M3V4 User Access To Compute Engines

Discover the power of Qubole as it supports a wide range of open-source engines for your data workloads.

What You’ll Learn:

  1. Open Source Engine Support:
    • Benefit from Qubole’s compatibility with Apache Spark, TensorFlow, Presto, Airflow, Hadoop, Hive, and more, enabling seamless execution of ETL, analytics, and AI/ML tasks.
  2. Flexible Job Submission:
    • Submit jobs to compute engines via Qubole’s control plane, UI, API, or third-generation drivers, providing multiple options tailored to your workflow preferences.
  3. Enhanced Security and Authentication:
    • Ensure secure access to clusters through Qubole’s authentication mechanisms, including IM and RBAC, or utilize third-party OSS drivers with LDAP and file-based authentication for direct access.
  4. Streamlined Operations:
    • Leverage Qubole’s control plane for cluster management tasks such as start/stop and query history tracking, optimizing operational efficiency.

Please fill in the form to watch the webinar

Note: By filling and submitting this form you understand and agree that the use of Qubole’s website is subject to the General Website Terms of Use. Additional details regarding Qubole’s collection and use of your personal information, including information about access, retention, rectification, deletion, security, cross-border transfers and other topics, is available in the Privacy Policy. If you have any questions regarding the webform language, please contact [email protected].