Analytical technology has changed dramatically over the last decade, with more powerful and less expensive distributed computing across commodity servers, and improved machine learning (ML) technologies, enabling companies to store and analyze many different types of data and far more of it.
Traditionally, users have had to manage their own NVIDIA GPU and compute clusters for large-scale data processing. With Dataproc on Google Cloud, you have access to a fully-managed Apache Spark cluster and NVIDIA GPUs that can be seamlessly integrated with your cluster.
In this eBook, we’ll cover:
How to get started with Dataproc on Google Cloud
Spark processing basics, tools, and syntax
Spark SQL and DataFrame Programming
NVIDIA GPU-Accelerated Apache Spark 3.x
Best Practices with NVIDIA GPU-Accelerated Apache Spark 3.x
Download our How-to guide to learn more.
The post Accelerating Apache Spark 3: Leveraging Dataproc and NVIDIA GPUs to Power the Next Era of Analytics and AI appeared first on Whitepaper Repository -.
↧