Scattered and disparate data environments are the norm for most enterprise BI architectures. Customers seeking to move to a modern cloud data warehouse platform (like Snowflake) experience major difficulties due to business logic complexity, transformation logic handling, lack of automated exception processing and other data structuring challenges. Zetaris simplifies this by providing a single location for connecting, modelling and querying all the data. Our Intelligent Semantic Engine and Business Data Fabric builder enables the organisation and preparation of data in different places whilst supporting complex query workloads in real-time. In turn, this makes migration to Snowflake a non-disruptive business agenda.
Autonomous Snowflake Infrastructure Management
For customers desiring to change to a hybrid-cloud (data centre connected to a cloud data warehouse – Snowflake) or multi-cloud, our analytical data virtualisation technology automates and simplifies the migration journey whilst supporting a “lights on” business continuity scenario during the project. Data in different places can be accessed, modelled and queried to support the present tools and users guided and supported through automation. Business rules and logic can be extracted and stored in an infrastructure independent mode in-order that the target database (Snowflake) remains pliable and adaptive to the varying nature of the project.
Zetaris makes Snowflake multi-cloud query ready by:
Get rid of old school ETL to modern Data Fabric migration of data
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