|Course or Certification Name||Category||Location||Mode of learning|
|Master Hadoop Administration Weekday Batch||Hadoop Administration||Classroom|
|Big Data Hadoop Solutions Architect Masters Program||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data and Hadoop Spark Developer||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Learn Hadoop and Big Data by Building Projects||Big Data||Online self study|
|Hadoop Administrator||Big Data||Online self study|
|Big Data Hadoop Expert||Online self study|
|Big Data Hadoop Expert Program||Big Data||Online self study|
|Vskills Certified Big Data and Apache Hadoop Developer Government Certification||Big Data||Offline self study|
|Hadoop and Big Data for Absolute Beginners||Hadoop Administration||Online self study|
|Big Data and Hadoop Diploma Program||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Spark, Scala and Storm combo||Big Data||Online self study|
|Deploying a Hadoop Cluster||Web Technologies||Online self study|
|Big Data Fundamentals||Big Data||Online self study|
|Big Data and Machine Learning Prodegree||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Apache Spark and Scala (Online Classroom-Flexi Pass)||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
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.
Designed to make certain that you change into a Hadoop Architect master, Big Data Hadoop Masters Program is a structured learning program recommended by famous industry experts. This certification includes real life projects that let you work through technical challenges connected with Hadoop Administration. When you complete the requirement of the course, you will get master certificate from Naukri learning certifying that you have gained the knowledge of Big Data Hadoop Solutions Architect. You will get knowledge in designing, maintaining and deploying Hadoop clusters and Nosql database technologies.
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.
Learn Hadoop and master how to organize & monetize your big data with this unique project-based online Hadoop training. Created by experts from the industry, our course is designed to not only provide you a comprehensive guide for learning Hadoop and Big Data, but it also breaks down related concepts and technologies associated with the software into meaningful tasks and concepts. | With our video course, you not only gain theoretical knowledge about the technologies but also hands on experience using the projects.
Hadoop is an Apache Software Foundation project and open source software platform for scalable, distributed computing. Hadoop can provide fast and reliable analysis of both structured data and unstructured data. In this course you will learn about the design principles, the cluster architecture, considerations for servers and operating systems, and how to plan for a deployment. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam. | 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.
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.
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.
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.
Our course has been designed from the ground up to help you become an expert in Big Data, Hadoop and EC2 instance. But it doesn’t stop there, you will learn a few other technologies as well that can help you master big data including HDFS architecture, Map Reduce, Apache Hive and even Apache Pig. | The course includes the right balance of theory meets practical, allowing you to understand the real-world implications of using these technologies. At the end of this course, you will have the knowledge as well as the confidence to start tackling big data projects. | Hadoop is the more popular solution to big data. This open-source software framework is dedicated to storage and processing of big data sets using the MapReduce programming model. What it basically does is split files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel. This simplifies the process of sorting and processes data faster and more efficiently.
Big Data and Hadoop Diploma Program is primarily designed to acquaint students with a pervasive knowledge of the basics and as well as advanced concepts of the Hadoop eco-system. The functional benefits of Map Reduce, HBase, Zookeeper and Sqoopbs are highlighted also large-scale Data Processing using Spark Streaming integrated in program. At the end of the course, the candidates will gain in-depth knowledge of all the core concepts and techniques associated with Big Data and Hadoop | Big Data & Hadoop Market is expected to reach $99.31 Bn by 2022 growing at a CAGR of 42.1% from 2015, source: Forbes | McKinsey predicts that by 2018 there will be a shortage of 1.5 Mn data experts | Average salary of Big Data Hadoop Developers is $135 k, source: Indeed.com Salary Data.
It is an all-in-course designed to give a 360 degree overview of real-time processing of unbound data streams using Apache Storm and creating applications in Spark using Scala programming. The major topics include concepts of Big Data world, Batch Analysis, Types of Analytics and usage of Apache Storm for real-time Big Data Analytics, Comparison between Spark and Hadoop and Techniques to increase your application performance, enabling high-speed processing.
Learn how to tackle big data problems with your own Hadoop clusters! In this course, you’ll deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.
The course covers the way team works in big data companies, some challenges and opportunities that big data offers. You will also learn how big data is driving organizational change and the main challenges companies face when trying to analyze massive data sets. Besides, some fundamental techniques like big data stack, data mining and stream processing. In this training program, you will come across a number of tools for working with big data. It also lets you learn the technique of storing, processing and deploying in an enterprise scenario. You will gain a deep knowledge of what insights big data can offer through hands-on experience with the tools used by big data experts. At the end of the course, you will have a better understanding of the different applications of big data in industry.
The Big Data and Machine Learning Prodegree, in association with IBM as the EdTech Partner, is a first-of-its-kind 160-hour certification course providing in-depth exposure to Data Science, Big Data, Machine Learning and Deep Learning. The rigorous industry-aligned curriculum offers a comprehensive understanding of Python, Spark and Hadoop for careers in Machine Learning and Big Data. The program also features seven industry projects and periodic interaction with industry leaders in the Machine Learning Ecosystem.
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.