Part 3/14:
The Data Integration Journey: Why It Matters
The core motivation behind robust data integration lies in creating a unified, real-time data environment that fuels analytics, operations, and strategic decision-making. The market's movement towards building data lakes—consolidating diverse data sources into centralized repositories like S3, ADLs, Snowflake, or GCP—is driven by the need for accessible, reliable data for downstream applications.
Key Use Cases for Data Integration
- Data Lake Migration: Bringing multiple data sources into a data lake for holistic analytics, replacing legacy siloed sources. For example, moving from on-premise ERP, CRM, and transaction systems into cloud-based platforms.