Udemy Big Data Hadoop Courses & Certifications

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. Master Big Data - Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo online certification is developed by Navdeep Kaur Instructor & Founder of TechnoAvengers.com and is offered by Udemy.

Master Big Data - Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo 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-IoT with PySpark, Spark Streaming, 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-IoT with PySpark, Spark Streaming 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 2 hours of learning material and 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.

Big data pipelines are data pipelines that are built to facilitate one or more of the three characteristics of big data. The speed of big data makes it attractive to create big data streaming data pipelines. Data can be gathered and handled in real time, allowing for action to be taken. EBISYS R&D - Big Data Engineering and Consulting created the Building Big Data Pipelines with PySpark + MongoDB + Bokeh certification course, which is available on Udemy.

Building Big Data Pipelines with PySpark + MongoDB + Bokeh online course is a self-paced program that is aimed at students who want to master the skills and strategies useful for creating data pipelines using the core functionalities of tools like PySpark, Bokeh, and MongoDB. Building Big Data Pipelines with PySpark + MongoDB + Bokeh online classes cover topics like data preprocessing, data loading, data extraction, data manipulation, data transformation, and data visualization as well as explain the techniques to create machine learning scripts, PySpark ETL scripts, and dashboard server.