low-level object</li>
-            <li> **FromCassandraToCaseClass**: read US employment data from Cassandra into custom Scala case class, leveraging the built-in object mapper</li>
-        </ol>
-    </li>        
-</ul>
-
-* _weather.data.demo_
-<ul>
-    <li> Data preparation
-        <ol>
-            <li> Go to the folder main/data</li>
-            <li> Execute _$CASSANDRA_HOME/bin/cqlsh -f weather_data_schema.cql_ from this folder. It should create the keyspace **spark_demo** and some tables </li>
-            <li> Download the _Weather_Raw_Data_2014.csv.gz_ from **[here]** </li>
-            <li> Unzip it somewhere on your disk </li>
-        </ol>
-    </li>
-    <li> Ingestion
-        <ol>
-            <li> **WeatherDataIntoCassandra**: read all the _Weather_Raw_Data_2014.csv_ file (30.10<sup>6</sup> lines) and insert the data into Cassandra. 
-            Please do not forget set the path to this file by changing the **WeatherDataIntoCassandra.WEATHER_2014_CSV** value</li>
-        </ol>
-        This step should take a while since there are 30.10<sup>6</sup> lines to be inserted into Cassandra
-    </li>
-    <li> Read
-        <ol>
-            <li> **WeatherDataFromCassandra**: read all raw weather data plus all weather stations details, 
-            filter the data by French station and take data only between March and June 2014. 
-            Then compute average on temperature and pressure</li>
-        </ol>
-        This step should take a while since there are 30.10<sup>6</sup> lines to be read from Cassandra
-    </li>        
-</ul>
-
-[Spark Cassandra Connector]: https://github.com/datastax/spark-cassandra-connector
-[here]: https://drive.google.com/a/datastax.com/file/d/0B6wR2aj4Cb6wOF95QUZmVTRPR2s/view?usp=sharing
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..2a3633f
--- /dev/null
+++ b/README.md
@@ -0,0 +1,49 @@
+This is a Spark/Cassandra demo using the open-source **[Spark Cassandra Connector]**
+
+There are 2 packages with 2 distinct demos
+
+* _us.unemployment.demo_
+<ul>
+    <li> Ingestion
+        <ol>
+            <li> <strong>FromCSVToCassandra</strong>: read US employment data from CSV file into Cassandra</li>
+            <li> <strong>FromCSVCaseClassToCassandra</strong>: read US employment data from CSV file, create case class and insert into Cassandra</li>
+        </ol>
+    </li>
+    <li> Read
+        <ol>
+            <li> <strong>FromCassandraToRow</strong>: read US employment data from Cassandra into <strong>CassandraRow</strong> low-level object</li>
+            <li> <strong>FromCassandraToCaseClass</strong>: read US employment data from Cassandra into custom Scala case class, leveraging the built-in object mapper</li>
+        </ol>
+    </li>        
+</ul>
+
+* _weather.data.demo_
+<ul>
+    <li> Data preparation
+        <ol>
+            <li> Go to the folder main/data</li>
+            <li> Execute <em>$CASSANDRA_HOME/bin/cqlsh -f weather_data_schema.cql</em> from this folder. It should create the keyspace <strong>spark_demo</strong> and some tables </li>
+            <li> Download the <em>Weather_Raw_Data_2014.csv.gz</em> from <strong><a target="blank_" href="https://drive.google.com/a/datastax.com/file/d/0B6wR2aj4Cb6wOF95QUZmVTRPR2s/view?usp=sharing">here</a></strong> </li>
+            <li> Unzip it somewhere on your disk </li>
+        </ol>
+    </li>
+    <li> Ingestion
+        <ol>
+            <li> <strong>WeatherDataIntoCassandra</strong>: read all the <em>Weather_Raw_Data_2014.csv</em> file (30.10<sup>6</sup> lines) and insert the data into Cassandra. 
+            Please do not forget set the path to this file by changing the <strong>WeatherDataIntoCassandra.WEATHER_2014_CSV</strong> value</li>
+        </ol>
+        This step should take a while since there are 30.10<sup>6</sup> lines to be inserted into Cassandra
+    </li>
+    <li> Read
+        <ol>
+            <li> <strong>WeatherDataFromCassandra</strong>: read all raw weather data plus all weather stations details, 
+            filter the data by French station and take data only between March and June 2014. 
+            Then compute average on temperature and pressure</li>
+        </ol>
+        This step should take a while since there are 30.10<sup>6</sup> lines to be read from Cassandra
+    </li>        
+</ul>
+
+[Spark Cassandra Connector]: https://github.com/datastax/spark-cassandra-connector
+[here]: https://drive.google.com/a/datastax.com/file/d/0B6wR2aj4Cb6wOF95QUZmVTRPR2s/view?usp=sharing