The Hadoop admin training enables you to work with the versatile frameworks of the Apache Hadoop ecosystem. This Big Data administrator course covers Hadoop installation and configuration, computational frameworks for processing Big Data, Hadoop administrator activities, cluster management with Sqoop, Flume, Pig, Hive, Impala, and Cloudera.
By 2023, the Big Data analytics market is expected to reach $40.6 Billion, at a compound annual growth rate of 29.7-percent. With the world embracing digitalization, Big Data has a promising future. Professionals with expertise in Big Data have a high earning potential.
Yes, we provide 1 practice test as part of our course to help you prepare for the actual certification exam. You can try this free Big Data & Hadoop Administrator Exam Practice Test to understand the type of tests that are part of the course curriculum.
The world is experiencing a digital transformation, and it indicates that the field of Big Data and Data Analytics would remain in a boom in the future. Big data and analytics is evolving and it has the potential to meet your career expectations by offering you great job opportunities.
Professionals working in this field have attractive salary prospects, with the average salary for data scientists being $116,000. Even the beginners in this field get high salaries, the average salary package being $92,000 per year.
Learners who take the Hadoop Administrator training course in Austin can learn the following:
The Big Data and Hadoop Administrator course in Austin is designed for you to master the basic and advanced concepts of Big Data. You can explore all the technologies related to the Hadoop stack and components of the Hadoop Ecosystem.
You will also learn the following concepts of Hadoop:
There are growing job opportunities in the field of Big Data across the world. The following professionals are recommended to take the Hadoop Administration training in Austin and have an in-depth knowledge of Hadoop:
To complete the Hadoop Administration training course in Austin, applicants need to work on any one of the following two projects:
Project 1
Scalability: Deploying Multiple Clusters
Your company wants to set up a new cluster and has procured new machines; however, setting up clusters on new machines will take time. Meanwhile, your company wants you to set up a new cluster on the same set of machines and start testing the new cluster’s working and applications.
Project 2
Working with Clusters
Demonstrate your understanding of the following tasks (give the steps):
Enabling and disabling HA for namenode and resourcemanager in CDH
Removing Hue service from your cluster, which has other services such as Hive, Hbase, HDFS, and YARN setup
Adding a user and granting read access to your Cloudera cluster
Changing replication and block size of your cluster
Adding Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer, and others
Applicants can also work on the following two projects to gain a hands-on learning experience in your Hadoop administrator journey:
Project 3
Data Ingestion and Usage
Ingesting data from external structured databases into HDFS, working on data on HDFS by loading it into a data warehouse package like Hive, and using HiveQL for querying, analyzing, and loading data in another set of tables for further usage.
Your organization already has a large amount of data in an RDBMS and has now set up a Big Data practice. It is interested in moving data from the RDBMS into HDFS so that it can perform data analysis by using software packages such as Apache Hive. The organization would like to leverage the benefits of HDFS and features such as auto replication and fault tolerance that HDFS offers.
Project 4
Securing Data and Cluster
Protecting data stored in your Hadoop cluster by safeguarding it and backing it up.
Your organization would like to safeguard its data on multiple Hadoop clusters. The aim is to prevent data loss from accidental deletes and to make critical data available to users/applications even if one or more of these clusters is down.
Learners should have the following tools to run Hadoop:
Simplilearn gives the necessary assistance in setting up a virtual machine with local access.
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