In today’s business and technology landscape, efficiently managing vast data for AI-driven applications and decision-making is paramount. Traditional on-premises Hadoop data lakes often lack scalability and governance, prompting a shift to cloud-based solutions. Even cloud data lakes haven’t delivered the needed reliability, performance, governance and simplicity, ultimately leading to higher-than-anticipated overhead costs and limiting the value of data.
Snowflake, initially a cloud data warehouse, has evolved into a versatile platform supporting a broad range of workloads and architectural patterns. Modernizing data lakes with Snowflake enables organizations to:
- Maximize productivity
- Mitigate risks
- Lower total cost of ownership by unifying data storage, governance, and reducing operational overhead.
Join this webinar to explore reference architectures and hear migration best practices.
Orateurs
Scott Teal
Product Marketing Lead
Snowflake
Naga Mahadevan
Senior Solutions Architect
Parag Jain
Principal Architect, Data Engineering, Field CTO Office
Snowflake