Maximising your Data Potential with Snowpark

Maximising your Data Potential with Snowpark
Event Info
April 19, 2023
4:00 PM - 4:30 PM CEST

About this webinar

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.

Why attend

In this session, we will present a technology that can overcome technical challenges relating to implementing data pipelines and ETL processes, automating, and providing unlimited performances with near-zero maintenance required. Snowpark is a new developer experience within the Snowflake Data Cloud, allowing both data engineers and data scientists to write and execute code in their preferred languages (Python, Java or Scala). This integrates and supplements the original Snowflake SQL query engine interfaces. It allows development teams to build complex logics of large-scale and enterprise-grade applications with ease and, most importantly, without the need to process data within a separate compute cluster (e.g. Spark).


We will specifically focus on the main advantages of leveraging Snowpark and Snowflake Data Cloud as opposed to executing code within traditional Spark-based solutions, such as:


  • Scalability and elasticity
  • Ease of use and administration
  • Workload isolation and concurrency
  • Total cost of ownership

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