Snowflake helps organizations of all sizes break free from the limitations of these conventional software solutions. A patented multi-cluster shared data architecture delivers a cloud data platform that easily and securely enables a wide variety of workloads—data warehouses, data lakes, data pipelines, and data exchanges—and many types of business intelligence, data science, and data analytics applications.
Built on versatile blob storage, the storage layer holds your data, tables, and query results. This scalable repository handles structured, semi-structured data and unstructured data. Snowflake can span multiple regions and clouds including AWS, Azure, and GCP.
The services layer includes the compute horsepower to process enormous quantities of data with maximum speed and efficiency, thanks to Snowflake’s unique architecture. You can specify the number of dedicated clusters you want to use for each workload or let the service scale automatically.
Snowflake enables a wide variety of workloads and applications, including data warehouses, data lakes, data pipelines, and data exchanges as well as business intelligence, data science, and data analytics applications.
With Snowflake’s Data Marketplace, 3rd party data sets from 1,000s of sources are easy to ingest and integrate with institutional data. The Data Marketplace puts Data decisionmakers one click away from customer behavior, market trends and industry analysis.
Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.
Being able to access all your organization’s data in the Snowflake Data Cloud fuels data consumption and decision-making, but only as long as your Data Cloud can keep up with changes to source system data. In this 3-minute video, Passerelle engineer Guillaume D. walks through how Data Rocket saves maintenance time and headache by dynamically adjusting target tables in the Snowflake Staging Layer when changes are made to the source systems table structure. The Dynamic Ingestion Framework is only one small component of Data Rocket. Ready to learn more? Request a complimentary consultation now.
Snowflake is a cornerstone technology in Data Rocket – an end-to-end data management solution that helps businesses modernize their data infrastructure to accelerate data decision-making. Data Rocket™ leverages Talend data integration to connect source systems to the Snowflake Data Cloud, where data is processed and transformed for visual analytics with PowerBI or Tableau. With optimized connections and workflows, Data Rocket™ offers immediate value that scales out with use. A pay-per-use subscription means businesses of any size can start utilizing Gartner-leading technologies that are revolutionizing the way Fortune 500 companies use data for decision-making.
Passerelle is a trusted integrator, bringing added value to Snowflake customers with solutions-based engineering. With Passerelle’s Data Rocket, customers can immediately see the value of the Snowflake Data Cloud, putting trustworthy data into the hands of decision-makers throughout an organization.
Andrew Fleming, Snowflake Partner Account Manager