Maximising your Data Potential with Snowpark

In this Webinar, we will explore how Snowpark, the native library for querying and processing data at scale in Snowflake, enables organisations to deliver unprecedented performances and cost savings.

Modern data pipelines should enable organisations to deliver fast and accurate data needed by businesses. However, a company’s ability to derive valuable insights and capitalise on data is often limited by the underlying data architectures, which are often overly costly and complex. In this session, we will showcase how Snowpark can help you accelerate big data processing, simplify complex data workloads and leverage machine learning (ML) to supercharge your analytics by reducing the complexity, costs and limitations tied to traditional data architectures.

We will present Snowpark, Snowflake's developer framework and library for processing data using Spark-like data frames inside Snowflake. Moreover, the key differentiators and features of the Snowflake Data Cloud will be illustrated, with a focus on the main advantages that help build data pipelines inside a single platform without the need to maintain separated Spark clusters for processing.