Big Data and Hadoop Administrator

This Big Data and Hadoop Administrator training course will furnish you with the aptitudes and methodologies necessary to excel in the Big Data Analytics industry. With this Hadoop Admin training, you’ll learn to work with the adaptable, versatile frameworks based on the Apache Hadoop ecosystem, including Hadoop installation and configuration, cluster management with Sqoop, Flume, Pig, Hive, Impala, and Cloudera. You'll learn Big Data implementations that have security, speed, and scale.

Why become Big Data Hadoop Administrator?

The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data and analytics might just be the type of role that you have been trying to find to meet your career expectations.
Professionals who are working in this field can expect an impressive salary, with the median salary for data scientists being $116,000. Even those who are at the entry level will find high salaries, with average earnings of $92,000. 

What are the objectives of this course?

The Simplilearn Big Data and Hadoop Administrator course will equip you with all the skills you’ll need for your next Big Data admin assignment. You will learn to work with Hadoop’s Distributed File System, its processing and computation frameworks, core Hadoop distributions, and vendor-specific distributions such as Cloudera. You will learn the need for cluster management solutions and how to set up, secure, safeguard, and monitor clusters and their components such as Sqoop, Flume, Pig, Hive, and Impala with this Big Data Hadoop Admin course.
This Hadoop Admin training course will help you understand the basic and advanced concepts of Big Data and all of the technologies related to the Hadoop stack and components of the Hadoop Ecosystem.

What skills will you learn?

After completing this Hadoop Admin course, you will be able to:
* Understand the fundamentals and characteristics of Big Data and various scalability options available to help block size manage Big Data
* Master the concepts of the Hadoop framework, including architecture, the Hadoop distributed file system, and deployment of Hadoop clusters using core or vendor-specific distributions
* Use Cloudera manager for setup, deployment, maintenance, and monitoring of Hadoop clusters
* Understand Hadoop Administration activities and computational frameworks for processing Big Data
* Work with Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster
* Use cluster planning and tools for data ingestion into Hadoop clusters, and cluster monitoring activities
* resource manager Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and Kafka
* Understand security implementation to secure data and clusters

Exam & Certification

* Complete 85% of the course.
* Complete one project and one simulation test with a minimum score of 80%.