Course Details
This 32 hours Instructor lead training course is aimed at aspiring administrators to teach big data fundamentals and administration of Apache Hadoop cluster using Apache ecosystem tools like Abmari, Knox and Ranger. This course, part of the Big Data program at AiQuest, is designed for administrators who will be managing the Hadoop Platform (HDP) and services for the big data cluster. This course covers installation, configuration and other typical cluster maintenance tasks.
Students will learn the details of Hadoop, YARN, the Hadoop Distributed File System (HDFS), MapReduce, and dive deep into HDP concepts like – configuration and deployment, troubleshooting, High Availability (HA), Security and Operations.
This training course is the best suited for certification aspirants (HDPCA and CCA Administrator certifications) and prepares Hadoop administrators for real-world challenges.
Students should be familiar with any programming language or scripting. SQL and basic Unix knowledge is helpful but not necessary. No prior Hadoop knowledge or experience is required.
Big Data Overview
Introduction to Apache Hadoop
Hadoop Overview
Hadoop ecosystem projects overview
Apache Hadoop file storage
HDFS overview
HDFS Architecture
Apache Hadoop Data Processing framework
MapReduce Overview
MapReduce Architecture
YARN overview
YARN Architecture
Demo on MapReduce Jobs
Hadoop Installation using Ambari
Apache Ambari
Ambari Overview
Configure a local HDP repository
Install Ambari-server & Ambari-agent
Hadoop cluster Architecture overview
Hadoop Data platform (HDP)
Cluster Expansion and Maintenance
Introducing new services in cluster
Hadoop Configuration
Rack topology – Definition and Deployment
Hadoop service configuration
User permissions
DataNode files configuration
Troubleshooting
How to Restarting Hadoop services
Reading Service Logfiles
How to configure and manage alerts
Troubleshoot a failed job
High Availability
Setup HDFS high availability
Setup YARN high availability
Setup Hive Server2 high availability
Security
Apache Knox
Knox Overview
Apache Ranger
Ranger overview
Installation and Demonstration Lab
Operations
Access control Overview and Setup
Snapshot overview
Demonstration Lab
32 hours (16 hours theory and concepts; 16 hours practical labs and demos)
This course is spread over 4 weekends (Saturday and Sunday) 6.30 AM to 10.30 AM Eastern Standard Time (GMT- 4:00 hrs). Course could be customized to the needs of participants.
Fee per participant varies based on the course delivery method and extent of customization.
The cost includes training, material and cloud-based lab fees.
Note: Please inquire with us for ongoing promotions and early bird prices.
For registration and any other inquiries, please contact AiQuest at connect@aiquestince.com
or call us on 514-910-6785.
Visit us at www.aiquestinc.com
The mission of Ai Quest (AiQ) is to help organizations and knowledge workers to explore and realize their true potential in the Artificial Intelligence (AI) landscape. The true potential of Big Data in the AI realm goes beyond implementing new technologies and having appropriate data analytics. The strategy must include well trained resources, right performance measures that affect the corporate performance, exploiting existing technological resources to maximize the value and continuous investment in corporate training.
We want to bring corporate quality and industry standard training to individuals seeking a career in Big Data. Our courses are modelled based on extensive industry experience and cater to current Industry needs to provide relevant practical experience and real-time working knowledge. Our elite courses cover core concepts in Big data as offered by corporate solution partners-Horton Works, Cloudera and Pivotal.
For those looking to certify, the course has been designed specifically to help take the certification examination with ease. Also, the courses are designed with an ideal theory to practical ratio of 50:50, ensuring learning conceptual knowledge backed by practical applicable skills relevant to the work force. The courses are delivered by professional trainers who offer corporate trainings to companies and are working as consultants and architects on Big Data projects.