For enterprise data science environments, development platforms aren’t enough. The data itself, and the infrastructure that serves it, are foundational to data science work. Implementing them well is a strategic necessity.
Fast, governed access to the right data is critical to data science project success. The data must be cleansed and of high quality, with proper role-based access enforced. The infrastructure must manage workloads well, letting data scientists explore, query and shape the data they need, to build the best predictive models.
Join us for this free one-hour webinar with GigaOm Research and Snowflake, focused on data warehousing built for the cloud, to review infrastructure strategies that boost data science production.
You will learn:
- How to support demanding data science projects without hampering other data teams
- Strategies to secure data easily and effectively, while keeping authorized access agile and available
- How to accelerate query performance cost-effectively for data access technologies such as Python, Spark SQL, and others
Who Should Attend:
- Chief Data Officers
- Data Scientists
- Data Engineers
- Data Stewards
- Database Administrators (DBAs)