Mongo DB Training

Mongo DB

Overview – 
Mongo DB is a document-oriented NOSQL database used for high volume data storage. In this course you will learn how Mongo DB can be accessed and some of its important features like indexing, regular expression, sharing data, etc. Mongo DB is a database which came into light around the mid-2000s. It falls under the category of a NOSQL database.
Learning Objective:
 •        Understand Mongo as a data store
•        Be comfortable with Mongo’s query and update languages
•        Work with the common use-cases and architectures of Mongo
•        Use Mongo’s built-in JavaScript interpreter
•        Query Mongo using Mongo’s JSON-based query language
•        Index Mongo collections
•        Handle data with Mongo’s built-in Map Reduce capabilities.
•       Introduction to Mongo DB
•       Download and Install Mongo DB on Windows –
•       Mongo DB Create & Insert Database
•       Add Mongo DB Array using insert ()
•       Mongo DB Object ID ()
•       Mongo DB Query Document using find()
•       Mongo DB cursor
•       Mongo DB Query Modifications using limit (), sort()
•       Mongo DB Count() & remove() function
•       Mongo DB Update () Document
•       Mongo DB Indexing, Monitoring & Backup
•       How to Create User in Mongo DB & assign Roles
•       Mongo DB authentication with Kerberos
•       Mongo DB Replica Set
•       Mongo DB Shaded Cluster – Step by Step Implementation
•       Mongo DB Indexing – create Index()
•       Mongo DB Regular Expression (Regex) Tutorial
•       Mongo DB Java
•       Mongo DB Interview Questions & Answers
At the end of KeenSmartz training in Mongo DB developer and administrator, you will be able to:
•       Develop expertise in writing Java and Node JS applications using Mongo DB
•       Master the skills of Replication and Shading of data in Mongo DB to optimize
•       read/write performance
•       Perform installation, configuration, and maintenance of Mongo DB environment
•       Get hands-on experience in creating and managing different types of indexes in
•       Mongo DB for query execution
•       Proficiently store unstructured data in Mongo DB
•       Develop skill sets in processing huge amounts of data using Mongo DB tools
•       Gain proficiency in Mongo DB configuration, backup methods as well as monitoring and operational strategies
•       Acquire an in-depth understanding of managing DB Notes, Replica Sets & Master-Slave concepts