Course Batch Starts, Timing, Price & Enroll

Program Duration Batch Starts Time Price Enroll
Weekdays
40 Hrs Weekdays Morning-Batch USD 500 350
INR 20000 16000
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Weekdays
40 Hrs Weekdays Evening-Batch USD 500 350
INR 20000 16000
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Weekend
40 Hrs Weekend Morning-Batch USD 500 350
INR 20000 16000
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Weekend
40 Hrs Weekend Evening-Batch USD 500 350
INR 20000 16000
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About Course

A wide variety of companies and organizations are using Apache Hadoop for both research and production environment.
Due to high demand of Big Data professionals in industry, Apache Hadoop is becoming popular and a must-know skill for the below job-roles
Project Managers
Software Architects
Data Management Professionals
Business Intelligence Professionals
Analytics Professionals
This course is designed to provide the training for Apache Hadoop which is a framework that allows distributed processing of large data sets across clusters of computers using simple programming models.
The advantage with Apache Hadoop is that it can scale up from single servers to thousands of machines, each offering local computation and storage to deliver high-performance without relying upon hardware.
Now a days, in the market there is a certification CCAH (Cloudera Certified Administrator for Apache Hadoop) backed by Cloudera. The CCAH validates the ability of an individual to configure, deploy, maintain, and secure an Apache Hadoop cluster.
This course will help you in understanding the Apache Hadoop system library from very beginning to advance so that you can crack your CCAH certification and able to configure, deploy, maintain, and secure an Apache Hadoop cluster.
After completing this course an individual can be able to work independently on the below modules of Apache Hadoop –
Hadoop Common Utilities
Hadoop Distributed File System (HDFS)
Hadoop YARN Framework.
Hadoop MapReduce.
Perform Data Analytics using Pig and Hive Hadoop Components
Mastering in Hadoop using concepts including Hbase, Zookeeper, and Sqoop.
There is no formal prerequisites for this course. Anyone can attend this course at anytime. Knowledge of java programming concept can add an advantage for you.

CURRICULUM

Big Data and Hadoop Administrator

Module

  • 1.1 Describe the function of HDFS daemons
  • 1.2 Describe the normal operation of an Apache Hadoop cluster, both in data storage and in data processing
  • 1.3 Identify current features of computing systems that motivate a system like Apache Hadoop
  • 1.4 Classify major goals of HDFS Design
  • 1.5 Given a scenario, identify appropriate use case for HDFS Federation
  • 1.6 Identify components and daemon of an HDFS HA-Quorum cluster
  • 1.7 Analyze the role of HDFS security (Kerberos)
  • 1.8 Determine the best data serialization choice for a given scenario
  • 1.9 Describe file read and write paths
  • 1.10 Identify the commands to manipulate files in the Hadoop File System Shell
  • 2.1 Understand how upgrading a cluster from Hadoop 1 to Hadoop 2 affects cluster settings
  • 2.2 Understand how to deploy MapReduce v2 (MRv2 / YARN), including all YARN daemons
  • 2.3 Understand basic design strategy for MapReduce v2 (MRv2)
  • 2.4 Determine how YARN handles resource allocations
  • 2.5 Identify the workflow of MapReduce job running on YARN
  • 2.6 Determine which files you must change and how in order to migrate a cluster from MapReduce
  • 2.7 version 1 (MRv1) to MapReduce version 2 (MRv2) running on YARN
  • 3.1 Principal points to consider in choosing the hardware and operating systems to host an Apache Hadoop cluster
  • 3.2 Analyze the choices in selecting an OS
  • 3.3 Understand kernel tuning and disk swapping
  • 3.4 Given a scenario and workload pattern, identify a hardware configuration appropriate to the scenario
  • 3.5 Given a scenario, determine the ecosystem components your cluster needs to run in order to fulfill the SLA
  • 3.6 Cluster sizing: given a scenario and frequency of execution, identify the specifics for the workload, including CPU, memory, storage, disk I/O
  • 3.7 Disk Sizing and Configuration, including JBOD versus RAID, SANs, virtualization, and disk sizing requirements in a cluster
  • 3.8 Network Topologies: understand network usage in Hadoop (for both HDFS and MapReduce) and propose or identify key network design components for a given scenario
  • 4.1 Given a scenario, identify how the cluster will handle disk and machine failures
  • 4.2 Analyze a logging configuration and logging configuration file format
  • 4.3 Understand the basics of Hadoop metrics and cluster health monitoring
  • 4.4 Identify the function and purpose of available tools for cluster monitoring
  • 4.5 Be able to install all the ecoystme components in CDH 5, including (but not limited to): Impala, Flume, Oozie, Hue, Cloudera Manager, Sqoop, Hive, and Pig
  • 4.6 Identify the function and purpose of available tools for managing the Apache Hadoop file system
  • 5.1 Understand the overall design goals of each of Hadoop schedulers
  • 5.2 Given a scenario, determine how the FIFO Scheduler allocates cluster resources
  • 5.3 Given a scenario, determine how the Fair Scheduler allocates cluster resources under YARN
  • 5.4 Given a scenario, determine how the Capacity Scheduler allocates cluster resources
  • 6.1 Understand the functions and features of Hadoop’s metric collection abilities
  • 6.2 Analyze the NameNode and JobTracker Web UIs
  • 6.3 Understand how to monitor cluster daemons
  • 6.4 Identify and monitor CPU usage on master nodes
  • 6.5 Describe how to monitor swap and memory allocation on all nodes
  • 6.6 Identify how to view and manage Hadoop’s log files
  • 6.7 Interpret a log file

Exam & Certification

Exam Code - (CCA-500)
Number of Questions: 60 questions
Time Limit: 90 minutes
Passing Score: 70%
Language: English, Japanese
CCA-500 certification is valid for two years.

