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