We help you make the most of Snowflake’s Cloud Data Platform by integrating it with your tools and applications. This enables you to leverage Snowflake’s flexibility to deliver more meaningful data insights.
We are adept at building One-Tier, Two-Tier, and Three-Tier Data Warehouses. We will determine the best combination of Sourcing, Acquisition, Clean-up and Transformation Tools (ETL Tools), Datawarehouse Database, Meta Data, Query Tools, and Reporting/Analysis/Mining tools best suited for your objective.
Apart from capitalizing the cloud’s benefits, our comprehensive architecture solution will factor in centralized storage, scaling of computing and storage resources, near-unlimited concurrency, data loading and querying, BCP, a robust metadata service, and transparent storage-as-a-service.
Claimed often as the first step to a sound data strategy, our Data Ingestion Design will act as the backbone of your analytics architecture. This is critical, as downstream reporting and analytics systems rely on consistent and accessible data. Your business requirements will define whether the data ingestion could be batch or streaming, depending on various models or architectures.
This is primarily to migrate the data from your on-premise data warehouse and other cloud service providers to Snowflake Cloud Data. Our migration execution involves Migration Planning, Scripts Conversion, Data Migration, and Data Ingestion. Our deep expertise in cloud integration, data validation, reporting, and analytics helps us leverage the best tools for these processes.
Apart from moving the data to your new Snowflake data warehouse, we modify your existing ETL (Extract, Transform, Load) workflows and optimize them.
If you’re just getting started with Snowflake Data Cloud, we will provide the training and resources to help you materialize your data initiatives.