SNOWFLAKE: TOMORROW'S DATA, TODAY
With Snowflake, we offer a powerful, cloud-native data platform that efficiently and flexibly meets your data needs. From data warehousing to data lakes and data science, Snowflake sets new standards in data processing and analysis.
Why we choose Snowflake
Elastic Scalability
The ability to independently scale storage and computing power allows for agile responses to fluctuating demands.
Effortless Data Integration
Seamless integration with AWS, Azure, and Google Cloud, supporting a myriad of data formats and sources.
Minimal Management
Snowflake is a fully managed cloud platform that eliminates the need for hardware installation or configuration, offering built-in performance optimization.
»Snowflake is an exceptionally flexible and user-friendly technology that empowers engineers to swiftly and efficiently integrate, harmonize, and make data accessible to analysts.«
Senior Consultant at Turbine Kreuzberg
Snowflake: Optimized for the Cloud
Snowflake is a data platform meticulously designed for the cloud, operating seamlessly on AWS, Microsoft Azure, or Google Cloud Platform. Snowflake's architecture marries a SQL query engine with an innovative cloud-centric approach, enabling the independent scaling of storage and computing power.
Three principal layers of the architecture
- Database Storage: Data is stored in an optimized, compressed, columnar format hosted in the cloud. Snowflake manages all facets of data storage.
- Query Processing: Queries are executed in the processing layer, comprising "virtual warehouses" that function as independent MPP clusters.
- Cloud Services: This layer orchestrates activities across Snowflake, including authentication, infrastructure management, metadata management, query parsing and optimization, and access control.
What Snowflake can do
Data Engineering:
Continuous or batch data ingestion and transformation to enhance pipeline performance and reliability.
Data Lake:
Storing and querying vast amounts of data for data science use cases with high performance and scalable data pipelines.
Cloud Data Warehouse:
A centralized, instantly queryable data source with virtually limitless storage capacity and high user concurrency.
Data Applications:
Developing applications with boundless scalability and parallelism, devoid of DevOps management burdens.
Data Sharing:
Secure data exchange within and outside the enterprise without data replication.
Features
- Independent scaling of storage and computing power
- Fully managed cloud platform with multi-cloud support
- Global data sharing without replication
- Secure data management through robust security features
- Extensive connectors and data and AI applications
Ready for more?
Let's talk about ideas, challenges, needs, and solutions.
Anja Schröder
Senior Consultant
anja.schroeder@turbinekreuzberg.com
+49 151 52098927