Operational Data Layer (ODL) Benefit:
๐ Single Source of Truth: Provides a unified data repository for the organization.
๐ Real-Time Analytics: Enables real-time data analysis and decision-making.
๐ Gradual Refactoring: Allows incremental data model changes without disrupting existing systems.
๐ก๏ธ Minimizes Disruption: Isolates changes, reducing impact on production systems.
๐ Isolated from Raw Customer Data: Separates sensitive data from operational data.
๐ Fulfill GDPR: Ensures compliance with the General Data Protection Regulation.
๐ Fulfill PII: Manages personally identifiable information securely.
What an Operational Data Layer (ODL) Can Do? ๐ค
๐พ Change Data Capture (CDC): Capture changes to the data in real-time or near-real-time, allowing for efficient updates and synchronization between different systems.
๐ฎ Remove Useless Data: Help identify and remove irrelevant or redundant data, optimizing storage and processing resources.
๐ Read-Heavy Operations for Analytics, Historical Data: Serve as a dedicated layer for analytical and historical data, allowing for efficient and high-performance read operations to support advanced analytics and reporting.
๐ Add Metadata to Record: Enrich the data with additional metadata, such as timestamps, source information, or data quality metrics, to provide more context and enhance the overall data quality.
๐ Merge Data to Single Customer View for Advanced Analytics: Consolidate and integrate data from multiple sources to create a unified, 360-degree view of the customer, enabling more advanced analytics and personalized experiences.
๐ณ Determine Spending on Each Category: Analyze and categorize customer spending patterns, allowing businesses to better understand their customers' behaviors and preferences.
๐ฐ๏ธ Real-Time View: Reduced application complexity - read & write operations together.
๐ซ Delta Load Mechanism: Identify and load only the changes or "deltas" in the data, instead of re-loading the entire dataset, making the data integration process more efficient.
MongoDB App Services: ๐
๐ Atlas Device Sync: Synchronize data between client apps and MongoDB Atlas, enabling offline-first mobile and web applications.
โก Serverless Cloud Functions: Run custom server-side logic in the cloud without managing any infrastructure.
๐ Declarative Access Rules: Define fine-grained access controls for your data, ensuring secure data access.
๐ Flexible Data API: Efficiently query, filter, and manipulate your MongoDB Atlas data through a RESTful interface.
๐ GraphQL API: Fetch and manipulate data efficiently using a powerful query language and runtime.
MongoDB App Services Advantage: ๐ช
- Write & host an application in a fully managed cloud environment
- Bring products to market faster
- Control data access using rules: existing authentication systems
- Enrich data for application requirement
Operational Data Layer Real-World Use Case: ๐
Situation: Cloud-based HR and financial solutions
Before: ๐ธ Landing pages required 15 or more expensive queries to present a single view to the customer of their personal accounts, savings, mortgages.
After: ๐ฐ Serve single query by ODL, cut cost, fulfill PSD2 payments services.
Advantage: โฑ๏ธ Save administration operation time.
Editor
Danny Chan, specialty of FSI and Serverless
Kenny Chan, specialty of FSI and Machine Learning
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