Online Big Data Hadoop Courses & Certifications

The amount of data produced every day in today's digital world has increased significantly as a result of social networking platforms, purchase transaction records, and cell phone GPS signals. This volume of big data requires analysis in order to provide everyone with precise services. Big Data is essential right now.

The Big Data Hadoop programming certification course equips students with the knowledge and abilities they need to properly handle enormous amounts of data. Students gain knowledge of the Hadoop ecosystem, which includes HDFS, MapReduce, YARN, and several other tools and technologies for distributed data processing and storage, through this comprehensive programme. 

With big data becoming a crucial component of contemporary enterprises, this course gives students the knowledge and skills necessary to manage, analyse, and derive insightful information from massive databases. Big Data Hadoop Programming training by Aptech Learning graduates will be well-equipped to handle big data difficulties and contribute to data-driven decision-making processes in a variety of sectors.

Also Read

• Big Data Hadoop Certification Courses
• Big Data Analytics Certification Courses
• Big Data Certification Courses

Business organizations now need expert big data professionals to understand customer behaviour out of the complex and unstructured data of pictures, posts, tweets, audio files, videos and satellite images. Edx here presents you with a foundational course to get started with big data and climb up the ladder of a career in the industry. Big Data, Hadoop, and Spark Basics is an introductory computer science course that provides an introductory understanding of big data and its tools. 

Big Data, Hadoop, and Spark Basics Certification, provided by edX, is a beginner-level programme offered by IBM. The online programmes will explore big data processing tools such as Apache Spark, Hive and Hadoop. Big Data, Hadoop, and Spark Basics Certification by IBM is a 6-week long programme that demands 2-3 hours per week from the learners to devote. The self-paced programme is a free certification programme that can be upgraded to the fullest mode by paying the fee. 

The Big Data Analytics using Hadoop certification training is an industry-oriented offered by NIELIT, Chandigarh. The course strives to deliver top-notch education with all-inclusive information about the domain of big data and its usage with the Hadoop ecosystem. Instructors will conduct live classes using presentations, live demonstrations, online interactions, and free cloud-based collaborative platforms.

The four-week Big Data Analytics using Hadoop online course introduces the Hadoop ecosystem’s concepts, PIG in the apache ecosystem, and how to use big data with them. Candidates will get familiar with big data-related technologies and their impact on cultural and technological industry-related changes across several industries. Some of the other topics covered under this course are YARN, big data integration, Apache HIVE, ETL tool, and Java + JDBC (HIVE) followed by a project.

The Big Data Analytics using the Hadoop program is appropriate for candidates who hold an undergraduate degree in any stream with substantial knowledge about any one of the programming languages. Upon successful completion of the course, candidates will also be rewarded with a certificate of participation. For further details, candidates can contact the faculty in charge, Meenu Dhir and Sachin Chandla.

The Managing Big Data With R and Hadoop training is a five-week training programme offered by the FutureLearn portal in association with the Partnership for Advanced Computing in Europe (PRACE). In this course, candidates will learn about statistical learning, the use of Linux with Hadoop, and how to manage data using different tools and techniques such as R, Hadoop, and R Studio. Also, learners will learn to use the big data Hadoop tool to manage and analyse big data for the organisation or client.  

Managing Big Data With R and Hadoop online course will be taught by Janez Povh, Biljsna Mileva Boshkoska, and Leon Kos using the English language as a medium of teaching. This course is designed for people who are interested in learning about data science, computational statistics, and machine learning. To apply for this course, students will have to visit the official website of the provider and register for the Managing Big Data With R and Hadoop online course. As for the complete information about this course, please go through the article given below.

The Intro to Hadoop and MapReduce is a free online course brought to the students by the platform of Udacity. The course deals with the topics of Hadoop, MapReduce, and other related aspects. It is an intermediate-level training that helps the student gain information about Big Data, HDFS, MapReduce code, etc. 

The programme does not have any restrictions regarding attendance or timings of sessions and can be pursued at the pace of the candidate. The Intro to Hadoop and MapReduce certification syllabus is divided into four lessons and can be completed within a month. The concepts of the programme can be understood easily by the students if they know the fundamentals of Python. The course is taught by three industry professionals - Sarah Sproehnle, Ian Wrigley, and Gundega Dekena.

The Intro to Hadoop and MapReduce online course material includes interactive videos, quizzes, and other exercises. Students can easily achieve the certificate at the end of the programme by completing all the curriculum components. 

The Big Data Analytics using Hadoop certification training is an industry-oriented offered by NIELIT, Chandigarh. The course strives to deliver top-notch education with all-inclusive information about the domain of big data and its usage with the Hadoop ecosystem. Instructors will conduct live classes using presentations, live demonstrations, online interactions, and free cloud-based collaborative platforms.

The four-week Big Data Analytics using Hadoop online course introduces the Hadoop ecosystem’s concepts, PIG in the apache ecosystem, and how to use big data with them. Candidates will get familiar with big data-related technologies and their impact on cultural and technological industry-related changes across several industries. Some of the other topics covered under this course are YARN, big data integration, Apache HIVE, ETL tool, and Java + JDBC (HIVE) followed by a project.

The Big Data Analytics using Hadoop program is appropriate for the candidates who hold an undergraduate degree in any stream with substantial knowledge about any one of the programming languages. Upon successful completion of the course, candidates will also be rewarded with a certificate of participation. For further details, candidates can contact the faculty in-charge, Meenu Dhir and Sachin Chandla.

Hadoop Platform and Application Framework is a 25-hour long online certification programme offered jointly by Coursera and the University of California San Diego. Coursera provides the Coursera Hadoop platform and application framework course in a flexible mode that can be taken by the learners completely in the online mode. Hadoop Platform and Application Framework Certification Course, provided by Coursera, can be taken by all learners, including business people and novice programmers. 

Hadoop Platform and Application Framework Training will guide the students on the core tools used for big data analysis, especially Hadoop and Spark, along with practical exposure with the help of hands-on examples. The online Hadoop platform and application framework Coursera course will also explore Python Programming, MapReduce, Apache Spark, and Apache Hadoop. Hadoop Platform and Application Framework Certification by Coursera can be pursued by any learner from numerous parts of the world as Coursera provides subtitles in the languages of Arabic, Vietnamese, French, Portuguese (European), Italian, German, Russian, English, and  Spanish. 

The Big Data Analytical Platform on Alibaba Cloud certification course is designed for the tech engineers that will teach them how to utilize the data products presented by Alibaba cloud. The course initially starts with distributive system theory that is the fundamental of the whole core syllabus of the course. The Big Data Analytical Platform on Alibaba Cloud training will include an introduction to various Alibaba cloud products like MaxCompute, DataWorks, E-MapReduce along with the various bundles of the ecosystem and will initially start with teaching the enrolled candidates how to utilize these particular Alibaba cloud applications and products. 

This course holds specialization in Alibaba cloud computing field, the Big Data Analytical Platform on Alibaba Cloud certification attained by the student by the end of the course will help them to pursue a further course in the same respective field.  This is an intermediate-level programme initially designed for engineers and the deadlines of the submissions are even flexible according to the candidate’s preferences. This particular course is directly sponsored by the Alibaba cloud and provides shareable certification that can uplift the resume of the candidate. 

Big Data and Hadoop & Spark certification course is created by Board Infinity, an online educational platform aimed at job seekers and students that will help them set realistic goals by allowing them to reach their full potential. The Big Data and Hadoop & Spark online course aims to teach individuals how to use technologies like Hadoop and Apache Spark to methodically collect data and analyze data sets that are too complicated.

Big Data and Hadoop & Spark online classes comprise more than 25 hours of live video-based classes along with case studies and assignments. This course covers Hadoop, Spark, Hive, PySpark, NoSQL, HDFS, and YARN, as well as other big data and big data analytics technologies. Individuals will receive a certificate from Board Infinity upon successful completion of this course, demonstrating their understanding of big data analytics topics.

The ‘Big Data Hadoop’ online course is delivered for the students to build their competence in the Bigdata Hadoop open-source software framework and the software tools such as HDFS, YARN, MapReduce, Hive, Pig, Flume, and Scoop. The certification program is provided by the online education platform Edu Plus Now in collaboration with Indian Statistical Insitute as a partner organization. The course is scheduled to be conducted for six days through live online sessions.

The course curriculum is offered through recorded lectures and interactive sessions which allows students to have an experimental learning experience. The students gain theoretical and practical knowledge of Hadoop and the principles of Big data that enables effective execution of the role of big data developer.

