{"id":174891,"date":"2023-12-09T17:47:23","date_gmt":"2023-12-09T16:47:23","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=174891"},"modified":"2023-12-09T17:59:53","modified_gmt":"2023-12-09T16:59:53","slug":"apache-storm-explanations-and-use-cases","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/apache-storm-explanations-and-use-cases","title":{"rendered":"Apache Storm: Explanations and Use cases"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"174891\" class=\"elementor elementor-174891\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2f9a646 e-flex e-con-boxed e-con\" data-id=\"2f9a646\" 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-93c5830 elementor-widget elementor-widget-heading\" data-id=\"93c5830\" 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><h3 class=\"elementor-heading-title elementor-size-default\">What is Apache Storm?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b6fdfe3 elementor-widget elementor-widget-text-editor\" data-id=\"b6fdfe3\" 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><strong>Apache Storm<\/strong> is an open-source distributed real-time data flow processing system, developed mainly in Clojure. It enables <a href=\"https:\/\/datascientest.com\/en\/dataflow-power-bi-everything-you-need-to-know-about-the-self-service-etl-tool\">continuous data flow management.<\/a> Today, Storm is widely used in social networking, online gaming and industrial monitoring systems.<\/p><p><strong>Apache Storm<\/strong> was originally developed by Nathan Marz for the startup Backtype, which was subsequently acquired by Twitter.<\/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-a92c3d1 elementor-widget elementor-widget-text-editor\" data-id=\"a92c3d1\" 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><strong>Storm<\/strong> makes a point of keeping things as simple as possible, allowing developers to create topologies using any programming language. In fact, development in Storm involves the manipulation of tuples (as a reminder, a tuple is a named list of values).<\/p><p>These tuples can contain any type of object, and even if <strong>Apache Storm<\/strong> doesn&#8217;t know the type, it&#8217;s easy to set up a serializer.<\/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-01a7264 e-flex e-con-boxed e-con\" data-id=\"01a7264\" 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-c5b1395 elementor-widget elementor-widget-heading\" data-id=\"c5b1395\" 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\">How is Apache Storm structured? <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ef49e8e elementor-widget elementor-widget-text-editor\" data-id=\"ef49e8e\" 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>Apache Storm uses a &#8220;master-slave&#8221; architecture with the following components:<\/p><ul><li><strong>Nimbus:<\/strong> This is the master node, responsible for distributing code among supervisors, <a href=\"https:\/\/datascientest.com\/en\/datasets-top-5-places-to-find-quality-datasets\">allocating input data sets<\/a> to machines for processing and monitoring for failures.<\/li><li><strong>Zookeeper:<\/strong> Coordinates and manages data distribution processes.<\/li><li><strong>Supervisors:<\/strong> Services running on each worker node, which manage work processes and monitor their execution.<\/li><li><strong>Workers<\/strong>: Are the multiple or single processes on each node started by supervisors. They perform <a href=\"https:\/\/datascientest.com\/en\/datamart-key-characteristics-and-challenges\">parallel data input management<\/a> and send data to a database or file system.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cd6b55c elementor-widget elementor-widget-image\" data-id=\"cd6b55c\" data-element_type=\"widget\" data-widget_type=\"image.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-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.spritle.com\/\">\n\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/image3.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\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-f14e38d e-flex e-con-boxed e-con\" data-id=\"f14e38d\" 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-a885550 elementor-widget elementor-widget-heading\" data-id=\"a885550\" 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\">Tool layout<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bac8d0 elementor-widget elementor-widget-text-editor\" data-id=\"4bac8d0\" 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>The topology in Storm uses a system of <strong>directed acyclic graphs (DAG).<\/strong> It works in a similar way to MapReduce <a href=\"https:\/\/datascientest.com\/en\/hadoop-what-is-it\">jobs in Hadoop<\/a>. The topology is made up of the following elements:<\/p><ul><li><strong>Spouts:<\/strong> These are the entry point for data flows. They connect to the data source, retrieve the data continuously, transform the information into a stream of tuples and send these results to the bolts.<\/li><li><strong>Bolts:<\/strong> store the processing logic. They perform various functions (such as aggregation, join, filter, etc.). Output creates new streams for further processing via additional bolts, or stores data in a database or file system.