View course details of Big Data Hadoop Administration Online Training Classes with Live Projects - Placement Assured. Enroll now at octovion.com and get discounts.
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The Big Data Hadoop Administration Training course is specially designed in such a way that everyone can enhance their knowledge and skills to become a successful Hadoop developer. You can become a Hadoop expert by mastering the most important features of Hadoop Big Data like Mapreduce, HDFS, SQOOP and many more.
We conduct the training online. We make sure the student is comfortable with the teaching style of our well experienced faculties. All our Big Data Online Training classes are completely interactive. You will be provided with a course completion certificate at the end of the course.
We have best trainers providing certification training on bigdata hadoop. We also help you to get placement in top companies of USA through our placement training program. You can enroll with us to learn bigdata admin course and clear your certification. Get course material for free from our trainers.
Training Content that will be dealt as part of the course is
*Introduction to Apache Hadoop and HDFS
*Apache Hadoop architecture
*Proper cluster configuration and deployment
*Populating HDFS using Apache Sqoop
*Management and monitoring tools
*Best practices for maintaining Apache Hadoop in Production
*Installing and managing other Apache Hadoop projects
*Diagnosing, tuning and solving Apache Hadoop issues
Join training by enquiring here.
Batch Date | Training Mode | Register |
---|---|---|
11/8/2024 | Online Class | Enroll Now |
11/20/2024 | Online Class | Enroll Now |
1/6/2025 | Online Class | Enroll Now |
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The Big Data and Hadoop admin training course is designed to enhance your knowledge and skills to become a successful Hadoop developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.Here are the Course Objectives:+Thoroughly understand Big Data and Hadoop Ecosystem concepts+Understand Hadoop 2.x Architecture+Setup Hadoop Cluster and write Complex MapReduce programs+Implement HBase and MapReduce integration+Implement Advanced Usage and Indexing+Monitor the Hadoop Distributed File System+Allocate, distribute and manage resources+Implement best practices for Hadoop development+The internals of YARN, Map Reduce, HDFS and Cloudera Manager+Determining the correct hardware and infrastructure for your cluster+Proper cluster configuration and deployment to integrate with thedata center+Implementing High Availability, failover, and recovery+Setting up Name Node Federation+Configuring the Fair Scheduler..
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