From 57d9eaa8f0b04a33c499a5265a8a30156e06243e Mon Sep 17 00:00:00 2001 From: lazariv <taras.lazariv@tu-dresden.de> Date: Thu, 26 Aug 2021 14:47:07 +0000 Subject: [PATCH] Fix spelling --- .../docs/software/big_data_frameworks_spark.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc.zih.tu-dresden.de/docs/software/big_data_frameworks_spark.md b/doc.zih.tu-dresden.de/docs/software/big_data_frameworks_spark.md index 6ede1221e..9b7274016 100644 --- a/doc.zih.tu-dresden.de/docs/software/big_data_frameworks_spark.md +++ b/doc.zih.tu-dresden.de/docs/software/big_data_frameworks_spark.md @@ -202,14 +202,14 @@ You are now ready to spawn a notebook with Spark. Assuming that you have prepared everything as described above, you can go to [https://taurus.hrsk.tu-dresden.de/jupyter](https://taurus.hrsk.tu-dresden.de/jupyter). In the tab "Advanced", go -to the field "Preload modules" and select one of the Spark modules. +to the field `Preload modules` and select one of the Spark modules. When your Jupyter instance is started, check whether the kernel that you created in the preparation phase (see above) is shown in the top right corner of the notebook. If it is not already selected, select the kernel `haswell-py3.6-spark`. Then, you can set up Spark. Since the setup in the notebook requires more steps than in an interactive session, we have created an example notebook that you can use as a starting point -for convenience: [SparkExample.ipynb](misc/SparkExample.ipynb) +for convenience: [Spark-Example](misc/SparkExample.ipynb) !!! note -- GitLab