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Table-based databases struggle to cope with an ever-growing variety of data, whereas the document-oriented nature of MongoDB allows developers to quickly build highly scalable applications. In this big data training course, you will gain the skills to develop, administer, secure, and scale MongoDB-based applications, and acquire low-cost, data-driven applications with MongoDB as the back-end database.
Recognizing the need for NoSQL data stores
Focusing on MongoDB
Interacting with MongoDB
Surveying Cluster Topology
Dissecting MongoDB Storage Strategies
Storing Large Files with GridFS
Configuring Read and Write Consistency
Customizing Write Concern and Read Preference
Improving access speed with indexes
Considering the cost and benefit of indexing
Taking advantage of indexes
Managing collections with special indexes
Leveraging the different modes of the Aggregation Framework
Course Tuition Includes:
After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.
After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.
Free Course Exam
You can take your Learning Tree course exam on the last day of your course or online any time after class.
Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm