{"id":67526,"date":"2021-05-06T15:28:13","date_gmt":"2021-05-06T14:28:13","guid":{"rendered":"https:\/\/multi.datascientest.com\/?p=67526"},"modified":"2023-10-30T18:20:54","modified_gmt":"2023-10-30T17:20:54","slug":"mongodb-all-about-the-document-oriented-nosql-database","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/mongodb-all-about-the-document-oriented-nosql-database","title":{"rendered":"MongoDB : Learn all about the NoSQL database"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"67526\" class=\"elementor elementor-67526\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c1e9395 e-flex e-con-boxed e-con\" data-id=\"c1e9395\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a7180dc elementor-widget elementor-widget-heading\" data-id=\"a7180dc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">MongoDB is a document-oriented NoSQL database. It differs from relational databases in its flexibility and performance. Find out everything you need to know about this must-have tool for data engineering.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-071e32d elementor-widget elementor-widget-text-editor\" data-id=\"071e32d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">MongoDB is a document-oriented NoSQL database that appeared in the mid-2000s. It is used for storing massive volumes of data.<\/span><\/p><p><span style=\"font-weight: 400;\">Unlike a <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/sql-learn-all-about-the-programming-language-for-databases\">traditional SQL relational database<\/a><\/strong><\/span><span style=\"font-weight: 400;\">, MongoDB does not rely on tables and columns. <strong>Data is stored as collections and documents<\/strong>.<\/span><\/p><p><span style=\"font-weight: 400;\">Documents are value\/key pairs that serve as the basic data unit. Collections contain sets of documents and functions. They are the <\/span><b>equivalent of tables<\/b><span style=\"font-weight: 400;\"> in classical relational databases.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7d6b27f e-flex e-con-boxed e-con\" data-id=\"7d6b27f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-13102fb elementor-widget elementor-widget-heading\" data-id=\"13102fb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What's the main characteristics of MongoDB ? <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f46126b elementor-widget elementor-widget-text-editor\" data-id=\"f46126b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Each MongoDB database contains collections, themselves containing documents. <\/span><b>Each document is different<\/b><span style=\"font-weight: 400;\"> and can have a<\/span><b> variable number of fields<\/b><span style=\"font-weight: 400;\">. The size and content of each document also vary.<\/span><\/p><p><span style=\"font-weight: 400;\">The structure of a document corresponds to the way developers build their classes and objects in the programming language used. In general, <\/span><b>classes are not rows and columns<\/b><span style=\"font-weight: 400;\"> but have a <\/span><b>clear structure<\/b><span style=\"font-weight: 400;\"> consisting of value\/key pairs.<\/span><\/p><p><span style=\"font-weight: 400;\">Documents do not have a predefined schema and fields can be added at will. The data model available within MongoDB makes it easier to represent hierarchical relationships or other complex structures.<\/span><\/p><p><span style=\"font-weight: 400;\">Another major feature of MongoDB is <\/span><b>the elasticity of its environments<\/b><span style=\"font-weight: 400;\">. Many companies have clusters of over 100 nodes for databases containing millions of documents.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7cca5f1 e-flex e-con-boxed e-con\" data-id=\"7cca5f1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5e76da9 elementor-widget elementor-widget-video\" data-id=\"5e76da9\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=EE8ZTQxa0AM&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e674dd6 e-flex e-con-boxed e-con\" data-id=\"e674dd6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4e33230 elementor-widget elementor-widget-heading\" data-id=\"4e33230\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The MongoDB architecture and its components<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ff7b756 elementor-widget elementor-widget-text-editor\" data-id=\"ff7b756\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The MongoDB architecture is based on several main components. First, <\/span><b>\u201c_id\u201d<\/b><span style=\"font-weight: 400;\"> is a required field for each document. It<\/span><b> represents a unique value<\/b><span style=\"font-weight: 400;\"> and can be considered as the <\/span><b>main key of the document<\/b><span style=\"font-weight: 400;\"> to identify it within the collection.