Pillars of a modern data architecture
A modern data architecture is required to break down data silos so that data analytics, descriptive as well as predictive using artificial intelligence/machine learning (AI/ML), can be done with all the data aggregated into a central location. In order to meet all the business needs around deriving value out of the data in a fast and cost-effective manner, the architecture requires certain pillars to be in place, as follows:
- Scalable data lakes
- Purpose-built analytics services
- Unified data access, including seamless data movement
- Unified governance
- Performance and cost-effectiveness
The following diagram illustrates these pillars for you:
Figure 1.6 – Pillars of a modern data architecture on AWS
Let’s explore each of the pillars in more detail.
Scalable data lakes
A data lake is the foundation of a strong modern data platform. Data lakes get pretty big in a short...