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f68e122 elementor-widget elementor-widget-image\" data-id=\"f68e122\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/phoenixnap.com\/\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"457\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/09\/cloud_ia_datascientest_1.jpg\" class=\"attachment-full size-full wp-image-189293\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/09\/cloud_ia_datascientest_1.jpg 800w, https:\/\/datascientest.com\/en\/files\/2024\/09\/cloud_ia_datascientest_1-300x171.jpg 300w, https:\/\/datascientest.com\/en\/files\/2024\/09\/cloud_ia_datascientest_1-768x439.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-487fbbe elementor-widget elementor-widget-text-editor\" data-id=\"487fbbe\" 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>This diagram shows that Storm&#8217;s topology is a sequence of processes, with bolts and spouts distributed in such a way as to achieve very rapid results.<\/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-d78fead elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"d78fead\" 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-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\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\">Apprendre \u00e0 ma\u00eetriser Apache Storm avec DataScientest<\/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-5895c10 e-flex e-con-boxed e-con\" data-id=\"5895c10\" 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-d45d026 elementor-widget elementor-widget-heading\" data-id=\"d45d026\" 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 is the Parallelism Model?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0f4caf6 elementor-widget elementor-widget-text-editor\" data-id=\"0f4caf6\" 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><strong>Apache Storm<\/strong> uses a parallelism model based on tasks and bolts. Data is processed by a set of parallel tasks that are linked together using bolts. Each task processes a subset of the input data, and bolts connect the tasks together to create data streams. This enables Storm to process data in a distributed way, boosting performance by using multiple machines to process data simultaneously.<\/p><p><strong>DRPCs (Distributed Remote Procedure Calls)<\/strong> enable the parallelism of very intensive, high-consumption calculations.<\/p><p>They behave more or less like a spout, except that the data sources are the arguments of the function, which returns a response in the form of text or json for each of these streams.<\/p><p>They are useful for time-consuming calculations, to reduce response times.<\/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-8656426 e-flex e-con-boxed e-con\" data-id=\"8656426\" 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-adda93b elementor-widget elementor-widget-heading\" data-id=\"adda93b\" 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\">Fault tolerance<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d7d608 elementor-widget elementor-widget-text-editor\" data-id=\"1d7d608\" 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>When <a href=\"https:\/\/datascientest.com\/en\/big-data-training-everything-you-need-to-know\">managing Big Data processing,<\/a> information overload can lead to errors or breakdowns on certain clusters. So it&#8217;s vital that Storm can continue to operate despite a failure.<\/p><p>So when a worker fails, Storm automatically restarts it. If an entire node fails, Storm restarts tasks that were running on other workers.<\/p><p>Similarly, when the Nimbus or supervisors fail, they too are automatically restarted. It&#8217;s even possible to force a process to stop (e.g. with taskkill -9) without affecting clusters or topologies.<\/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-53fc455 e-flex e-con-boxed e-con\" data-id=\"53fc455\" 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-0faf2a1 elementor-widget elementor-widget-heading\" data-id=\"0faf2a1\" 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 different levels of cover<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f025fc3 elementor-widget elementor-widget-text-editor\" data-id=\"f025fc3\" 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>Storm offers several warranty levels for data stream processing:<\/p><ul><li><strong>At most once:<\/strong> This is the default guarantee level. It guarantees that each tuple is processed at least once.<\/li><li><strong>At least once:<\/strong> This guarantees that each tuple will be processed at least once. It may result in some tuples being processed twice.<\/li><li><strong>Exactly once:<\/strong> This guarantee means that each tuple will be processed exactly once. This is the highest guarantee level, but also the most complicated to implement, and requires third-party libraries.<\/li><\/ul>\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-e6e1a2e e-flex e-con-boxed e-con\" data-id=\"e6e1a2e\" 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-f824bab elementor-widget elementor-widget-heading\" data-id=\"f824bab\" 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\">Trident<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6859a61 elementor-widget elementor-widget-text-editor\" data-id=\"6859a61\" 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><strong>Trident<\/strong> is a high-level abstraction that <a href=\"https:\/\/datascientest.com\/en\/api-integration-in-python-databases-made-easy\">provides an API for real-time data transformation and aggregation<\/a>. It allows developers to focus on business logic rather than the implementation details of processing tasks. It offers state management, facilitating in-memory data management for long-term processing tasks, and supports distributed transactions to guarantee data reliability.