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">A document is the equivalent of a record in a traditional database. It consists of name and value fields. Each field is an <\/span><b>association between a name and a value<\/b><span style=\"font-weight: 400;\"> and is similar to a column in a relational database.<\/span><\/p><p><span style=\"font-weight: 400;\">A collection is a group of MongoDB documents, and corresponds to a table created with any other <\/span><b>Relational Database Management System<\/b><span style=\"font-weight: 400;\"> (RDMS) like Oracle or MS SQL on a relational database. It has no predefined structure.<\/span><\/p><p><span style=\"font-weight: 400;\">A <\/span><b>database is a container of collections<\/b><span style=\"font-weight: 400;\">, just as an RDMS is a container of tables for relational databases. Each has its own set of files on the file system. A MongoDB server <\/span><b>can store multiple databases<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Finally, <\/span><b>JavaScript Object Notation <\/b><span style=\"font-weight: 400;\">(JSON) is a plain text format for expressing structured data. It is <\/span><b>supported by many programming languages<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8661bbc e-flex e-con-boxed e-con\" data-id=\"8661bbc\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c7fa6bb elementor-widget elementor-widget-heading\" data-id=\"c7fa6bb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Why use MongoDB ? What are the advantages ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bffac6 elementor-widget elementor-widget-text-editor\" data-id=\"4bffac6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">MongoDB has <\/span><b>several major advantages<\/b><span style=\"font-weight: 400;\">. First of all, this document-oriented NoSQL database is <\/span><b>very flexible<\/b><span style=\"font-weight: 400;\"> and adapted to the concrete use cases of an enterprise.<\/span><\/p><p><span style=\"font-weight: 400;\">Ad hoc queries allow you to <\/span><b>find specific fields<\/b><span style=\"font-weight: 400;\"> within documents. It is also possible to create indexes to improve search performance. Any field can be indexed.<\/span><\/p><p><span style=\"font-weight: 400;\">Another advantage is the <\/span><b>ability to create \u201creplica sets\u201d<\/b><span style=\"font-weight: 400;\"> consisting of two or more MongoDB instances. Each member can act as a secondary or primary replica at any time.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8895507 elementor-widget elementor-widget-video\" data-id=\"8895507\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=0buKQHokLK8&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-15ee4f9 e-flex e-con-boxed e-con\" data-id=\"15ee4f9\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8e6ffe0 elementor-widget elementor-widget-text-editor\" data-id=\"8e6ffe0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The primary replica is the main server, which interacts with the client and <\/span><b>performs all read and write operations<\/b><span style=\"font-weight: 400;\">. The secondary replicas <\/span><b>keep a copy of the data<\/b><span style=\"font-weight: 400;\">. Thus, in case of failure of the primary replica, the switchover to the secondary is done automatically. This system <\/span><b>guarantees high availability<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Finally, the concept of sharding allows for horizontal scaling by distributing the data among multiple MongoDB instances. The database <\/span><b>can be run on multiple servers<\/b><span style=\"font-weight: 400;\">, and this allows load balancing or duplicating data to keep the system functional in case of hardware failure.<\/span><\/p><p><span style=\"font-weight: 400;\">Because of these many advantages, MongoDB is now a <\/span><b>widely used tool<\/b><span style=\"font-weight: 400;\"> in the field of data engineering. It is a <\/span><b>must-have<\/b> <a href=\"https:\/\/datascientest.com\/en\/data-engineer-course\"><strong><span style=\"text-decoration: underline;\">solution for Data Engineers<\/span><\/strong><span style=\"font-weight: 400;\">.<\/span><\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f7cb816 e-flex e-con-boxed e-con\" data-id=\"f7cb816\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f27f161 elementor-widget elementor-widget-heading\" data-id=\"f27f161\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">MongoDB vs RDBMS: What are the differences ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-399a367 elementor-widget elementor-widget-text-editor\" data-id=\"399a367\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">There are several major differences between MongoDB and RDBMS (<\/span><b>Relational DataBase Management System<\/b><span style=\"font-weight: 400;\">). As mentioned before, <strong>data is not stored in tables<\/strong> but in document collections. These documents <\/span><b>replace the rows of RDBMS<\/b><span style=\"font-weight: 400;\">. They contain fields of value\/key pairs, which themselves replace columns.