Description
A warm welcome to the MongoDB course by Uplatz. MongoDB is a very popular NoSQL database that is fast and scalable. When scalability and speed are required, this database shines. It is a document database which imposes very little and has drivers for many programming languages. MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. Uplatz provides practical training on MongoDB with focus on real-world scenarios and examples. This MongoDB training course will get you familiar with this unique database and arm you with the essential skills to start using mongo to power your software application. This course will teach you how to get mongo running, manipulate and query data, index for speed, and arm you with the essential skills required to start using Mongo. As table-based databases struggle to cope with an ever-growing variety of data, this MongoDB training course will show you how its document-oriented nature will allow you to quickly build highly scalable applications. 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. This MongoDB course is designed to give delegates experience of installing and using the MongoDB database. It introduces delegates to the concept of a document-oriented database, then shows how to set up MongoDB for use. Delegates use the built-in shell and various APIs to build a database access application and manipulate data. We also investigate optimising queries using indexes and aggregating data with MongoDB functions. The course ends with some popular interview questions that you will face in a MongoDB database developer/architect/DBA job role. MongoDB Course CurriculumIntroduction to NoSQL Architecture with MongoDBWhat Is MongoDB?Downloading the required SoftwareInstallation and ConfigurationMongoDB AdvantagesMongoDB Data ModellingMongoDB Tools, Collection and DocumentsConfiguration FilesTouring the File StructureSecuring the InstallationCRUD and the MongoDB ShellIntroduction to CRUDIntroduction to the MongoDB APICreating a Database, Collection and DocumentsData Modelling and Schema DesignMongoDB Database ReferencesModel Tree StructuresMongoDB Analyzing QueriesMongoDB Atomic OperationsMongoDB Map ReduceMongoDB Text SearchMongoDB Regular ExpressionMongoDB Capped CollectionsData StorageWorking with DatatypesCollectionsDocument DatatypesCreating id FieldsQuerying DataDatabases and CollectionsQuerying CollectionsWorking with OperatorsReferencing a DatabaseQuerying DatesManipulating DataInserting Data into CollectionsUpdatesDeletesAtomic OperationsRemoving DataCapped CollectionsHigh Performance OptionsCreating IndexesManipulating Index BehaviourIndex PropertiesSpecialised Index TypesReplicationShardingAggregation FrameworkAggregating ResultsSingle Purpose FunctionsThe Aggregation PipelineDate Aggregation OperatorsIndexingIndexing and AggregationIndexing, query profiling and the query optimizerGeospatial IndexesIndex types, Index PropertiesMongoDB Advanced IndexingMongoDB Indexing LimitationsAggregation IntroductionReplicationReplication ConceptFailover & RecoveryAdministrationMongoDB Deployment and Cluster setupMongoDB GridFSTrident SpoutWorking with Replica SetsMongoDB ShardingMongoDB Create BackupUsing an APIIntroducing DriversJavaPHPRubyPythonMongoDB Course ObjectivesDevelop highly scalable and cost-efficient applications with MongoDBBuild efficient MongoDB data models for enterprise-scale applicationsEnhance performance with indexing and shardingManage consistency with write concern and read preferenceProcess data and compute results with aggregation pipelines and MapReduceBy the end of the MongoDB training, the students will be able to: Install and setup the MongoDB databaseUse the MongoDB shell to access the databaseCreate, retrieve, update and delete dataUse aggregation queriesAppreciate the APIs used to interface with MongoDBUnderstand the document based structure of the databaseUse an API to develop applicationsOptimise queries with indexesDocument based data modellingCreate document collectionsCRUD operations with the Mongo shellAggregation pipelinesMongoDB transactionsMongoDB access using programming languagesCreate indexes