<\/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-ea51e83 e-flex e-con-boxed e-con\" data-id=\"ea51e83\" 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-6a0f569 elementor-widget elementor-widget-heading\" data-id=\"6a0f569\" 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\">Apache Storm vs Spark<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-000b278 elementor-widget elementor-widget-text-editor\" data-id=\"000b278\" 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>Although these two technologies have different uses, they are nevertheless both widely used in Big Data management. The following table shows how these two technologies compare.<\/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-f2cae53 elementor-widget__width-initial elementor-widget elementor-widget-html\" data-id=\"f2cae53\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\n.tg  {border-collapse:collapse;border-spacing:0;}\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg .tg-0x09{background-color:#9b9b9b;text-align:left;vertical-align:top}\n.tg .tg-baqh{text-align:center;vertical-align:top}\n.tg .tg-9fd4{background-color:#9b9b9b;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-pykm{background-color:#9b9b9b;font-weight:bold;text-align:center;vertical-align:top}\n<\/style>\n<table class=\"tg\">\n<thead>\n  <tr>\n    <th class=\"tg-0x09\"><\/th>\n    <th class=\"tg-pykm\">Storm<\/th>\n    <th class=\"tg-pykm\">Spark<\/th>\n  <\/tr>\n<\/thead>\n<tbody>\n  <tr>\n    <td class=\"tg-9fd4\">Architecture<\/td>\n    <td class=\"tg-baqh\">Micro-batch<\/td>\n    <td class=\"tg-baqh\">Micro-batch\/batch<\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-9fd4\">Processing Type<\/td>\n    <td class=\"tg-baqh\">Real-time Streaming<\/td>\n    <td class=\"tg-baqh\">Real-time Streaming and Batch Processing<\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-9fd4\">Latency<\/td>\n    <td class=\"tg-baqh\">A few milliseconds<\/td>\n    <td class=\"tg-baqh\">A few seconds<\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-9fd4\">Scalability<\/td>\n    <td class=\"tg-baqh\">Thousands of nodes<\/td>\n    <td class=\"tg-baqh\">Tens of thousands of nodes<\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-9fd4\">Supported Languages<\/td>\n    <td class=\"tg-baqh\">No distinction<\/td>\n    <td class=\"tg-baqh\">Java, Scala, Python, R<\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-9fd4\">Usage<\/td>\n    <td class=\"tg-baqh\">Real-time Data Stream Processing<\/td>\n    <td class=\"tg-baqh\">Real-time Data Stream Processing and Batch Processing<\/td>\n  <\/tr>\n<\/tbody>\n<\/table>\n\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-5f0c074 e-flex e-con-boxed e-con\" data-id=\"5f0c074\" 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-0ca4b97 elementor-widget elementor-widget-heading\" data-id=\"0ca4b97\" 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\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-66f9c35 elementor-widget elementor-widget-text-editor\" data-id=\"66f9c35\" 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>In conclusion, Apache Storm is a distributed data stream processing system that enables large quantities of real-time data to be processed efficiently and reliably. With its flexible, scalable platform, Apache Storm has proved to be a popular choice for companies looking to process real-time data and make decisions accordingly.<\/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-99211be elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"99211be\" 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-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\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 training to master Apache Storm<\/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-7df9728 e-flex e-con-boxed e-con\" data-id=\"7df9728\" 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-1c41040 elementor-widget elementor-widget-html\" data-id=\"1c41040\" 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\": \"Qu\u2019est-ce que Apache Storm ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Apache Storm est un syst\u00e8me de traitement de flux de donn\u00e9es en temps r\u00e9el distribu\u00e9 open-source, et d\u00e9velopp\u00e9 principalement en Clojure. 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Apache Storm was originally developed by Nathan Marz for the startup Backtype, which was subsequently acquired [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":174892,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2424],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Apache Storm: Explanations and Use cases<\/title>\n<meta name=\"description\" content=\"Apache Storm is commonly used in industries where real-time data processing is critical, such as financial services, e-commerce, and IoT applications. 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