You know you could transform your business with data, but if you don’t go right way at the first time, you will take more time in the future. Moreover, it is in reality:

Changing data

Changing data characteristics from relational data with highly modeled schema of fixed size and speed to include non-relational data with schema agility that stream in real-time at high volumes.

Deployment and costs

From specialized on-premises, hybrid or cloud only to have good solution for your analytics. How to choose right architecture at the first stage.


The result needs to support a growing variety of skills and roles – from end users who primarily create operational reporting (business analysts) to end users driving bottoms-up experimentation and analytics (data scientists). Increased demand from end users for mixed data management and access strategies that matches the growing variety of skills and roles, and the changing concept of the data warehouse and analytics data management.


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