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+# TPC-DS Scale Factor 10 (GiB) - CPU Spark vs GPU Spark
+
+[TPC-DS](https://www.tpc.org/tpcds/) is a decision support benchmark often used to evaluate
+performance of OLAP Databases and Big Data systems.
+
+The notebook in this folder runs a user-specified subset of the TPC-DS queries on the
+Scale Factor 10 (GiB) dataset. It uses [TPCDS PySpark](https://github.com/cerndb/SparkTraining/blob/master/notebooks/TPCDS_PySpark_CERN_SWAN_getstarted.ipynb)
+to execute TPC-DS queries with SparkSQL on GPU and CPU capturing the metrics
+as a Pandas dataframe. It then plots a comparison bar chart visualizing
+the GPU acceleration achieved for the queries run with RAPIDS Spark in this
+very notebook.
+
+This notebook can be opened and executed using standard
+
+- Jupyter(Lab)
+- in VSCode with Jupyter [extension](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter)
+
+It can also be opened and evaluated on hosted Notebook environments. Use the link below to launch on
+Google Colab and connect it to a [GPU instance](https://research.google.com/colaboratory/faq.html).
+
+ <a target="_blank" href="https://colab.research.google.com/github/NVIDIA/spark-rapids-examples/blob/b3b48f8d384581c211dedf714a48943561c25899/examples/SQL%2BDF-Examples/tpcds/notebooks/TPCDS-SF10.ipynb">
+  <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
+</a>
+
+Here is the bar chart from a recent execution on Google Colab's T4 High RAM instance using
+RAPIDS Spark 24.10.0 with Apache Spark 3.5.1
+
+![tpcds-speedup](/docs/img/guides/tpcds.png)