MongoDB Online Training Institute in Hyderabad India

MongoDB Online Training Institute in Hyderabad India

We are providing MongoDB Online Training in Ameerpet Hyderabad. We are one of best Institute to provide Best High Quality MongoDB online training all over India. The IT Professionals and Students from India and abroad who are unable to attend regular classes can attend our MongoDB online training from their home in their convenient timings. For more details on MongoDB Online Training please call to 9290971883 / 9247461324, or drop a mail to nakshatraonlinetraining@gmail.com  or Whatsapp to us on : 9290971883.

MongoDB Course Content

Course Duration : 25 to 30 Hrs

  • Intro to MongoDB
    • About This Course
  • Installation
    • Packaged Distributions
    • Package Content
    • Linux Service
    • File System Type
    • Disable Last Access Time
    • apt-get Install
    • apt-get Outcome
    • Install on Windows
    • Data Directory
    • File Permissions
    • Windows Service
    • Steps Review
    • Safe Stop (Linux)
    • shutdownServer()
    • Safe Kill
    • Dangerous Kill
    • Start/Stop Windows
    • Kill Danger (Windows)
    • Dirty Shutdown Recovery
    • Shutdown From Shell
  • Configuration
    • Introduction
    • Minimal Configuration
    • Storage Engines
    • Journal
    • Flush Interval
    • Directory Per DB
    • IP and Port
    • HTTP Interface
    • Upgrading Notes
  • Query Crash Course
    • Introduction
    • Save
    • Insert
    • Save Danger
    • Find
    • Update
    • Delete
    • BSON
    • ObjectID
    • Temporal, Ascending
    • Sort
    • Limit
    • Cursor
  • Data In, Data Out
    • Introduction
    • mongodump
    • simple dump
      • oplog
    • Housekeeping DBs
    • Credentials
    • File Access
    • Deprecated Direct File Access
    • mongorestore
      • drop
    • Restore Specific Collection
    • Target DB
      • oplogReplay
      • Practice!
      • mongoimport
        • upsert
        • upsertFields
      • CSV
        • fieldFile
      • mongoexport
      • Complex Documents
      • Selective Export
    • Indexing
      • Introduction
        • id Index
      • ensureIndex
      • Nested Documents
      • explain()
      • Sort
      • Multiple Fields
      • Sorting Direction
      • Multy-key
      • Yielding
      • Covering Index
      • Sparse Index
      • Unique
      • TTL Index
      • Rebuild & Compact
      • Good Index
      • Limitations
    • Replica Sets
      • Introduction
      • Capped Collection
      • Simple Replica Set
      • Reconfigure
      • Runtime Status
      • Elections
      • Quorum Tolerance
      • More Members
      • Failover
      • Recovery from No Quorum
      • Priority
      • Step Down
      • Freeze
      • Hidden
      • Network Partition
      • Chaining
      • Durability
      • Acknowledged write-concern
      • Journaled write-concern
      • Multi-member write-concerns
      • Timeouts
      • write-concern Demo
      • Timeout Demo
    • Sharding
      • Introduction
      • Sharding Concepts
      • Simplistic Topology
      • Using a Sharded Cluster
      • Production Topology
      • Picking a Shard Key
      • Shard Key Cardinality
      • Shard Key Evaluation
      • Key Choice Conclusion
      • Tag Aware Theory
      • Tag Aware Demo
      • Moving Chunks
      • Verifying Tag Aware Works
      • Caveats
    • Monitoring
      • Introduction
      • Log File
      • Setting Verbosity Configuration
      • Query Profiler
      • Querying Slow Queries
      • mongostat
      • mongotop
      • db.stats()
      • db.serverStatus()
      • MMS
    • Security
      • Introduction
      • Surface Area
      • SSL Support
      • Replica Set with SSL
      • Data File Protection
      • Authentication & Authorization
      • Roles
      • Creating a User
      • Logging In
      • User Authorization Summary
      • Intra Cluster Authentication
    • Miscellaneous
      • Introduction
      • Hardware Choices
      • CPU
      • Memory
      • Disk
      • Cloud
      • Storage Engines
      • wiredTiger
      • Directory for Indexes