Analyzing data

You can analyze data to transform raw information into actionable insights.

You can integrate Business Intelligence (BI) tools to analyze your data assets. With the BI tool, you can enrich your data assets, define metrics, and analyze insights in dashboards. See Integrating with business intelligence tools.

You can analyze, visualize, and transform data by writing Python or R code in Jupyter notebooks. You can select a runtime environment and run Jupyter notebooks in jobs. See Jupyter notebooks.

You can analyze and process data by running your existing Apache Spark applications as Python, Scala, or Java jobs. You can schedule and monitor the job runs. See Analyzing and processing data with Spark.