IBM® Analytics for Apache Spark on IBM Cloud enables you to explore the essentials of data quickly in an interactive computational environment. The large-scale data analytics capabilities of Apache® Spark™ included in Jupyter-based notebooks provide the ideal framework for building powerful solutions around data. Get started in IBM Cloud.
Develop with IBM Analytics for Apache Spark
There are 2 ways to develop on our Spark service:
- On IBM Cloud: use spark-submit to work with Spark programmatically. Run large nightly batch jobs, which can launch unattended from a script triggered by a cron job, and don’t require any interaction to complete. Learn more about spark-submit.
- On Data Science Experience (DSx): use Jupyter notebooks to edit and execute Scala, R, or Python analysis code. You’ll find our sample notebooks useful for getting started, uploading data, quickly experimenting analysis, and for bringing in additional libraries for use with your IBM Analytics for Apache Spark instance. Learn more about notebooks.
Ready to get started with Analytics for Apache Spark?
Earn an Apache Spark Badge
If you’re using Spark, consider earning the Spark Level 1, Spark Level 2, Spark Technial Concepts, Spark Applied Concepts, Spark ML and Spark Streaming, Spark Core and Spark SQL Essentials, Apache Spark on Cloud, and Spark R and GraphX IBM Open Badges to share verified proof of your achievement.