List of Online Courses and Certifications

One can hardly talk about Big Data without mentioning Hadoop. The explosive growth witnessed in the data sciences and engineering industry has created ample job vacancies. EduPristine’s Data Engineering with Hadoop programme is the most comprehensive and intensive training in data engineering and trains the participants in the skill-set required to thrive in this industry.

This Data Engineering with Hadoop course is targeted towards IT and analytics professionals, who are trained by EduPristine’s subject matter experts in various Big Data tools and given hands-on experiential training. Post the course completion; candidates also get end-to-end career support and job assistance. Candidates learn about the Big Data tools, including MapReduce, Apache HBase, HDFS, Apache Spark, Hive, Sqoop, Pig, Scala, Apache Oozie, among others. 

The curriculum is an amalgamation of theoretical and practical learning and provides you with a data engineering certification at the end of the course. Participants are taught by our expert instructors and provided guidance every step of the way, from installing the software to learning its niche functions and mastering it. Data Engineering with Hadoop certification training also requires you to complete a live project.

Hadoop Training in New York Course is meant to introduce the learners to concepts of Apache Hadoop, an open framework that enables the function of storing and processing massive datasets. The learners will be exposed to the core aspects of Hadoop such as Apache Pig, optimizations of Big Data Hadoop, Flume, Sqoop, Oozie, HDFS, Apache Hive, YARN, etc and students will be equipped with enough knowledge to pass the Hadoop CAA175 certification

Administered by Mindmajix Technologies, the Hadoop Training in New York online course will train the learners to develop resolutions to handle the problems of Big data making use of troubleshooting and programming models. In the Hadoop Training in New York certification, the learners will be provided with the practical aspects of Hadoop under the supervision of well-experienced trainers with industry expertise by assigning various hands-on projects like  Solution Advisor Analysis. Multiple options of enrolment are available for this programme; the learners can choose one of them as their preference. 

Apache Nifi Training and Certification Course Online are created to provide the learners with industry and job-relevant knowledge and skills on Apache Nifi which is the framework for developing data pipelines and building data flows. In this training by Mindmajix Technologies, the students will master automation of dataflows, management of information flow between systems,  streaming analytics, data lake and constructs, data ingestion, and many more along with practical training. 

Apache Nifi Training and Certification Course Online curriculum will explore core essentials of  Big data, Cluster integration, Flow controller, and many more that will help the learners to become certified Apache Nifi Developer. Apache Nifi Training and Certification Course Online Programme demand the prospective students to have previous experience of ETL and to have an understanding of the fundamentals of Big data and Linux. 

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.

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.

Apache NiFi is an integrated information logistic support platform for computerizing data movement among distributed components. It offers actual control, making it simple to handle data movement between any origin and any destination. Stephane Maarek - AWS Certified Cloud Practitioner, Kafka Expert, Solutions Architect & Developer created the Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0 online certification, which is available through Udemy.

Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0 online classes contain 2 hours of prerecorded lessons supported by 3 articles and downloadable resources that are aimed at applicants who want to learn about the foundations of Apache NiFi technology. With the Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0 online course, applicants will learn about Cloudera dataflow, data streaming, and HDF, as well as how to establish their connectors, processors, and how to interpret their FlowFiles to make the most of what NiFi has to provide.

Big Data Testing is a process that involves looking over and confirming the capabilities of Big Data Applications. Big Data is the term for acquiring huge amounts of information that traditional storage solutions cannot manage. Learn Big Data Testing with Hadoop and Hive with Pig Script certification course is developed by Big Data Engineer and is made available by Udemy which is created for the learners who want to gain a thorough understanding of the methods involved with big data testing from the ground up.

Learn Big Data Testing with Hadoop and Hive with Pig Script online training contains 11 hours of video-based learning resources which focus on providing learners with the knowledge of the methodologies associated with big data testing to make their careers in the domain of big data testing. Learn Big Data Testing with Hadoop and Hive with Pig Script online course discusses topics like Unix, Linux, SED commands, AWK commands, and shell scripting as well as will acquire an understanding of the Hive query language for Hadoop data integration.

The Comprehensive Hive Certification Training course by Edureka will help you become a developer, tester, engineer, or programmer Apache Hadoop ecosystem. You will learn about the fundamentals of Hive and Advanced Hive. Candidates will also learn the background and use case of Hive architecture.

The Comprehensive Hive Certification Training syllabus focuses primarily on the roles, components, benefits, and limitations of Hive. The program includes sections covering data types, data models, querying languages, tables, data loading, and data importing in Hive. 

Also, the course provides an overview of processing structured and semi-structured data by querying. By the end of this course, you will be proficient in the extensive library of user-defined functions (UDF) that can be created with Hive.

Moreover, industry experts and trainers with years of relevant experience provide the training fro the Comprehensive Hive Certification Training online course. A self-paced online learning session, the course allows participants to study at their convenience with various review exercises for practice. 

Big data processing is a collection of methods or programming models for gaining access to enormous amounts of data and extracting information that can be used to advise and assist management. Big data is used by businesses to enhance operations, deliver better customer service, develop individualized marketing campaigns, and carry out other tasks that can ultimately boost sales and profits. From 0 to 1: Hive for Processing Big Data certification course is designed by Loony Corn - IT Profesional & Instructor, which is delivered by Udemy.

From 0 to 1: Hive for Processing Big Data online classes offer more than 15.5 hours of extensive lectures supported by 137 downloadable study materials which are designed to help individuals learn how to manage Hive as their data warehousing solution and master the understanding of the techniques and tools available for big data analysis. From 0 to 1: Hive for Processing Big Data online training discusses the techniques and methodologies involved with query optimization, bucketing, partitioning, big data analytics, analytical queries, and more.

