Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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Big Data Hadoop Certification Training
Python Spark Certification Training usin...
Apache Spark and Scala Certification Tra...
Learning Objectives - In this module, you will get an overview of Ambari, We will find out the various use cases of Ambari, why we use it, the different kinds of managing tools present in the market, and more. We will also learn about the prequisites for ambari and its industry relevance.
Topics - Introduction to the course, What is Ambari? Types of managing tools, Pre-requisites and Working of managing tools (Ambari).
Learning Objectives - In this module, you will learn the internals of Ambari and its architecture. The objectives include installation of Hadoop and its ecosystem and to find out the various tasks related to the implementation of the Hadoop ecosystem.
Topics - Setting up Ambari and related tools, tasks in Ambari, installation of Hadoop, installation of different components of Hadoop and service management.
Learning Objectives - In this module, you will learn about Ambari Web UI, how to take the administration control of the cluster through, creating a Hadoop cluster and manage its Users, Groups and different Views.
Topics - Understanding of Ambari UI, administering Ambari, creating a cluster, managing users, groups and views.
Learning Objectives - In this module, you will learn about accessing the Ambari Web. We will learn the management of Services and Hosts. We will learn about Stacks and version management capabilities of Ambari. Also, learn how to set up Monitoring and Alerting through Ambari.
Topics - Accessing Ambari Web, service management, hosts managements, stacks and versions management, alerts and monitoring management.
Learning Objectives - In this module, you will learn advanced topics around managing a Hadoop installation or cluster for fine-tuning its performance and several other administrative configurations such as Hadoop Security, database security, Ldap, memory optimization and troubleshooting.
Topics - TroubleShooting through Ambari, Reviewing logs and general Issues, Configuration of Security, Kerberos setup, Implementation of Ldap, Implement Security on Databases and Passwords, Performance optimization and Memory optimization.
I'm currently enrolled in a lot of courses offered at Edureka, so I'm attending live classes and using their study materials, course projects, have access to support staff and teachers. I can confidently say Edureka staff is very hard working and committed to help students which is reliable. Course instructors are experienced candidates from industry who know what they are teaching. Course materials are pretty comprehensive and students need to work very hard to finish course projects, pass the project interviews and gain certification. I say, it is worth it.
I have taken 3 courses (Hadoop development, Python and Spark) in last one year. It was an excellent learning experience, most of the instructors were very interactive and having extensive industry knowledge. The support team is highly professional, always ready to assist you and let you chose your classes based on your own availability. The Learning Management System(LMS) is great. and good thing is that you would get Lifetime access to all the course that you have registered. Apart from courses and instructors, Edureka support is excellent as they provide quick resolution to any issues(example VM setup. cluster connectivity issues and etc) . If you are looking for Big Data related courses then Edureka is the right place.
A total Hands Down!!! Teaching 5/5, Tech Support 5/5, Quality of education 5/5. This is by far 1 stop solution for your studies. I took Python course and was amazed by the teaching. Amazing teachers and course material. 24x7 support for even small queries now that's what I call a pure dedication. I love the whole edureka team. You just got a permanent customer Edureka. Thank you for all the small and big things you did for me. A special thanks to sales team for going out of the way to help me understand the course module and providing me with wonderful offers ;) Cheers:)
I found the big data course from Edureka to be comprehensive, and practical. Course instructor was very knowledgeable, and handled the class very well in terms of making it interactive, keeping it interesting, and responding to all questions from students. The support staff was excellent as well, engineers assisted me remotely when I encountered an issue with HDFS even after the course was over. Overall, highly recommend Edureka for big data training and more.
Edureka is a revolution in Big Data training. I have taken 5 courses through Edureka from Hadoop, R, Data Science and Python. They have perfect material prepared professionally by highly qualified professionals and their Learning management system is very resourceful. All the links and virtual machines work well and well designed. Instructors for the courses are very well selected. They are very responsive to their customer needs and responds within minutes to questions. They have redefined big data learning for me and I am a loyal customer of Edureka. They keep innovating and add newer courses every month.
Awesome faculty. Awesome explanation on topics. I really appreciate Edureka Support team. They are really doing a fantastic job. All my queries were answered in no time. I also approached your support team for a change in class and the instructor. They allowed me to choose instructor of my choice and now my learning is much at its peak. Thanks to one and all sitting out there in the support team. They even provide a prompt response during weekends. That's a good feature. We professionals get time only during the weekend to focus on studies and when we do so we get stuck into problems; but no way have we had a good Edureka support Team. Thanks once again.