How Data Virtualization Puts Machine Learning into Production (APAC)

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Sushant Kumar
Sushant Kumar Product Marketing Manager Denodo
Chris Day
Chris Day Director, APAC Sales Engineering Denodo

 2020/12/17

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.

Attend this session to learn how companies can use data virtualization to:

  • Create a logical architecture to make all enterprise data available for advanced analytics exercise
  • Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
  • Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc

What's Next?

Gain real-time insights from your data and begin
your digital transformation today!