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jlpalomino merged 4 commits into from
May 19, 2026
Merged

Update spark_data_science.ipynb #3149

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26f77fb
Update spark_data_science.ipynb
bradmiro May 19, 2026
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Update spark_data_science.ipynb
bradmiro May 19, 2026
2657579
Update spark_data_science.ipynb
bradmiro May 19, 2026
f7bf04a
Update spark_data_science.ipynb
bradmiro May 19, 2026
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8 changes: 4 additions & 4 deletions self-paced-labs/data-science-spark/spark_data_science.ipynb
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Expand Up @@ -94,7 +94,7 @@
"id": "qm7aYYPI04tE"
},
"source": [
"To use [Google Cloud Serverless for Apache Spark](https://docs.cloud.google.com/dataproc-serverless/docs), turn on [Private Google Access](https://docs.cloud.google.com/vpc/docs/configure-private-google-access#gcloud_1)."
"To use [Managed Service for Apache Spark](https://docs.cloud.google.com/dataproc-serverless/docs) serverless, turn on [Private Google Access](https://docs.cloud.google.com/vpc/docs/configure-private-google-access#gcloud_1)."
]
},
{
Expand Down Expand Up @@ -236,7 +236,7 @@
"id": "KuwqTKG0vXE3"
},
"source": [
"For large workloads, you can use [Lightning Engine](https://cloud.google.com/products/lightning-engine) to further accelerate your Spark workloads by up to [4.3x](https://docs.cloud.google.com/dataproc-serverless/docs/guides/lightning-engine#enable_lightning_engine). The dataset in this lab is too small to see meaningful differences. For reference, you could use the following code with your own notebook and data:\n",
"For large workloads, you can use [Lightning Engine](https://cloud.google.com/products/lightning-engine) to further accelerate your Spark workloads by up to [4.9x](https://docs.cloud.google.com/dataproc-serverless/docs/guides/lightning-engine#enable_lightning_engine). The dataset in this lab is too small to see meaningful differences. For reference, you could use the following code with your own notebook and data:\n",
"\n",
"```\n",
"session.runtime_config.properties = {\n",
Expand Down Expand Up @@ -479,7 +479,7 @@
"id": "bTgsXlzq04yR"
},
"source": [
"**Prompt 5**: Using the table \"users\", generate code to plot country vs traffic source using a suitable plotting library."
"**Prompt 5**: Using the table \"users\", generate code to plot country vs traffic source using a suitable plotting library. Import all necessary libraries."
]
},
{
Expand All @@ -497,7 +497,7 @@
"id": "5uKeAC2Y09kM"
},
"source": [
"**Prompt 6:** Create distribution plots for \"age\", \"country\", \"gender\", and \"traffic_source\". Use appropriate plots for categorical columns."
"**Prompt 6:** Create distribution plots for \"age\", \"country\", \"gender\", and \"traffic_source\". Use appropriate plots for categorical columns. Import all necessary libraries."
]
},
{
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