Getting to know VantageCloud Lake
Organizations face several challenges with their existing data analytics ecosystems, including restrictive policies, disjointed tools and services, resource contention, isolated data silos, and suboptimal governance. These issues collectively hinder innovation and slow business growth.
In this live demo, we’ll introduce you to Teradata’s VantageCloud Lake platform. Its robust architectural design and cloud-enabled capabilities empower users of any skill level to execute the full spectrum of analytic enterprise workloads, including AI/ML, across the entire organization.
We’ll explore VantageCloud Lake’s self-service console and key features that IT admins, data engineers, data analysts, and data scientists can leverage to innovate faster, scale smarter, and govern better.
Learn how to:
- Enable the entire organization to activate AI innovation that delivers more value
- Promote business autonomy and agility with Teradata’s smart scaling technology
- Easily create new environments and compute clusters and set up users
- Practice sound financial governance
- Seamlessly connect all your data with Teradata’s QueryGrid
- Instantly visualize data metrics with built-in data insights
- Use generative AI-powered ask.ai to streamline system administration, identify analytic functions, and write associated SQL code
- Optimize efficiency, accuracy, and security by adopting modern data management, including massively scalable, low-cost storage options
- Leverage ClearScape Analytics™, our comprehensive suite of powerful analytics capabilities seamlessly integrated into VantageCloud Lake, to address every aspect of the analytics lifecycle
Don’t miss this opportunity to see how VantageCloud Lake can transform your cloud strategy.
Speakers include:
Kevin Sturgeon
Director, Solution Engineering, Teradata
Kevin Sturgeon directs a global program for the development and delivery of live demonstration assets showcasing Teradata’s unique technological and business benefits, including solutions for cloud, data and systems architecture, AI/ML, advanced analytics, and business outcomes.