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
Danny Chan | Sciencx (2024-08-07T14:00:39+00:00) 🗒️ Get Started: MongoDB Flexible Document Data Model & Query Overview. Retrieved from https://www.scien.cx/2024/08/07/%f0%9f%97%92%ef%b8%8f-get-started-mongodb-flexible-document-data-model-query-overview/
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