Merge pull request #1114 from jaceklaskowski/readme-slack

Link to spark-connector Slack channel at DataStax Academy Slack

Author: RussellSpitzer

README.md

@@ -1,6 +1,7 @@
 # Spark Cassandra Connector [![Build Status](https://travis-ci.org/datastax/spark-cassandra-connector.svg)](http://travis-ci.org/datastax/spark-cassandra-connector)
 ### [Spark Cassandra Connector Spark Packages Website](http://spark-packages.org/package/datastax/spark-cassandra-connector)
-Chat with us at [DataStax Academy #spark-cassandra-connector](#datastax-academy)
+
+Chat with us at [DataStax Academy's #spark-connector Slack channel](#Slack)
 
 ### Most Recent Release Scala Docs
 
@@ -29,7 +30,7 @@ execute arbitrary CQL queries in your Spark applications.
  - Partition RDDs according to Cassandra replication using `repartitionByCassandraReplica` call
  - Converts data types between Cassandra and Scala
  - Supports all Cassandra data types including collections
- - Filters rows on the server side via the CQL `WHERE` clause 
+ - Filters rows on the server side via the CQL `WHERE` clause
  - Allows for execution of arbitrary CQL statements
  - Plays nice with Cassandra Virtual Nodes
  - Works with PySpark DataFrames
@@ -81,7 +82,7 @@ API documentation for the Scala and Java interfaces are available online:
 * [Spark-Cassandra-Connector-Java](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.3.1/spark-cassandra-connector-java/)
 * [Embedded-Cassandra](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.3.1/spark-cassandra-connector-embedded/)
 
-### 1.2.0 
+### 1.2.0
 * [Spark-Cassandra-Connector](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.2.0/spark-cassandra-connector/)
 * [Spark-Cassandra-Connector-Java](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.2.0/spark-cassandra-connector-java/)
 * [Embedded-Cassandra](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.2.0/spark-cassandra-connector-embedded/)
@@ -91,17 +92,17 @@ This project is available on Spark Packages; this is the easiest way to start us
 http://spark-packages.org/package/datastax/spark-cassandra-connector
 
 This project has also been published to the Maven Central Repository.
-For SBT to download the connector binaries, sources and javadoc, put this in your project 
+For SBT to download the connector binaries, sources and javadoc, put this in your project
 SBT config:
-                                                                                                                           
+
     libraryDependencies += "com.datastax.spark" %% "spark-cassandra-connector" % "2.0.0"
-    
+
 * The default Scala version for Spark 2.0+ is 2.11 please choose the appropriate build. See the
 [FAQ](doc/FAQ.md) for more information
 
 ## Building
 See [Building And Artifacts](doc/12_building_and_artifacts.md)
- 
+
 ## Documentation
 
   - [Quick-start guide](doc/0_quick_start.md)
@@ -125,25 +126,29 @@ See [Building And Artifacts](doc/12_building_and_artifacts.md)
   - [Tips for Developing the Spark Cassandra Connector](doc/developers.md)
 
 ## Online Training
+
 ### DataStax Academy
+
 DataStax Academy provides free online training for Apache Cassandra and DataStax Enterprise. In [DS320: Analytics with Spark](https://academy.datastax.com/courses/ds320-analytics-with-apache-spark), you will learn how to effectively and efficiently solve analytical problems with Apache Spark, Apache Cassandra, and DataStax Enterprise. You will learn about Spark API, Spark-Cassandra Connector, Spark SQL, Spark Streaming, and crucial performance optimization techniques.
 
 ## Community
+
 ### Reporting Bugs
+
 New issues may be reported using [JIRA](https://datastax-oss.atlassian.net/browse/SPARKC/). Please include
 all relevant details including versions of Spark, Spark Cassandra Connector, Cassandra and/or DSE. A minimal
 reproducible case with sample code is ideal.
 
 ### Mailing List
+
 Questions and requests for help may be submitted to the [user mailing list](http://groups.google.com/a/lists.datastax.com/forum/#!forum/spark-connector-user).
 
-### Gitter
-Datastax is consolidating our chat resources to Slack at [DataStax Academy](#datastax-academy)
+### Slack
 
-The gitter room will be shut down in the near future
-[![Join the chat at https://gitter.im/datastax/spark-cassandra-connector](https://badges.gitter.im/datastax/spark-cassandra-connector.svg)](https://gitter.im/datastax/spark-cassandra-connector?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
+The project uses Slack to facilitate conversation in our community. Find us in `#spark-connector` channel at [DataStax Academy Slack](https://academy.datastax.com/slack).
 
 ### IRC
+
 \#spark-cassandra-connector on irc.freenode.net. If you are new to IRC, you can use a [web-based client](http://webchat.freenode.net/?channels=#spark-cassandra-connector).
 
 ## Contributing
@@ -174,20 +179,20 @@ To run unit and integration tests:
 By default, integration tests start up a separate, single Cassandra instance and run Spark in local mode.
 It is possible to run integration tests with your own Cassandra and/or Spark cluster.
 First, prepare a jar with testing code:
-    
+
     ./sbt/sbt test:package
-    
+
 Then copy the generated test jar to your Spark nodes and run:    
 
     export IT_TEST_CASSANDRA_HOST=<IP of one of the Cassandra nodes>
     export IT_TEST_SPARK_MASTER=<Spark Master URL>
     ./sbt/sbt it:test
-    
+
 ## Generating Documents
-To generate the Reference Document use 
+To generate the Reference Document use
 
     ./sbt/sbt spark-cassandra-connector-unshaded/run (outputLocation)
-    
+
 outputLocation defaults to doc/reference.md
 
 ## License