Data Examples:
- π° Financial industry: customer records, orders, inventory, trades, transactions, quotations
- π Geospatial coordinates, product details and pricing
- π Time series measurements, sensor readings, click-streams, social feeds, text descriptions
- π Retrieve approximate nearest neighbors between vectors (for machine learning)
- π Retrieving specific records, updating data, sophisticated aggregations, transformations for analysis
MongoDB Flexible Document Data Model:
- π Ideal for innovation, objects in code, intuitive and easy to use
- π Supports new data types and application features
MongoDB Query API:
- π€ΉββοΈ Intuitive way to handle complex data workloads
- π Handle any data structure, support any data type (key-value, graph, geospatial, time series, objects)
- π Query arrays, nested documents
- π Support transactional, search, and analytical queries
- π Full-text search, analyzing data
Optimize Queries with Many Index Types:
- π Generate queries, build aggregation pipelines
- π Query geospatial data easily
- π Join and blend multiple collections
- π§ Aggregation pipeline to build complex transformations
Full-Text Search:
- π No need for additional infrastructure
Atlas Data Federation:
- π Query across databases
Change Streams:
- π Real-time, event-driven triggers from database changes
Financial Industry Use Case:
- π― AccuHit: Leveraging proprietary data to enhance customer lifetime value
- π Transformation and MarTech: Need for Know Your Customer (KYC) and insights into customer preferences (transactions)
Challenges:
- π€ΉββοΈ Diverse and flexible data requirements
- π Add fields or label consumers
- π Growing data volume, more maintenance workload
Solution:
- π©οΈ MongoDB Atlas: Cloud-native document database, NoSQL, multi-cloud, secure
- π§ Flexible to adjust and expand database structure
- π Customize fields
Security:
- π Data encryption, identity authentication, access control
- π Secure during transmission, prevent unauthorized access
- π Built-in monitoring, system alerts (suspicious activities, anomalies, potential risks)
- πΎ 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
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