The ‘Bigdata Hadoop’ online certification course enables students to get guidance from academic and industry experts with support for career development. The certificates are given to students after completion of the course study.

Big Data Hadoop - First Virtual Lab certification course is designed by Corestack and is offered by FutureSkills Prime which is intended for the participants who want to acquire the knowledge of the core concepts and functionalities of big data analytics using Hadoop. Big Data Hadoop - First Virtual Lab online course by FutureSkills Prime focuses on helping participants gain better hands-on experience utilizing big data Hadoop technologies.

Big Data Hadoop - First Virtual Lab online classes feature 20 hours of extensive video-based lectures aimed at demonstrating practical mastery of big data components such as Cloudera Manager, Hive, Spark, Oozie, Impala, and others. This course includes an enterprise-grade lab architecture for hands-on project experience, as well as 24-hour support to make the learning process easier.

Hands-on HADOOP Masterclass - Tame the Big Data online course deals with two of the important aspects in the field of data science i.e., big data and Hadoop. Big data is a group of data that cannot be processed using typical methods. It collects and processes data using a variety of tools and techniques. Hadoop is an open-source software framework for storing information of any form and launching applications on a large number of devices. Hadoop has a significant amount of power to handle a lot of operations. 

Hands-on HADOOP Masterclass - Tame the Big Data online certification was created by EDUCBA and is accessible on Udemy which is intended for individuals who want to receive practical knowledge of Hadoop for data analysis. Hands-on HADOOP Masterclass - Tame the Big Data online classes comprise over 67 years of thorough video lectures aimed at teaching the fundamentals of big Data and technologies that enable big data analytics, such as MapReduce, NoSQL, Oozie, Storm, Spark, Cloudera, Mahout, Flume, and many more.

Big Data Hadoop and Spark with Scala Course is a short certification course created and developed by Harish Masand, a Technical Lead, that will help the students to have a detailed understanding of Big Data Hadoop with Spark, Spark with Scala, Ecosystem, Big Data Hadoop and much more. The curriculum will expose students to various related aspects of Big Data Hadoop and Spark with Scala;  Hadoop, HDFS, YARN, Python, pig, hive, oozie,  Map-reduce, to name a few. Big Data Hadoop and Spark with Scala Certification can be pursued by the interested learners by paying a minimal fee.

Big Data Hadoop and Spark with Scala Online Course, the online programme by Udemy, will enable the candidates to dive deeper into Hadoop, ecosystem, tools, spark, etc. Udemy will render the students a certificate of completion, a 30-day money-back guarantee, access to the course content both on TV and mobile, and the like. 

The Projects in Hadoop and Big Data - Learn by Building Apps certification course was created by Eduonix Learning Solutions in collaboration with Eduonix Tech & Eduonix Support and is offered by Udemy, which is intended for students who want to use Hadoop and big data functionalities at work and who want to become proficient in the methods for implementing big data technologies.

Projects in Hadoop and Big Data - Learn by Building Apps online course is a short-term program that consists of 10 hours of lectures accompanied by an article and 19 downloadable resources with the goal of assisting the students in learning the techniques to develop Hadoop solutions that will address real-world issues. With the help of the Projects in Hadoop and Big Data - Learn by Building Apps online classes, students will learn about the theories and methods underlying big data analytics, application development, data science, real-time streaming, Hadoop analytics, data visualization, and much more.

Hadoop is a free and open-source framework. Apache provides it to analyze and visualize huge amounts of data. Hadoop is implemented in Java and is presently used by companies like Facebook, Google, LinkedIn, and Twitter. Big Data and Hadoop for Beginners - with Hands-on Certification is a course developed by Andalib Ansari - Big Data Architect and made available by Udemy for learners who want to learn the fundamental and advanced concepts of big data and Hadoop.

Big Data and Hadoop for Beginners - with Hands-on online training is a 3-hour program that includes 2 articles and 7 downloadable resources to help learners comprehend the intricate architecture of Hadoop and its components, as well as guide them in the correct direction to begin working with Hadoop and its elements. Big Data and Hadoop for Beginners - with Hands-on online course covers big data analytics, HDFS, data pipelines, sample queries, data lakes, data sets, Hive, and Pig, as well as provides an understanding of the big data market, job roles, technology trends, Hadoop history, and Hadoop ecosystem.

