{"id":14622,"date":"2022-12-29T08:24:44","date_gmt":"2022-12-29T07:24:44","guid":{"rendered":"https:\/\/www.itta.net\/formations\/introduction-to-hadoop-development\/"},"modified":"2025-08-20T08:32:20","modified_gmt":"2025-08-20T06:32:20","slug":"introduction-to-hadoop-development","status":"publish","type":"formations","link":"https:\/\/www.itta.net\/en\/trainings\/development\/database-design-and-development\/introduction-to-hadoop-development\/","title":{"rendered":"Introduction to Hadoop Development"},"content":{"rendered":"<p data-start=\"94\" data-end=\"501\">Hadoop training \u201cIntroduction to Hadoop Development\u201d is designed for professionals who want to understand and master the fundamentals of Big Data. In today\u2019s context, where data has become a strategic asset, knowing how to process massive volumes of information is essential. This Hadoop course offers a clear, step-by-step, and practical approach to entering the world of Hadoop and its key components.<\/p>\n<h3 data-start=\"503\" data-end=\"551\">A Hadoop training tailored to Big Data needs<\/h3>\n<p data-start=\"553\" data-end=\"898\">The program covers the complete Hadoop ecosystem. Participants will discover the role of HDFS and MapReduce, and then learn how to use essential tools such as Pig, Hive, Flume, Sqoop, and YARN. The goal is to provide a practical and operational perspective, helping learners understand how to set up and manage an efficient Hadoop environment.<\/p>\n","protected":false},"featured_media":0,"parent":0,"menu_order":0,"template":"","editeurs":[1510,1503],"domaine":[2827,1262],"class_list":["post-14622","formations","type-formations","status-publish","hentry","editeurs-hadoop-open-source","editeurs-open-source","domaine-database-design-and-development","domaine-development"],"acf":{"reference":"HDP-01","duree_nombre":3,"duree_unite":"jour","prix_virtuel":2150,"prix_presentiel":2300,"prix_blended":"","prix_elearning":"","views":1790,"niveau":["Fondamental"],"role":"","certifiant":"","pdus":"","lieux":["Gen\u00e8ve","Lausanne"],"formats_dapprentissage":["presentiel","virtuel"],"examen_inclus":"Non certifiant","garanti":[""],"financement":["Temptraining"],"description_temptraining":"","description_caf":"","description_title":"Hadoop Training","objectifs":"<ul>\r\n \t<li>Learn the Hadoop Architecture and Hadoop basics for beginners<\/li>\r\n \t<li>Learn what is Hadoop, HDFS and MapReduce framework<\/li>\r\n \t<li>Write MapReduce programs and deploy Hadoop clusters<\/li>\r\n \t<li>Develop applications for Big Data using Hadoop Technology<\/li>\r\n \t<li>Develop YARN programs on the Hadoop 2.X version<\/li>\r\n \t<li>Work on Big Data analytics using Hive, Pig and YARN<\/li>\r\n \t<li>Integrate MapReduce and HBase to do advanced usage and Indexing<\/li>\r\n \t<li>Learn fundamentals of Spark framework and its working<\/li>\r\n \t<li>Understand RDD in Apache Spark<\/li>\r\n \t<li>Learn Hadoop development best practices<\/li>\r\n \t<li>Job scheduling using Oozie<\/li>\r\n<\/ul>","connaissances":"<ul>\r\n \t<li>No prerequisites<\/li>\r\n<\/ul>","profils_participants":"<ul>\r\n \t<li>Software developers, analytics, BI, ETL, and data warehousing professionals<\/li>\r\n \t<li>Big Data Hadoop developers, architects and testing personnel<\/li>\r\n<\/ul>","examen":"","documentation":"<ul>\r\n \t<li><span class=\"ui-provider bjg bjh c d e f g h i j k l m n o p q r s t bji bjj w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">Digital courseware included<\/span><\/li>\r\n<\/ul>","lab__exercices":"<ul>\r\n \t<li>Working with HDFS<\/li>\r\n \t<li>Writing WordCount Program<\/li>\r\n \t<li>Writing custom partitioner<\/li>\r\n \t<li>Mapreduce with Combiner<\/li>\r\n \t<li>Map Side Join<\/li>\r\n \t<li>Reduce Side Joins<\/li>\r\n \t<li>Unit Testing Mapreduce<\/li>\r\n \t<li>Running Mapreduce in Local Job Runner Mode<\/li>\r\n<\/ul>","contenu_cours":"Module 1: Introduction to Big Data &amp; Hadoop and its Ecosystem, Map Reduce and HDFS\r\n\r\nModule 2: Hadoop Installation &amp; setup\r\n\r\nModule 3: Deep Dive in Mapreduce\r\n\r\nModule 4: Graph Problem Solving\r\n\r\nModule 5: Detailed understanding of Pig\r\n\r\nModule 6: Detailed understanding of Hive\r\n\r\nModule 7: (AVRO) Data Formats\r\n\r\nModule 8: Introduction to Hbase architecture\r\n\r\nModule 9: Hadoop Cluster Setup and Running Map Reduce Jobs\r\n\r\nModule 10: Advance Mapreduce","cours_recommandes":"","infos_additionnelles":"<h3>The importance of Hadoop in the Big Data ecosystem<\/h3>\r\nHadoop training meets a real need of modern businesses. Big Data has become a strategic pillar for analysis and decision-making. Hadoop enables the storage and processing of massive volumes of data by leveraging the power of distributed computing. This open-source technology is used by major digital players, as well as companies of all sizes seeking to gain value from their data.\r\n\r\nThe Hadoop ecosystem is not limited to a single framework. It brings together different tools that interact to cover the entire data lifecycle. Understanding this overall architecture is essential for anyone who wants to become skilled in this field.\r\n<h3>The technical foundations to master<\/h3>\r\nHDFS is the core component. This distributed file system manages the storage of large amounts of data while ensuring fault tolerance and efficient distribution. The training details the role of each component and illustrates their concrete use. MapReduce complements this foundation by providing a programming model suited to large-scale data processing. Writing MapReduce programs makes it possible to solve complex problems related to data analysis.\r\n\r\nLearners also explore Pig and Hive, two tools that simplify data manipulation. Pig offers an accessible scripting language, while Hive enables querying data with a language close to SQL. This dual approach makes Hadoop flexible and suitable for various profiles, whether developers or analysts.