SQream Platform
GPU Powered Data & Analytics Acceleration
Enterprise (Private Deployment) SQL on GPU for Large & Complex Queries
Public Cloud (GCP, AWS) GPU Powered Data Lakehouse
No Code Data Solution for Small & Medium Business
Scale your ML and AI with Production-Sized Models
Home
Resources
Faster and better ML data preparation with SQream
By SQream, 5.9.2023
With the ever-growing complexity of Machine Learning (ML) models, the need for ML Operations (MLOps) has become essential in deploying successful models into production and continuously improving them with new data.
On average, data scientists spend 80% of their time preparing data. Attempts to deal with this challenge, such as training smaller datasets or conducting fewer cycles of experimentation after deployment, only reduced ML models’ accuracy and forced companies to compromise.
Shahar Faians
SQreamDB
A SQL database that empowers organizations to perform complex analytics on petabyte-scale of data and gain time-sensitive business insights, faster and at one tenth of the cost.