Do you Know?
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How to become immediately productive with MongoDB
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How to model your data in MongoDB for optimal performance
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How to analyze, optimize, and scale your MongoDB clusters
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How MongoDB integrates into the larger world of analytics and big data
MongoDB Development Services
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MongoDB Implementation
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Big Data
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Architecture Strategy & Design
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Business Analytics
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MongoDB Development
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Data Mining & Aggregation
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Business Intelligence
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MongoDB Optimization
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MongoDB Consulting
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MongoDB Integration
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MongoDB Configuration
Important Features Of MongoDB
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Cloud Automation:
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On-demand provisioning on AWS, Azure, or Google
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Single-node, Replica Set, or Shredded Cluster
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Seamless, zero-downtime scaling
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High availability via auto-failover
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Backup and Recovery:
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Audited and Free backups
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Easy Restoration of Data backups
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Flexible customization options
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Automated beacons for databases
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Data and Browser:
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Query editor
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Saved searches
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Tabular data table views
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JSON document editor
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Even though MongoDB doesn’t enforce it, it is vital to design a schema.
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Likewise, indexes have to be designed in conjunction with your schema and access patterns.
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Avoid large objects, and especially large arrays.
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Be careful with MongoDB’s settings, especially when it concerns security and durability.
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MongoDB doesn’t have a query optimizer, so you have to be very careful how you order the query operations.
Contact us
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Phone:
India: (+91) 7292 00 7989
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