Apache Hadoop is an open-source platform for storing and processing huge databases ranging in size from megabytes of data to petabytes. Instead of storing and processing data on a single large computer, Hadoop allows for the grouping of multiple computers to analyze huge datasets in parallel more rapidly. Big Data Hadoop - The Complete Course certification was developed by Telcoma Global, an organization that provides services to the Telecom & IT industries, and is offered by Udemy.

Big Data Hadoop - The Complete Course online training comprises more than 11.5 hours of digital lessons supported by two articles and is aimed at students seeking both basic and advanced skills in big data Hadoop. Big Data Hadoop - The Complete Course online classes covers the topics ranging from beginner to advanced level expertise for big data Hadoop certification, such as grid computing, data querying, data storage, data ingestion, and more.

Big Data is a massive collection of data that is growing rapidly over time. It is a data set that is so big and complicated that traditional data processing tools cannot store or process it proficiently. Big data is a type of information that is extremely massive in size. Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB online certification is developed by Navdeep Kaur Instructor & Founder of TechnoAvengers.com and is offered by Udemy.

Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB online course involves more than 11.5 hours of prerecorded lessons, 5 articles, and 21 downloadable resources which begin with an explanation of what the Hadoop distributed file system is along with the most prevalent Hadoop commands required to operate with Hadoop file system. Master Big Data - Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo online training will also cover topics such as data migration, data ingestion, CRUD operations, data frames, and the functionalities of tools such as MySQL, Cassandra, Sqoop, Flume, Hive, and MongoDB.

The Big Data and Hadoop for Absolute Beginners online certification have been created by Udemy IT Skills In Demand, an educational platform that teaches difficult skills in a straightforward manner, which is made available by Udemy for participants who want to transform themselves into big data engineers and Hadoop developers to advance in their careers by mastering the concepts and methods involved with big data and Hadoop from the ground up.

Big Data and Hadoop for Absolute Beginners online classes comprise more than 3.5 hours of digital learning resources that cover all the terms and concepts related to big data and Hadoop, including DataNode, NameNode, Secondary NameNode, TaskTracker, and JobTracker. The Big Data and Hadoop for Absolute Beginners online course explain the features of applications like HDFS, YARN, Amazon EC2, VMWare, and development environment as well as will learn about all the terms related to MapReduce programming and how to write programs using MapReduce.

The creation and coding of Hadoop applications is the responsibility of Hadoop developers. An open-source framework called Hadoop is used to store and manage big data applications that are run inside of cluster architectures. In essence, a Hadoop developer develops applications to maintain and manage big data for a business. Hadoop Developer In Real World online certification is developed by Hadoop In Real World - Expert Big Data Consultants and is offered by Udemy.

Hadoop Developer In Real World online course involves more than 20.5 hours of extensive learning materials along with 4 articles and 88 downloadable resources which are aimed at the participants who want to acquire the knowledge of the concepts involved with Hadoop and big data to become certified in Hadoop developers. Hadoop Developer In Real World online training covers topics like data analysis, cloud computing, and Cloudera manager and discusses the functionalities of various big data technologies including Flume, Sqoop, YARN, Kafka, AWS, Pig, Hive, and more.

Big data is a collection of organized, semi-organized, and unstructured data collected by businesses that can be extracted for knowledge and applied to advanced analytics tasks like predictive modeling and machine learning. Sundog Education, an educational platform that offers extremely advantageous skillsets in big data, data science, and machine learning in collaboration with Frank Kane, founder of Sundog Education, has created The Ultimate Hands-On Hadoop: Tame your Big Data certification course, which is made available through Udemy.

The Ultimate Hands-On Hadoop: Tame your Big Data online training is a self-paced program that provides more than 14.5 hours of video-based lessons accompanied by 8 articles and 2 downloadable resources which are intended for students who want to comprehend the broader Hadoop ecosystem and use it to store, analyze, and sell big data at scale. The Ultimate Hands-On Hadoop: Tame your Big Data online course covers various data engineering technologies including Cassandra, MongoDB, MySQL, Kafka, Spark, Hive, Flink, Storm, Presto, Hbase, ZooKeeper, Sqoop, Hue, Flume, Oozie, Mesos, Phoenix, Drill, and more.

