Gaining the intuition and skills necessary to manage infrastructure to solve problems with data science and machine learning is challenging. Organize your data on premise or in the Cloud and learn how to take advantage of Machine learning and Data science to put your data to work for your company.
If your organization is faced with data challenges like accessing new data sources, working with a variety of formats or siloed data sources, getting the insights you need from the data you depend on, regardless of where it lives, is critical. We will share ideas related to recent shifts in engineering approaches relevant to deploying machine learning and data science with enterprise data, giving users access to powerful data science and machine learning tools. Learn about our common SQL engine providing federation, low latency and support for ad-hoc and complex queries for your data users. Hands on demo of Machine Learning with the latest data model technologies.
Speakers: Hemant Suri: Hybrid Data Warehouse Offering Manager, Christopher Reuter: Hybrid Data Warehouse Evangelist
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