MongoDB Training in Beijing for Beginners | MongoDB, a NoSQL Database Training
MongoDB training is a LIVE Instructor led training delivered from January 6 - January 29 , 2020 for 16 hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session. Weekly Schedule 4 weeks | Monday, Wednesday very week 5:30 PM - 07:30 PM US Pacific time each day January 6 - January 29, 2020 US Pacific time Please check your local date and time for first session Features and Benefits 4 weeks, 8 sessions, 16 hours of total Instructor led LIVE training Training material, instructor handouts and access to useful resources on the cloud provided Practical Hands on Lab exercises provided Actual code and scripts provided Real-life Scenarios MongoDB Training Course Objectives You will learn to integrate MongoDB with - Jaspersoft, Pentaho, GUI Tool Robomongo You will develop an expertise in writing Java and Node JS applications using MongoDB You will troubleshoot performance issues. You will learn about MongoDB Aggregation framework You will learn about MongoDB Backup and Recovery options and strategies. You will learn how to set up a replicated cluster, Managing Replica Sets Who should take this training? Analysts Software Development Engineers Web Development professionals Those who want master MongoDB/NoSQL Project Managers and Trainers System administrators Research professionals Those seeking to build career in Big Data Career Course Outline 1. Getting Started with NoSQL and MongoDB Types of NoSQL Database NoSQL vs SQL Comparison ACID & BASE Property CAP Theorem Benefits of NoSQL databases Installation process Basic commands on Mongo shell Introduction to MongoDB Setup MongoDB environment Start and Stop the MongoDB process 2. MongoDB Installation Download MongoDB MSI Installer Package Installing MongoDB Basic MongoDB operations and commands Install MongoChef (MongoGUI) Setup Alias shortcuts for Mongo 3. MongoDB Architecture Document, Collection, Databases JSON and BSON Storage Engines (WiredTiger and MMAP) Read Path Journaling Write Path Working Set Capped Collection Oplog collection TTL Index GridFS 4. CRUD Operations MongoDB Data Types Inserting, Update, Deleting the documents Querying the documents Bulk insert operation Updating multiple documents Limiting documents Filtering documents Query optimization 5. Data Management and Administration Database status Troubleshooting issues Current Operations Rotating log files Users and Roles Copy and Clone database DB and Collection Stats Performance tuning Database sharding and profiling Explain plan Profiling Changing configuration files Upgrading the database
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