HPE Ezmeral Software
HPE Ezmeral Software applies a unified approach to analytics and AI, enabling organizations across a wide variety of industry to build large scale models twice as fast, generate insights from billions of records in just milliseconds, and accelerate the transformation of their businesses.
Explore the HPE Ezmeral Software documentation on current and legacy products.
The latest from the HPE Ezmeral Software community, including blog posts, release announcements and support forums.
The HPE Ezmeral Software Github features repositories containing demos, tutorials and specific use case libraries.
Extract data from S3 Object Store, transform it, and load it to EzDF.
Learn to run a Spark SQL query through a GPU.
Read a CSV file from an S3 bucket, convert it to parquet, and write it to a volume in HPE Ezmeral Software Data Fabric.
In this introductory tutorial, you will learn how to get the content and schema of an SQL table using a PrestoDB query.
Deliver training data and power an inference service for a ride-sharing driver satisfaction prediction model.
Learn to build, train, and evaluate a number of models for predicting stock markets on HPE Ezmeral Software Unified Analytics.
Learn how to use Ray on HPE Ezmeral Software Unified Analytics. In this tutorial, you will learn to calculate the squares of a list of mumbers on a GPU cluster using Ray.
Deploy an open-source Large Language Model (LLM) that is capable of answering questions over a corpus of private documentation.
In this tutorial, you will learn how to use MLFlow on HPE Ezmeral Software Unified Analytics to construct a predictive model capable of forecasting bike rental demand.
