Apache Spark™ has become the de-facto data processing and AI engine in enterprises today due to its speed, ease of use, and sophisticated analytics. As the first Unified Analytics engine to unify data with AI, Spark allows data engineering and data science teams to simplify data preparation and model training — enabling innovative AI use cases that leverage advanced analytics like machine learning, graph analytics, and deep learning.
Join Bill Chambers, author of the book “Spark: The Definitive Guide,” and Matei Zaharia, Chief Technologist and Co-founder of Databricks and the orginal creator of Apache Spark™, in this Data Science Central webinar as they break down the basic operations and common functions of Spark and walk through sample use cases where Spark has helped accelerate AI innovation.
In this webinar, we will cover:
A gentle overview of big data and Spark
Expert guidance on how to use, deploy and maintain Spark
The fundamentals of monitoring, tuning, and debugging Spark
An exploration into machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library
Bill Chambers, Product Manager — Databricks
Matei Zaharia, Co-founder and Chief Technologist — Databricks
Bill Vorhies, Editorial Director — Data Science Central