數據分析 Journey Phase 2
Why a Modern 數據 Platform is needed?
- Make your data infrastructures modularization (Flexible & Scalable)
- Highly customizable insightful data visualization (Dashboard that speeds up decisions)
- Acts as DaaS (數據-as-a-Service), should transparently orchestrate and automate the lifecycle, copy management, compliance, and governance of data across infrastructures, application types, formats, containers, locations, even SaaS.
- Collection of data via real-time data sources in addition to batch loads.
- 數據 can be generated from internal systems, cloud-based systems, along with any external data that is provided by partners and third parties.
- Providing analytics to traditional platforms such as data marts along with specialty databases such as graphing and mapping.
- Support for all types of users ranging from customers to data scientists.