POWER OF CHOOSING YOUR TRAINER - TAKE DEMO FROM 3 TRAINERS AND SELECT


Pankaj Pathak
MCA
From
Professional Experience

Subject Expertise
Cloudera

Certification

Profile
I have around 16 years of experience in IT corporate along with 4 years of experience in Data Science. I am expertise in complete Data Science (Data Analysis, Data Migration and Data Visualization) also. I have worked with prominent IT companies like HCL and CSC. I have handle various national and overseas projects on various technologies like Python, R, Linux, Hadoop , Tableau an Qlikview. I also provide world wide training on open source hot skills such as Apache Hadoop, R, Python, Tableau, Qlikview etc....
RATING & REVIEWS
Asim Irshad
I have learned Hadoop from Pankaj sir and I think he is the best faculty I have ever met in my life. He is good in his skills and the way of teaching is really nice and the concept that he provides is really good.Thank you Hub4tech.
Zaheen
Good Trainer
Ankit Malik
Pankaj is a true Quality Professional. Given a complex problem, he has a rare and enviable ability to find a simple solution. It is delightful to see how his eyes light up when he is working on new ideas. He is a great contributor.
Mithun Sarkar
Pankaj possesses a rare combination of deep business expertise as well as the change leadership skills to ensure sustainable transformations. He has been an extremely effective partner, Pankaj has a wonderful sense of humor that keeps the mood light even when times are tough. As a veteran leader with a proven track record, his advice always reflects a seasoned perspective that can be unconditionally trusted.
Tarun R
Pankaj is a good human being, colleague, mentor and a person whom you could rely on for any assistance. He comes with a wide background expertise in the quality domain and is always rearing to go. He is a fantastic team player and handles any responsibility given to him effortlessly. One thing Pankaj is known for is his proficient knowledge and his ability to explain in detail to the needy..Best of luck for your future.
Arindam Ghosh
I deem Pankaj to be an amazing QUALITY GURU, whose attention to focus & training methodology is one of its kind. Really fortunate to be with this Quality honchos.
Dharambir Singh
Pankaj is best hadoop trainer in Delhi-NCR. Their teaching method is too good.
Parminder Singh
Excellent training on Big Data ecosystem for the challenging career opportunity. The way of teaching is good, he is having good working knowledge on ecosystems. His case studies on different business senarios are very useful for further reference. Overall, training was very useful and informative.
Parminder
Excellent training on Big Data ecosystem for the challenging career opportunity.The way of teaching is good, he is having good working knowledge on ecosystems. His case studies on different business senarios are very useful for further reference.Overall,training was very useful and informative.
Aakash Patel
Every problem is NOproblem for him. Awesome instructor.
Rakesh Kumar
Pankaj sir is best trainer in Delhi-NCR. Their teaching method is too good and easy to understand for every one .
Abhishek sharma
As a teacher Pankaj sir is excellent with a wide range about big data and other environments.n all I want is to thank sir for being supportive to me n help me choosing a good carrier in big data.
V krishna chaitanya
Training is excellent
Bimal chandra naresh
Pankaj sir is best trainer in Delhi-NCR. Their teaching methodology and practical approach is too good and easy to understand for every one .
Bimal chandra naresh
Pankaj sir is best trainer in Delhi-NCR. Their teaching methodology and practical approach is too good and easy to understand for every one .
Bimal Chandra
Pankaj Sir is the best tutor for R programming & Hadoop Developer after a long R&D I found Pankaj Sir and approached him for the training he was so cordial and good tutor and he motivates the students and help them to focus and move in right direction regarding their career Best human being Thanks to Pankaj Sir once again through Hub4Tech Portal.
Amit Sharma
Pankaj Sir is on of the best bigdata Hadoop trainer in Delhi NCR.
Shrirang Mukund Garge
MBA,Oracle,Scrum & Horton Certified
From
Professional Experience

Subject Expertise
Big Data

Certification

Profile
Hortonworks certified developer. Certified Scrum Master. Oracle Certified Associate. Total 15 years of IT experience. Around 4 years of experience in the areas of Data Warehousing and Data Migration using PL/SQL, BI, Informatica, Cognos.
RATING & REVIEWS
Anil Kumar
Master of Science Middlesex University,Bachelor of Engineering
From
Professional Experience

Subject Expertise
Big Data

Certification

Profile
RATING & REVIEWS
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