With the assistance of straightforward programming, Apache Hadoop is a software program that enables the distributed processing of massive data sets throughout multiple computers. MapReduce is a programming methodology that implements distributed algorithms on a network to process and produce large amounts of data. Frank Kane, the founder of Sundog Education, Sundog Education & Machine Learning Pro, and the Sundog Education Team created the Taming Big Data with MapReduce and Hadoop - Hands On online certification, which is provided through Udemy.

Taming Big Data with MapReduce and Hadoop - Hands On online course is designed to help individuals acquire the knowledge of the principles of Hadoop and MapReduce for big data operations, as well as techniques for structuring data analysis challenges such as MapReduce challenges to execute on the cloud computing technology. Taming Big Data with MapReduce and Hadoop - Hands On online classes offer 5 hours of in-depth lectures, 4 articles, and 12 downloadable materials that cover topics including big data analytics and explain the workings of several big data technologies like Hive, Pig, and Spark.

Learn By Example: Hadoop, MapReduce for Big Data Problems certification course is designed by Loony Corn, a global e-learning platform with ex-Google, Stanford, and Flipkart team members, and is made available by Udemy for individuals looking to create sophisticated distributed computing applications to process large amounts of data using the capabilities of Hadoop and MapReduce. Learn By Example: Hadoop, MapReduce for Big Data problems online course aims to provide participants a hands-on introduction to Hadoop from the very beginning.

Learn By Example: Hadoop, MapReduce for Big Data problems online classes include more than 13.5 hours of video-based lessons accompanied by 112 downloadable study materials and articles that cover topics like parallel thinking, performance tuning, natural language processing, cluster management, serial computing, distributed computing, collaborative filtering, k-means clustering, as well as teach about the techniques to use VMs and the Cloud to build their clusters.

A continuous, distributed algorithm called MapReduce is a programming technique for handling big data sets on a network. Big data can be managed with Map Reduce in conjunction with HDFS. Hadoop MAPREDUCE in Depth | A Real-Time course on Mapreduce online certification is developed by J Garg - Data Engineering, Analytics & Cloud Trainer and is offered by Udemy who want to acquire the knowledge of basic and advanced concepts of Hadoop and MapReduce from scratch.

Hadoop MAPREDUCE in Depth | A Real-Time course on Mapreduce online training contains 6 hours of pre recorded sessions along with 23 downloaded resources, assignments, and case studies covering concepts like MapReduce classes, input splits, joins, chaining, and distributed cache. By the completion of the Hadoop MAPREDUCE in Depth | A Real-Time course on Mapreduce online classes, learners will have mastered the knowledge necessary to alter the Java classes' standard implementation in Mapreduce and code it to suit their needs.

A fully accessible framework called Hadoop has been used to store and organize big data applications that are operated inside cluster configurations. Hadoop developer develops applications to handle and administer big data for an organization. Hadoop Developer Course with MapReduce and Java certification is developed by Inflame Tech and is made available by Udemy.

Hadoop Developer Course with MapReduce and Java online classes are geared toward assisting candidates in understanding MapReduce programming, how to establish in an appropriate environment, and how to publish and operate MapReduce programs. Hadoop Developer Course with MapReduce and Java online training provides 8 hours of comprehensive lessons which aim to help candidates master the abilities needed to transform large amounts of data into useful information, process that data in parallel on the Hadoop cluster, and make it accessible to users.

Big Data Processing is the grouping of approaches or concepts that makes it possible to acquire huge amounts of data and extract insightful conclusions from it. Data collection and cleaning are always the first stages in the big data processing. Once accurate data has been collected, users can go on to analyze it statistically or create prediction models using machine learning. The Packt Publishing - Tech Knowledge in Motion, created the Learning Apache Storm for Big Data Processing certification course, which is made available through Udemy.

Learning Apache Storm for Big Data Processing online training is intended for candidates who are serious about learning the methods and concepts of big data processing to work as data engineers or Java programmers. By the end of the Learning Apache Storm for Big Data Processing online classes candidates will have developed the skills and knowledge necessary to build scalable storm applications while laying a solid foundation for Apache Storm and the legitimate processing paradigm.

Apache Storm is open and free access distributed real-time computation platform, that is used for real-time processing of everything Hadoop achieved for batch systems by making it simple to safely process unlimited streams of data. Apache Storm is easy to use, compatible with all programming languages, and a wonderful experience. Learn By Example: Apache Storm online certification was designed by Loony Corn, a team of ex-Google, Stanford, and Flipkart employees, which is provided by Udemy.

Learn By Example: Apache Storm online training is developed for individuals who are looking for a practical training program that could help them master the principles and strategies involved with Apache Storm using real examples. With Learn By Example: Apache Storm online classes, individuals will be provided with 4 hours of digital sessions supported by 15 downloadable study materials which cover topics like application development, data processing, stream processing, distributed processing, grouping, parallelism, transformations, ML algorithms and more.

Apache Storm is a widespread, fault-tolerant, accessible computing system. Using Apache Hadoop, users may utilize Storm to analyze streams of data in real-time. Additionally, storm solutions may ensure data processing and allow for the playback of data that was not even correctly processed the very first time. The Complete Apache Storm Tutorial for Beginners certification course was designed by Tutorial Drive - Software Professional and is offered through Udemy.

The Complete Apache Storm Tutorial for Beginners online classes provides 1.5 hours of video-based lectures accompanied by 2 articles that aim to assist the participants in acquiring the knowledge of the fundamental concepts of Apache Storm. The Complete Apache Storm Tutorial for Beginners online course focus on providing a comprehensive understanding of the connection like distributed messaging, big data, data processing, data streaming, topology, storm cluster, and more.