Snowflake
What is Snowflake ?
Snowflake Data Cloud is a data management solution and platform hosted entirely in cloud data centers (AWS/Amazon Cloud, Azure, or Google) according to a SaaS (Software as a Service) model.
Snowflake has established itself as a major player in the field of cloud data management due to its ease of use, scalability, security, versatility, and ability to work collaboratively across the globe. These advantages make it a preferred solution for JEMS and allow us to manage and analyze data efficiently and cost-effectively.
Between JEMS' expertise and the Snowflake Data Cloud Platform companies have a turnkey solution for cloud data management.
JEMS & Snowflake: Unlimited Data Cloud Power for Your Assets
The platform Snowflake It is the reactor of your data heritage. As an expert partner, JEMS uses Snowflake to break down technological silos and offer a unique, high-performance and secure source of truth.
Thanks to its multi-cluster architecture and its copy-free data sharing engine, we enable your organisation to collaborate in real-time, scale your analyses instantly, and transform your data into actionable products, all without any infrastructure management.
Our Snowflake experts
JEMS consultants are trained and certified in Snowflake architecture: we offer more than 41 certified and accredited experts across all available certifications, with the experience to master all aspects of Snowflake architecture, including ETL, databases, and online analytical processing.
They accompany you in the operation of Snowflake Cortex to integrate generative AI directly into your governed data. We have mastered Snowpark to run your Python/Scala processing as close to the data as possible, as well as the deployment of Snowflake Native Apps. With JEMS, you optimise your costs via a strategy FinOps rigorous, while ensuring enterprise-grade security across your entire data lifecycle.
In detail:
- Cloud Data Warehousing Expertise : to store, manage, and analyze large amounts of data in the cloud without having to worry about managing the hardware infrastructure.
- Multi-cluster architecture expertise : to run workloads independently across multiple compute clusters. This ensures high performance even when multiple users are running queries simultaneously.
- Storage and compute expertise : to store data centrally and share it among users, while allowing for independent compute scalability. This enables more efficient resource management.
- Security expertise : with encryption of data at rest and in transit, as well as options for compliance with standards such as HIPAA, GDPR, and SOC 2.
These experts are at the heart of the many projects we have won jointly with our partner.
