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Qubole Announces Webinar on Data Pipelines for Machine Learning

Executives to Discuss Best Practices for Data Engineers Building Scalable, Robust Data Pipelines

SANTA CLARA, Calif., Nov. 27, 2018 — Qubole, the data activation company, today announced a webinar for data engineers scheduled for 10 a.m. PDT Wednesday, November 28. The webinar, titled “Best Practices: How To Build Scalable Data Pipelines for Machine Learning,” will address the challenges faced by data engineers when building machine learning (ML) data pipelines. Hosted by Pradeep Reddy, solutions architect at Qubole and Jorge Villamariona of Qubole’s product marketing team, the webinar is designed to provide the insights needed to successfully build and fill data lakes, and reliably deliver complete, large-volume data sets so that data scientists can train more accurate models.

For more information and to register for the webinar, please visit the webinar home page.

The webinar will cover:

• Some of the typical challenges faced by data engineers when building robust pipelines for machine learning.
• The various big data engines for building ML data pipelines, their typical uses and how each addresses these challenges.
• The processes of data exploration, preparation, orchestration and delivery.
• Real-world customer examples.

About Qubole

Qubole is the cloud-native data management platform for analytics and machine learning that allows enterprises to quickly harness the power of data to gain valuable business insights. Only Qubole provides a unified environment for all major cloud providers and data processing engines. The company’s unified environment includes optimized versions of Spark, Presto, Hive and Airflow, with intelligent automation technology that scales usage up or down to meet service-level needs and minimize cloud costs. Based in Santa Clara, Calif., Qubole has offices in New York City, San Francisco, London, Singapore and Bangalore. For more information, visit us online.

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