|Course or Certification Name||Category||Location||Mode of learning|
|Big Data Hadoop Architect Masters Program||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Apache Hadoop and MapReduce Essentials||Big Data||Online self study|
|Cloudera Master Hadoop Administration Weekend Batch||Hadoop Administration||Classroom|
|Hadoop Administration||Hadoop Administration||Online self study|
|Apache Hadoop for Database Administrators||Hadoop Administration||Online self study|
|Big Data Hadoop Expert Program - Online Classroom||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Cognixia Big Data and Hadoop Developer||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Cognixia Big Data and Hadoop Admin||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data and Hadoop Developer Online Certification Training||Big Data||Online self study|
|Vskills Certified Big Data and Apache Hadoop Developer Government Certification||Big Data||Offline self study|
|Big Data Hadoop Administrator (Online Classroom-Flexi Pass)||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data and Hadoop Spark Developer Training||Big Data||Online self study|
|Hadoop Analyst||Data Science||Online self study|
|Cloudera Hadoop Developer||Big Data||Classroom|
|Big Data Hadoop & Spark Developer||Big Data||Online self study|
Big Data Hadoop Architect Program is a certification course that would help you build strong skill set in areas like Hadoop Development, Real time processing using Spark, and NoSQL database technology and transform you into a Hadoop Architect Expert. You would also be gain practical experience by implementing real life industry projects in the required Hadoop technologies.
A set of algorithms for distributed processing of large data sets on computer clusters built from commodity hardware dubbed as Apache Hadoop. This course provides an introduction on the basic concepts of cloud computing with the help Apache Hadoop, Big Data and cloud computing. It also includes high-level information about operation, concepts, architecture and Hadoop ecosystem. MapReduce programming used for processing parallelizable issues across huge datasets. The course will take you through basics of programming in MapReduce and Hive. This training program is packed with case studies and real-life projects so that you gain a complete knowledge of apache Hadoop and MapReduce.
Hadoop training course offers aspirants knowledge in all the steps essential to maintain a Hadoop cluster from installation, planning and configuration. Cloudera University renders the training you need to drive big data strategy from Apache Hadoop implementation and cluster monitoring through massive speed and advanced security. The training will provide hands-on preparation for challenges faced by Hadoop administrators.
Hadoop, a part of Apache Software Foundation, is an open-source, Java-based programming framework that supports processing and storage of large data sets. | This Hadoop Administration course offers training to candidates on skills required to manage and maintain Hadoop clusters | The course has been developed by expert professionals and is aimed to providing the learners with the knowledge to become successful Haddop Administrators | It covers various areas like Hadoop architectures, its components, and monitoring and troubleshooting a Hadoop cluster | A course certification will provided to the candidates and will help in boosting the career of the candidates
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. In short, it provides user a platform for affordable high performance computing. This course offers a learning path that provides an explanation and demonstration of the most popular components in the Hadoop ecosystem. Designed to provide comprehensive knowledge to the candidates, this course gives unlimited access to the online content for six months and offers a course completion certificate that is recognised across the world. It defines and describes theory and architecture, while also providing instruction on installation, configuration, usage, and low-level use cases for the Hadoop ecosystem.
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. | Mastering Hadoop and related tools: The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. | Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. | The ‘Impala-an Open Source SQL Engine for Hadoop’ is an ideal course package for individuals who want to understand the basic concepts of Massively Parallel Processing or MPP SQL query engine that runs on Apache Hadoop. On completing this course, learners will be able to interpret the role of Impala in the Big Data Ecosystem. | MongoDB Developer and Administrator certification from Simplilearn would equip you to master the skills to become MongoDB experienced professional. By going through this MongoDB training you would become job ready by mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment. | Apache Kafka is an open source Apache project. It is a high-performance real-time messaging system that can process millions of messages per second. It provides a distributed and partitioned messaging system and is highly fault tolerant.
