How would a data scientist connect a Jupyter Notebook to watsonx.data to query Iceberg tables?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Jupyter Notebooks connect to watsonx.data's Presto engine using Python libraries such as PyHive; prestodb; or SQLAlchemy with Presto dialect; using the engine's hostname; port; and authentication credentials from the watsonx.data console.
Full explanation below image
Full Explanation
Jupyter Notebooks connect to watsonx.data's Presto engine using Python libraries such as PyHive; prestodb; or SQLAlchemy with Presto dialect; using the engine's hostname; port; and authentication credentials from the watsonx.data console. The incorrect options ("By copying Parquet files to the notebook server's local filesystem", "By embedding SQL code directly in the notebook's markdown cells", "By using the watsonx.data mobile app to share query results with the notebook") are distractors that don't fully capture the concept described.