|Course or Certification Name||Category||Location||Mode of learning|
|Apache Kafka||Big Data||Online self study|
|Big Data Hadoop Expert Program - Online Classroom||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data Hadoop Expert Program||Big Data||Online self study|
|Apache Storm Introduction||Big Data||Online self study|
|Apache Kafka For Absolute Beginners||Big Data||Online self study|
|Apache HBase Fundamentals Certification||Hadoop Administration||Online self study|
|Apache Hadoop and MapReduce Essentials||Big Data||Online self study|
|Apache Spark Fundamentals||Big Data||Online self study|
|Apache Spark and Scala (Online Classroom-Flexi Pass)||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big data and Hadoop||Hadoop Administration||Online self study|
|Big Data Hadoop Architect Masters Program||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Apache Spark Advanced Topics||Big Data||Online self study|
|Apache Hadoop for Database Administrators||Hadoop Administration||Online self study|
|Apache Cassandra Program||NO SQL Databases||Online self study|
|Cloudera Master Hadoop Administration Weekend Batch||Hadoop Administration||Classroom|
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. Professionals who are interested in big data or data analysis career can learn this tool. | This Apache Kafka course provides the candidates with the basic concepts and in-depth understanding of how to deploy it | The course also offers candidates skills on managing servers, data serialization and deserialization techniques, and strategies for testing Kafka | Designed by some of the best professionals in the industry, the course offers quality online learning modules | Upon successful completion, a certification is offered to the candidates
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.
Big Data Hadoop Expert Program ensures that you transform into a Big Data Hadoop expert by acquiring core skill sets, including Hadoop Development and mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB. The program also equips you with relevant work experience by implementing real life industry projects in the requisite Hadoop technologies.
Apache Storm is a fast and scalable open source distribution system that drives real-time computations. Any aspirants in big data or data analysis can learn this tool to enhance their career path. | This Apache Storm Introduction course has been designed to provide the fundamental knowledge and training so that the learners can have an in-depth understanding of the concepts | The candidates will also get to know about various integrations, which will be introduced in this course | Developed by a group of experts in the field, this course offers candidates hands-on experience on how to deploy the Storm architecture | With quality content, the course also provides a course-completion certificate
Apache HBase is an open-source, non-relational, distributed database modelled after Google's BigTable and is written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System), providing BigTable-like capabilities for Hadoop. This Apache HBase Fundamentals course will provide the candidates with the skills and knowledge on how to install HBase and discusses the HBase architecture and data modelling designs. The course offers unlimited access to the candidates for six months and a course completion certificate, which is recognised all across the world. Providing a career boost for both students and professionals, the modules have been designed by experts in the industry.
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.
Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.
Apache Spark is an open-source cluster-computing framework used for Big Data Processing. It combines SQL, streaming and complex analytics together seamlessly to handle a wide range of data processing scenarios. Scala is a general-purpose programming language which is supported by Apache Spark. This Apache Spark and Scala course is designed for candidates who want to advance their skills and expertise in Big Data Hadoop Ecosystem. Designed by experts in the industry, this course offers training on various topics like Spark Streaming, Spark SQL, Machine Learning Programming, GraphX Programming and Shell Scripting Spark. In addition to this, the candidates get to work on real life industry project. Upon completion of this course, successful candidates get experience certificate in Apache Spark and Scala.
Learn BIG DATA HADOOP Hands-on from Global Experts - Apache Hadoop, HDFS, Map Reduce, YARN, Hive, PIG, Impala, Scoop
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.
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.
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.
Apache Cassandra is a free and an open source NoSQL database that is distributed and massively scalable. Cassandra can manage huge amounts of data across data centers and the cloud, providing highly availability with no single point of failure. This course has been specifically designed by expert professionals to provide learners an overview and training on various topics covering Cassandra's unique architecture, and installation and operation. It offers career boosts to both students and expert professionals. The course gives unlimited content access to candidates for six months and awards a course completion certificate, which is globally recognised.
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.