This content originally appeared on DEV Community and was authored by Danny Chan
Data Examples:
Financial industry: customer records, orders, inventory, trades, transactions, quotations
Geospatial coordinates, product details and pricing
Time series measurements, sensor readings, click-streams, social feeds, text descriptions
Retrieve approximate nearest neighbors between vectors (for machine learning)
Retrieving specific records, updating data, sophisticated aggregations, transformations for analysis
MongoDB Flexible Document Data Model:
Ideal for innovation, objects in code, intuitive and easy to use
Supports new data types and application features
MongoDB Query API:
Intuitive way to handle complex data workloads
Handle any data structure, support any data type (key-value, graph, geospatial, time series, objects)- Query arrays, nested documents
- Support transactional, search, and analytical queries
- Full-text search, analyzing data
Optimize Queries with Many Index Types:
- Generate queries, build aggregation pipelines
Query geospatial data easily
Join and blend multiple collections
Aggregation pipeline to build complex transformations
Full-Text Search:
- No need for additional infrastructure
Atlas Data Federation:
Query across databases
Change Streams:
- Real-time, event-driven triggers from database changes
Financial Industry Use Case:
AccuHit: Leveraging proprietary data to enhance customer lifetime value- Transformation and MarTech: Need for Know Your Customer (KYC) and insights into customer preferences (transactions)
Challenges:
- Diverse and flexible data requirements
- Add fields or label consumers
- Growing data volume, more maintenance workload
Solution:
MongoDB Atlas: Cloud-native document database, NoSQL, multi-cloud, secure- Flexible to adjust and expand database structure
- Customize fields
Security:
Data encryption, identity authentication, access control- Secure during transmission, prevent unauthorized access
- Built-in monitoring, system alerts (suspicious activities, anomalies, potential risks)
Restore backup data (keep reputation, business operations)
Reference:
AccuHit Introduces MongoDB Atlas to Drive Transformation and Enhance Global Competitiveness in the MarTech Industry
https://www.youtube.com/watch?v=1Ks8R-SNFTQ
https://www.mongodb.com/customers/accuhit
Editor
Danny Chan, specialty of FSI and Serverless
Kenny Chan, specialty of FSI and Machine Learning
This content originally appeared on DEV Community and was authored by Danny Chan