Course Batch Starts, Timing, Price & Enroll

Program Duration Batch Starts Time Price Enroll Book free demo
Weekdays
40 Hrs Weekdays Morning-Batch USD 500
INR 20000
Enroll Now Book free demo class
Weekdays
40 Hrs Weekdays Evening-Batch USD 500
INR 20000
Enroll Now Book free demo class
Weekend
40 Hrs Weekend Morning-Batch USD 500
INR 20000
Enroll Now Book free demo class
Weekend
40 Hrs Weekend Evening-Batch USD 500
INR 20000
Enroll Now Book free demo class

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


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
Ankita Agrawal
I joined Rave as a fresher and I was totally new to the IT industry. The kind of support I got from him was terrific. Anyone can learn from him the art of "Staying Calm and Cool" irrespective of the situation. One very good thing about him is he believes in giving timely Feedback to his juniors which helps his juniors to learn more and more and to improve performance. And yes , he is a dependable person. I am sure he will be a pillar for any organization he joins.
Ravi Mittal
I worked with Shrirang for closed to 5 years. He is someone who you can bank on. Once he gets his arms around a process he follows it to the minutest detail. He was a very calm demeanor. Great person to know and work with.
Cyril Rayan
Shrirang is an excellent program manager and has a strong team to deliver great results. He has great expertise in software projects and can deliver extremely well.
Anand Jain
Shrirang is a person with a broad vision and clear mindset. He always aim to the best possible results by getting his team involved in making decisions and put their best efforts in place. He is confident and a person full of business knowledge as well as capabilities of leading a team and himself.
Pallavi Bakliwal
I had the opportunity of working with Shrirang at Rave for 4 years. He is methodical, organized and very committed towards the job he undertakes. He has always demonstrated a high degree of expertise and his ability to connect with people, inspire and motivate them is incredible. He is always around to help people and he is the best manager one can ever work with.
Pallavi Bakliwal
I had the opportunity of working with Shrirang at Rave for 4 years. He is methodical, organized and very committed towards the job he undertakes. He has always demonstrated a high degree of expertise and his ability to connect with people, inspire and motivate them is incredible. He is always around to help people and he is the best manager one can ever work with.
Ankit Johari
Working with Shrirang was a great phase of my life. He is always supportive and helpful in the difficult times. He is one of the good and skillful manager I have worked in...
Sankalp Shekhar
Shrirang, a great colleague and a peer who you could look up-to for counsel. With his acute understanding in Agile methodology, he has been delight as a Scrum Master to work along. His understanding and standards of work quality, has always been motivating to bring the best out of the resources.
Aliakbar Badshah
I had the pleasure of working with Shrirang at Rave Infosys. I have learn lots of things from start to end of my career in Rave. He is a good project manager, director and also a good person.
Ashok Patidar
I have worked with Shrirang for more than 1 year. It was really a pleasure working under his guidance in Rave Infosys. It’s an honor and privilege for me realizing that I have worked with an exceptional director. No Doubt, he is an outstanding leader, a person and a friend. I highly recommend him to work with.
Sandeep Patle
Still I can remember that 1 year of Span. Working under Mr.Shrirang, was a great Experience for me and my Team. Though we had too much pressure from client but Shrirang handled it quite nicely. He is one of the Best Managers that I ever seen in 5 years of my career. I could remember his words "Family is very important than Office !!!"
Ankita choudhary
I started my career from Rave and I was fortunate to have Shrirang as my manager. He guided and motivated me and all the people working under him and with him whenever required. He is very detail oriented, hardworking and a good team leader. He is a great person and an outstanding director and mentor.
Anil Kumar
Master of Science Middlesex University,Bachelor of Engineering
From
Professional Experience

Subject Expertise
Big Data

Certification

Profile
RATING & REVIEWS
Disclaimer

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