The most popular course tendering deep knowledge and insight into Big Data with Apaches Open Source Hadoop, Collabera Big Data and Hadoop Developer certification renders depth understanding. It includes MapReduce Frameworks, technologies like HBase, ZooKeeper, Pig, Flume and Hadoop Architecture. Become an expert in Hadoop and get familiar with industry based projects and cases. By engaging in this training certification, you will get the right experience to become certified Hadoop professional. Organizations are and continue to be looking for candidates with a right set of expertise for superb opportunities.
Big data, in simple terms, refer to the huge amount of data set that cannot be usually analysed using traditional methods. Hadoop is an open source, Java-based programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment. | This Collabera Big Data and Hadoop Admin course offers in-depth knowledge and skills to candidates on provisioning, installing, configuring, monitoring, maintaining and securing Hadoop and Hadoop Eco system components | The course offers best-in-the-industry online learning modules that has been designed by subject matter experts | It offers a comprehensive coverage on topics related to big data and Hadoop administration | Candidates are awarded a course-completion certification
This course on Big Data and Hadoop Development is very useful to acquire knowledge and sharpen skills for Hadoop development. Comprising of introduction to the Big Data Eco System, its requirement in todays environment and its applications, it also focuses on Hadoop Architecture, MapReduce frameworks, initiating with installations along with discovering technologies such as Pig, Hive, HBase, ZooKeeper, Oozie, and Flume. For verifying the knowledge gain, the course consists of multiple assignments, quizzes and a project at the end. Professionals successfully concluding the project accomplishes the certifications
Big Data extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations. Apache Hadoop is an open source software platform which was born out of the need to process and handle Big Data. A Hadoop Developer has the same role as that of a software developer but the former has also analytical and problem solving skills associated with the Big Data domain. Vskills Certified Big Data and Apache Hadoop Developer course offers extensive training to the candidates on essential skills required to become a successful Hadoop Developer, Administrator or Data Scientist professionals in the field of Big Data. This government certification tests the candidates on various areas of Hadoop platform and Big Data. The prerequisite for taking this course is knowledge of object-oriented programming like Java.
Big Data is a popular term nowadays and it refers to extremely large sets of data that can be analysed by organisations to reveal patterns, trends or behaviour patterns of customers or a certain demographic. Hadoop is a programming framework based on Java that helps in the processing of Big Data. Big Data Hadoop Administrators are associated with implementation and support of the Enterprise Hadoop environment. This Big Data Hadoop Administrator Certification course provides high-quality instruction-led training and is designed to ensure that the candidates are job ready. In addition to real-life industry projects, the course equips the learners with skills like provisioning, installing, configuring, monitoring, maintaining and securing Hadoop and Hadoop Eco system components. On the successful completion of this course, an experience certificate in Hadoop Administrator is provided.
Big Data has become increasingly popular with the need to analyse large sets of data and big data professionals are in great demand. This course is aimed at providing valuable technical skillsin Big Data and Hadoop for professionals who are seeking real-world experience to deal with big data. This certification course will help learners to be job-ready in the big data industry. With quality online content, this course prepares the candidates with real life projects. The training not only equips the learners with necessary skills in Hadoop but also provides the necessary work experience in the field through real life projects. Candidates can take the advantage of the learning materials and assignments that the course provides.
This training course is a comprehensive study of Big Data Analysis with Hadoop. The course topics include Introduction to Hadoop and its Ecosystem, MapReduce and HDFS, Introduction to Hive, Relational Data Analysis with Hive, Hive Data Management and Optimization. Further, it gives an Introduction to Pig, Basic Data analysis using Pig, Complex data Processing, Multi-Dataset Operations, Introduction to IMPALA, ELT Connectivity with Hadoop Ecosystem.
Hadoop Developer certification will let students create robust data processing applications using Apache Hadoop. After completing this course, students will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers. Hadoop developers are among the world's most in-demand and highly-compensated technical roles. According to a McKinsey report, US alone will deal with shortage of nearly 190,000 data scientists and 1.5 million data analysts and Big Data managers by 2018
Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.