\r\n<h3>A gateway to practical applications<\/h3>\r\nHadoop training emphasizes real-world use cases. Professionals learn how to process data from multiple sources, transform it, and analyze it to extract value. HBase is introduced as a solution for managing large-scale unstructured data. Avro complements this approach by facilitating data exchange and serialization. These concepts are essential for working on production projects.\r\n\r\nLearners also study YARN, Hadoop\u2019s resource manager. This layer ensures better cluster utilization and allows different types of workloads to run. This aspect is crucial to understanding Hadoop\u2019s evolution into a more versatile platform.\r\n<h3>Integration with Spark and modern practices<\/h3>\r\nA significant part of this training focuses on Spark. Although it is a separate framework, Spark is often used alongside Hadoop. It allows in-memory processing, much faster than MapReduce. Mastering Spark fundamentals, especially RDDs, gives participants a strong advantage in modern Big Data environments.\r\n\r\nThe use of workflow schedulers such as Oozie is also covered. These tools allow automation and orchestration of tasks within a cluster. This skill is valuable in production environments where reliability and repeatability of processes are critical.\r\n<h3>Skills in high demand by companies<\/h3>\r\nOrganizations are increasingly looking for professionals capable of working with Hadoop. Digital transformation is pushing businesses to leverage their data to optimize processes. This Hadoop training prepares participants to face these challenges. By mastering the main ecosystem tools, they become immediately operational on real-world projects.\r\n\r\nAnother advantage of this program is the variety of roles it serves. Big Data developers learn advanced programming techniques. Analysts discover user-friendly tools to query data. Architects understand how to design scalable and resilient infrastructures. Hadoop\u2019s versatility makes it an essential skill in today\u2019s industry.\r\n<h3>FAQ<\/h3>\r\n<strong>What is the difference between Hadoop and Spark?<\/strong>\r\nSpark is an in-memory processing engine, faster for certain types of analysis. Hadoop remains essential for distributed storage through HDFS.\r\n\r\n<strong>Is Hadoop training suitable for beginners?<\/strong>\r\nYes, provided you have basic knowledge of programming and databases. The course is structured to help you progress step by step.\r\n\r\n<strong>Which industries use Hadoop?<\/strong>\r\nIt is widely used in finance, healthcare, e-commerce, logistics, and any industry managing large volumes of data.\r\n\r\n<strong>What are the benefits of HBase?<\/strong>\r\nHBase enables the storage of unstructured data and can handle millions of rows with high performance.\r\n\r\n<strong>What concrete benefits can I expect after the training?<\/strong>\r\nYou will be able to design and execute Big Data workflows, configure a cluster, and leverage the Hadoop ecosystem to meet real business needs.","inclus_dans_ce_cours_virtuel":"<ul>\r\n \t<li>Training provided by an industry expert<\/li>\r\n \t<li>Digital documentation and materials<\/li>\r\n \t<li>Achievement badge<\/li>\r\n<\/ul>","inclus_dans_ce_cours_presentiel":"<ul>\r\n \t<li>Training provided by an industry expert<\/li>\r\n \t<li>Digital documentation and materials<\/li>\r\n \t<li>Achievement badge<\/li>\r\n<\/ul>","inclus_dans_ce_cours_blended":"","inclus_dans_ce_cours_elearning":"","inclus_dans_ce_cours_surmesure":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Formation Introduction to Hadoop Development - ITTA<\/title>\n<meta name=\"description\" content=\"This Apache Hadoop Developer Certification Training will help you get a detailed idea about Big Data and Hadoop.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.itta.net\/en\/trainings\/development\/database-design-and-development\/introduction-to-hadoop-development\/\" \/>\n<meta name=\"twitter:label1\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/development\\\/database-design-and-development\\\/introduction-to-hadoop-development\\\/\",\"url\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/development\\\/database-design-and-development\\\/introduction-to-hadoop-development\\\/\",\"name\":\"Formation Introduction to Hadoop Development - ITTA\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.itta.net\\\/en\\\/#website\"},\"datePublished\":\"2022-12-29T07:24:44+00:00\",\"dateModified\":\"2025-08-20T06:32:20+00:00\",\"description\":\"This Apache Hadoop Developer Certification Training will help you get a detailed idea about Big Data and Hadoop.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/development\\\/database-design-and-development\\\/introduction-to-hadoop-development\\\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/development\\\/database-design-and-development\\\/introduction-to-hadoop-development\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/development\\\/database-design-and-development\\\/introduction-to-hadoop-development\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.itta.net\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Development\",\"item\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/development\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Database Management\",\"item\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/development\\\/database-design-and-development\\\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Introduction to Hadoop Development\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.itta.net\\\/en\\\/#website\",\"url\":\"https:\\\/\\\/www.itta.net\\\/en\\\/\",\"name\":\"ITTA\",\"description\":\"Formations &amp; 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