Today an enterprise data landscape comprises several data sources spread across their on-premises data centers, cloud, and edge. Most data users spend a considerable amount of time locating data, gain access to it, explore it, and consume it.
Data users can obtain different benefits from our solution:
- Data analysts, data scientists, and data engineers:
- High performance engine to access and explore data.
- In-place exploration of data without having to move data into a centralized store like data warehouse or data lake.
- Reduced dependency on data engineering or IT teams to provision data in a centralized repository.
- Simplified, single point of access for data users to connect to a variety of data sources.
- Data engineers:
- Create data products for frequently used data assets.
- Explore, sample and model data assets without creating data pipelines and moving data.
- Data Stewards, Data Governance admins, and Data Platform admins:
- Ability to define policies and ensure access control in a uniform manner.
- IT and Infrastructure teams
- Ability to provision access quickly to data without making their users wait until data pipelines are set up.
- Ability to track data usage and use this insight to consolidate the highest value, frequently used data into higher performance/lower latency data stores like data lakes.
- Flexibility to scale and isolate workloads (BI, ad hoc, AIML, operational) for optimal performance.