diff --git a/source/tutorials/apache-spark.rst b/source/tutorials/apache-spark.rst
deleted file mode 100644
index ab234673..00000000
--- a/source/tutorials/apache-spark.rst
+++ /dev/null
@@ -1,142 +0,0 @@
-  .. _spark:
-
-Apache\* Spark
-##############
-
-This tutorial describes how to install, configure, and run Apache Spark on
-|CL-ATTR| on a single machine running the master daemon and a worker daemon.
-
-.. contents::
-   :local:
-   :depth: 1
-
-Description
-***********
-
-Apache Spark is a fast, general-purpose cluster computing system with
-the following features:
-
-*  Provides high-level APIs in Java\*, Scala\*, Python\*, and R\*.
-*  Includes an optimized engine that supports general execution graphs.
-*  Supports high-level tools including Spark SQL, MLlib, GraphX, and Spark
-   Streaming.
-
-
-Prerequisites
-*************
-
-* |CL| installed on your host system.
-
-  For detailed instructions on installing |CL| on a bare metal system, visit
-  the :ref:`bare metal installation guide <bare-metal-install-desktop>`.
-
-* Before installing any new packages, update |CL| with the following command:
-
-  .. code-block:: bash
-
-     sudo swupd update
-
-Install Apache Spark
-********************
-
-Apache Spark is included in the :command:`big-data-basic` bundle. To install the
-framework, run the following command:
-
-.. code-block:: bash
-
-   sudo swupd bundle-add big-data-basic
-
-Configure Apache Spark
-**********************
-
-#. Create the configuration directory:
-
-   .. code-block:: bash
-
-      sudo mkdir /etc/spark
-
-#. Copy the default templates from :file:`/usr/share/defaults/spark` to
-   :file:`/etc/spark`:
-
-   .. code-block:: bash
-
-      sudo cp /usr/share/defaults/spark/* /etc/spark
-
-   .. note:: Since |CL| is a stateless system, you should never modify the
-      files under the :file:`/usr/share/defaults` directory. The software
-      updater overwrites those files.
-
-#. Copy the template files shown below to create custom configuration files:
-
-   .. code-block:: bash
-
-      sudo cp /etc/spark/spark-defaults.conf.template /etc/spark/spark-defaults.conf
-      sudo cp /etc/spark/spark-env.sh.template /etc/spark/spark-env.sh
-      sudo cp /etc/spark/log4j.properties.template /etc/spark/log4j.properties
-
-#. Edit the :file:`/etc/spark/spark-env.sh` file and add the
-   :envvar:`SPARK_MASTER_HOST` variable. Replace the example address below
-   with your localhost IP address. View your IP address using the
-   :command:`hostname -I` command.
-
-   .. code-block:: bash
-
-      SPARK_MASTER_HOST="10.300.200.100"
-
-   .. note:: This optional step enables the master's web user interface to
-      view information needed later in this tutorial.
-
-#. Edit the :file:`/etc/spark/spark-defaults.conf` file and update the
-   :envvar:`spark.master` variable with the `SPARK_MASTER_HOST` address and port
-   `7077`.
-
-   .. code-block:: bash
-
-      spark.master    spark://10.300.200.100:7077
-
-Start the master server and a worker daemon
-*******************************************
-
-#. Start the master server:
-
-   .. code-block:: bash
-
-      sudo /usr/share/apache-spark/sbin/./start-master.sh
-
-#. Start one worker daemon and connect it to the master using the
-   :envvar:`spark.master` variable defined earlier:
-
-   .. code-block:: bash
-
-      sudo /usr/share/apache-spark/sbin/./start-slave.sh spark://10.300.200.100:7077
-
-#. Open an internet browser and view the worker daemon information using
-   the master's IP address and port `8080`:
-
-   .. code-block:: bash
-
-      http://10.300.200.100:8080
-
-Run the Spark wordcount example
-*******************************
-
-#. Run the wordcount example using a file on your local host and output the
-   results to a new file with the following command:
-
-   .. code-block:: bash
-
-      sudo spark-submit /usr/share/apache-spark/examples/src/main/python/wordcount.py ~/Documents/example_file > ~/Documents/results
-
-#. Open an internet browser and view the application information using
-   the master's IP address and port `8080`:
-
-   .. code-block:: bash
-
-      http://10.300.200.100:8080
-
-#. View the results of the wordcount application in the :file:`~/Documents/results` file.
-
-**Congratulations!**
-
-You have successfully installed and set up a standalone Apache Spark cluster,
-and ran a simple wordcount example.
diff --git a/source/tutorials/index.rst b/source/tutorials/index.rst
index 3d9ff446..6f15318e 100644
--- a/source/tutorials/index.rst
+++ b/source/tutorials/index.rst
@@ -31,7 +31,6 @@ sorted by difficulty level! Learn about :ref:`how we evaluate tutorials <tutoria
       Moderate
 
       -  :ref:`hadoop`
-      -  :ref:`spark`
       -  :ref:`broadcom`
       -  :ref:`fmv`
       -  :ref:`hpc`