Apache Spark is a strong and united analytics engine for handling large amounts of data. It involves Java, Scala, Python, and R APIs, as well as an optimized engine that supports general implementation graphs. Apache Spark with Scala - Hands On with Big Data online certification is designed by Sundog Education  - an educational platform that provides valuable professional skills in big data, data science, and machine learning in association with Frank Kane- Founder of Sundog Education, which is presented by Udemy.

Apache Spark with Scala - Hands On with Big Data online course offers 9 hours of hands-on lectures along with 3 articles which are designed to help candidates learn the technique of framing data analysis difficulties as spark problems using over 20 hands-on illustrations, and then scaling them up to operate on cloud computing services. Apache Spark with Scala - Hands On with Big Data online classes discuss topics like big data analysis, machine learning, data streaming, caching, partitioning, graph structures, structured data, data frames, Hadoop clusters, datasets, and more.

Developed by eBay Inc., Apache Kylin is a free software distributed analytics engine that supports multi-dimensional assessment (OLAP) on Hadoop and supports extremely large sets of data. Apache Kylin: Implementing OLAP on the Hadoop platform online certification is designed by Michael Enudi - Certified Instructor and is delivered by Udemy which is targetted at applicants who want to master the concepts and strategies related to the implementation of online analytical processing on the Hadoop platform using the functionalities of Apache Kylin.

Apache Kylin: Implementing OLAP on the Hadoop platform online training is a 6-hour education program accompanied by articles and case studies that will teach participants how to create and use Apache Kylin to query big data OLAP cubes. Apache Kylin: Implementing OLAP on the Hadoop platform online classes revolve around topics such as data streaming and big data analytics, as well as techniques for writing sophisticated aggregation queries of large datasets with low latency reaction times.

The Hadoop ecosystem is a framework or software that offers a variety of offerings to fix big data problems. Hadoop comprises Apache projects as well as a variety of commercial services and analytics. Learn Big Data: The Hadoop Ecosystem Masterclass certification course is designed by Edward Viaene - DevOps, Cloud & Big Data Specialist, and delivered by Udemy, which is intended for individuals who want to master big data concepts using Hadoop's functionalities.

Learn Big Data: The Hadoop Ecosystem Masterclass online classes incorporate 6 hours of video-based learning resources supported by articles and downloadable resources designed to provide individuals with foundational understanding to discuss real-world challenges and solutions with industry experts. Learn Big Data: The Hadoop Ecosystem Masterclass online training covers topics such as Pig, Hive, Spark, Hbase, HDFS, Hadoop stack, Hadoop security, high availability, query optimization, and how to utilize the commercial software in the big data industry presently, using both batch and real-time processing.

Big data organize large datasets gathered from IoT devices, such as traffic conditions and residential efficiency information, into comprehensible datasets that inform businesses on how to optimize their processes. Implied Concepts AI - Authorized Academy & Consultancy designed the Learn Big-Data with PySpark, Spark Streaming, Spark ML and Kafka certification course, which is presented by Udemy for learners who want to master the concepts and strategies associated with big data and IoT.

Learn Big-Data with PySpark, Spark Streaming, Spark ML and Kafka online classes encompass more than 3.5 hours of video-based lessons supported by articles and 15 downloadable resources which focus on teaching learners about IoT and big data using PySpark, Spark streaming, and Kafka. Learn Big-Data-IoT with PySpark, Spark Streaming, and Kafka online training cover topics like big data preprocessing, and data ingestion as well as cluster-based cloud computing with AWS EMR, Azure HDInsight, and GCP DataProc and Spark streaming with IoT data pipelines utilizing Kafka.

Apache Spark is an open-source distributed software framework and collection of library services for real-time, massive data processing, and PySpark is its Python API. Learning PySpark will help individuals build more configurable pipelines and analyses. The Hands-On PySpark for Big Data Analysis online certification was developed by Packt Publishing and is made available by Udemy, an education platform that offers programs to help participants advance their technical knowledge.

Hands-On PySpark for Big Data Analysis online course is a short-term program that involves 3.5 hours of learning material and 26 downloadable resources, which are intended for participants who want to learn the methods for analyzing big data sets and building big data platforms for machine learning models and business intelligence applications. Hands-On PySpark for Big Data Analysis online training discusses topics like data wrangling, data analysis, data cleaning, and structured data operations as well as explains the functionalities of Spark notebooks, Spark SQL, and resilient distributed datasets.