<\/span><\/p><p><span style=\"font-weight: 400;\">Furthermore, data integrity is not a constraint on MongoDB. <\/span><b>Data does not need to be \u201cnormalized\u201d before use<\/b><span style=\"font-weight: 400;\"> like on an RDBMS. This is a real advantage, as the normalization constraint can degrade performance as the database grows.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-de36074 e-flex e-con-boxed e-con\" data-id=\"de36074\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3caa4ed elementor-widget elementor-widget-video\" data-id=\"3caa4ed\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=KG-mqHoXOXY&amp;feature=emb_logo&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6f6f3ec e-flex e-con-boxed e-con\" data-id=\"6f6f3ec\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3b8df6c elementor-widget elementor-widget-heading\" data-id=\"3b8df6c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data modeling on MongoDB<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9a14699 elementor-widget elementor-widget-text-editor\" data-id=\"9a14699\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Unlike SQL databases, MongoDB does not involve any constraints in terms of document structure. <\/span><b>Data has no preconceived schema<\/b><span style=\"font-weight: 400;\">, and it is this flexibility that makes MongoDB so powerful and efficient.<\/span><\/p><p><span style=\"font-weight: 400;\">The data modeling and document structure must only meet the needs of the user. It is important to consider the needs of the application, and therefore what data and data types will be needed.<\/span><\/p><p><span style=\"font-weight: 400;\">If many queries are to be expected,<\/span><b> it is relevant to use indexes<\/b><span style=\"font-weight: 400;\"> in the data model to improve the efficiency of queries. Finally, if there are frequent additions, updates and deletions of data, indexes and the sharding system should be used to<\/span><b> improve the overall efficiency<\/b><span style=\"font-weight: 400;\"> of the environment.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-07e4d26 e-flex e-con-boxed e-con\" data-id=\"07e4d26\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1d91db3 elementor-widget elementor-widget-heading\" data-id=\"1d91db3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Why and how to learn to use MongoDB ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f54c1fd elementor-widget elementor-widget-text-editor\" data-id=\"f54c1fd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">MongoDB is one of the indispensable tools for data engineering. To learn how to use it, you can turn to <\/span><strong><span style=\"text-decoration: underline;\"><a href=\"https:\/\/datascientest.com\/en\/data-courses\">DataScientest training courses<\/a><\/span><\/strong><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><b>Data Engineer training<\/b> <span style=\"font-weight: 400;\">will teach you the job of a data engineer, and in particular how to build data acquisition and automatic processing pipelines. In the \u201cdatabase\u201d module, you will learn to use MongoDB, but also Cassandra, Elastic Search, Neo4J and the <\/span><a href=\"https:\/\/datascientest.com\/en\/sql-learn-all-about-the-programming-language-for-databases\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>SQL language<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">If you are already a Data Scientist and want to learn how to put Machine Learning models into production, you can <\/span><a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>turn to our Machine Learning Engineer training<\/strong><\/span>.<\/span><\/a><span style=\"font-weight: 400;\"> MongoDB is one of the tools you will learn to use.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4a0a77d e-flex e-con-boxed e-con\" data-id=\"4a0a77d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b8d6692 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"b8d6692\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover our Data Engineer training<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e6a208c e-flex e-con-boxed e-con\" data-id=\"e6a208c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eb2c6cc elementor-widget elementor-widget-html\" data-id=\"eb2c6cc\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Why and how to learn to use MongoDB ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"MongoDB is one of the indispensable tools for data engineering. 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