In the fast-paced world of data science and AI, we will explore how large language models (LLMs) can elevate the development process of Apache Spark applications.
We’ll demonstrate how LLMs can simplify SQL query creation, data ingestion, and DataFrame transformations, leading to faster development and clearer code that’s easier to review and understand. We’ll also show how LLMs can assist in creating visualizations and clarifying data insights, making complex data easy to understand.
Furthermore, we’ll discuss how LLMs can be used to create user-defined data sources and functions, offering a higher level of adaptability in Apache Spark applications.
Our session, filled with practical examples, highlights the innovative role of LLMs in the realm of Apache Spark development. We invite you to join us in this exploration of how these advanced language models can drive innovation and boost efficiency in the sphere of data science and AI.
Talk by: Gengliang Wang and Allison Wang
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