The Role of Data Virtualization in AI-ML Projects - A Demonstration
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the role of data virtualization in accelerating AI/ML projects through this 44-minute demonstration. Learn how data virtualization integrates data in real-time from various sources, providing data scientists with a powerful tool to streamline data acquisition and preparation. Discover the integration of popular data science tools like Spark, Python, Zeppelin, and Jupyter with the Denodo Platform for Data Virtualization. Gain insights into efficiently handling large data volumes and understand how data virtualization can significantly reduce project time spent on data-related tasks. Follow along as the demonstration covers topics such as data science workflow, data fabric architecture, data preparation, cleansing, transformation, and visualization, culminating in practical examples of statistics and machine learning applications.