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