+91-93257 93756

Hadoop Admin Training Institutes in Pune

Best Hadoop Admin Training in Pune

Hadoop Admin Training in Hadapsar & Best Hadoop Admin Training Institutes in Pune

What is HADOOP

Hadoop is an open-source software framework that supports data-intensive distributed applications licensed under the Apache v2 license. It supports parallel running of applications on large clusters of commodity hardware. Hadoop derives from Google's Map Reduce and Google File System (GFS) papers.

The Hadoop framework transparently provides both reliability and data motion to applications. Hadoop implements a computational paradigm named MapReduce, where the application is divided into many small fragments of work, each of which can execute or re-execute on any node in the cluster. In addition, it provides a distributed file system that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster. Both map/reduce and the distributed file system are designed so that node failures are automatically handled by the framework. It enables applications to work with thousands of computation-independent computers and petabytes of data. The entire Apache Hadoop platform is now commonly considered to consist of the Hadoop kernel, MapReduce and Hadoop Distributed File System (HDFS), as well as a number of related projects including Apache Hive, Apache HBase, and others.


Hadoop is written in the Java programming language and is an Apache top-level project being built and used by a global community of contributors. Hadoop and its related projects (Hive, HBase, Zookeeper, and so on) have many contributors from across the ecosystem. Though Java code is most common, any programming language can be used with "streaming" to implement the "map" and "reduce" parts of the system.

Why is Hadoop important?

  • Ability to store and process huge amounts of any kind of data, quickly. With data volumes and varieties constantly increasing, especially from social media and the Internet of Things (IoT), that's a key consideration.

  • Computing power. Hadoop's distributed computing model processes big data fast. The more computing nodes you use, the more processing power you have.

  • Fault tolerance. Data and application processing are protected against hardware failure. If a node goes down, jobs are automatically redirected to other nodes to make sure the distributed computing does not fail. Multiple copies of all data are stored automatically.

  • Flexibility. Unlike traditional relational databases, you don’t have to preprocess data before storing it. You can store as much data as you want and decide how to use it later. That includes unstructured data like text, images and videos.

  • Low cost. The open-source framework is free and uses commodity hardware to store large quantities of data.

  • Scalability. You can easily grow your system to handle more data simply by adding nodes. Little administration is required.

What are the challenges of using Hadoop ?

  • MapReduce programming is not a good match for all problems. It’s good for simple information requests and problems that can be divided into independent units, but it's not efficient for iterative and interactive analytic tasks. MapReduce is file-intensive. Because the nodes don’t intercommunicate except through sorts and shuffles, iterative algorithms require multiple map-shuffle/sort-reduce phases to complete. This creates multiple files between MapReduce phases and is inefficient for advanced analytic computing.

  • There’s a widely acknowledged talent gap. It can be difficult to find entry-level programmers who have sufficient Java skills to be productive with MapReduce. That's one reason distribution providers are racing to put relational (SQL) technology on top of Hadoop. It is much easier to find programmers with SQL skills than MapReduce skills. And, Hadoop administration seems part art and part science, requiring low-level knowledge of operating systems, hardware and Hadoop kernel settings.

  • Data security. Another challenge centers around the fragmented data security issues, though new tools and technologies are surfacing. The Kerberos authentication protocol is a great step toward making Hadoop environments secure.

  • Full-fledged data management and governance. Hadoop does not have easy-to-use, full-feature tools for data management, data cleansing, governance and metadata. Especially lacking are tools for data quality and standardization.

Course Content of Hadoop Administration

Introduction to Big Data

  • Characteristics of Big Data

  • Why is parallel computing important

  • Discuss various products developed by vendors

Introducing Hadoop

  • Components of Hadooop

  • Starting Hadoop

  • Identify various processes

  • Hands on

Working with HDFS

  • Basic file commands

  • Web Based User Interface

  • Reading & Writing to files

  • Run a word count program

  • View jobs in the Web UI

  • Hands on

Installation & Configuration of Hadoop

  • Types of installation (RPM’s & Tar files)

  • Set up ‘ssh’ for the Hadoop cluster

  • Tree structure

  • XML, masters and slaves files

  • Checking system health

  • Discuss block size and replication factor

  • Benchmarking the cluster

  • Hands on

Advanced administration activities

  • Adding and de-commissioning nodes

  • Purpose of secondary name node

  • Recovery from a failed name node

  • Managing quotas

  • Enabling trash

  • Hands on

Monitoring the Hadoop Cluster

  • Hadoop infrastructure monitoring

  • Hadoop specific monitoring

  • Install and configure Nagios / Ganglia

  • Capture metrics

  • Hands on

Other Components of the Hadoop ecosystem

  • Discuss Hive, Sqoop, Pig, HBase, Flume

  • Use cases of each

  • Use Hadoop streaming to write code in Perl / Python

  • Hands on



Hadoop Admin Training trainer Profile & Placement

  • More than 10 Years of experience in Hadoop Admin Training
  • Has worked on multiple realtime Hadoop Admin Training
  • Working in a top MNC company in Pune
  • Trained 2000+ Students so far in Hadoop Admin Training.
  • Strong Theoretical & Practical Knowledge
  • Certified Professionals

Hadoop Admin Training Placement in Pune

  • More than 2000+ students Trained in Hadoop Admin Training
  • 92% percent Placement Record
  • 1000+ Interviews Organized

Hadoop Admin Training batch size in Pune


Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 8 (maximum)

Hadoop Admin Training Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 8 (maximum)

Hadoop Admin Training Fast Track batch

  • Seats Available : 5 (maximum)

Quick Enquiry


Related Courses


PEGA Training Reviews

PEGA Training in Pune - Hadapsar
Learning Hub

4.9 out of 5
based on 6284 ratings.

Today I completed my PEGA training. My Pega  classes are up to the mark. With this course i will be able to go to IT industry and start working .Trainer Shared all the information . If you ask something he is explaining that all part of advanced PEGA concepts . Once you complete the course and go for the interview you will come to know what was the quality of training.They Placed me IBM Pune.


Sonam Arora


Learning Hub is the best institute for Pega in Pune, My Batch Pega trainer is well experienced, committed and responsible, he delivered 100% with examples. covered all the topics and made Pega as simple as Project. worth for money nothing will be wasted even if you are not step in to Pega pprc.


siddarth



Just Completed My Pega Training at Learning Hub.Good Training on Pega, Start from basic's till the last class and our trainer gave real time examples.. anyone can learn Pega easily.. and Trainer have provided course related ppt's, software .. overall good pega training instiute and excellent Pega trainers


Tirumala



Trainers are very skilled Experts and practical knowledge training they have provided was really awesome. I will recommend this Training Institute for PEGA course at Marathalli. Management also kept their promises given at the time of joining, very cool and nice guys.


Madhu sagar


 

I have completed my Pega training from this institute. The faculty is too good and i could easily learn the details of the course from them. I am also very happy with the laboratory practical classes because we all were given personal systems


Pradeesh


There are so many Training institutes in Pune..But Learning Hub is the Best Institute for PEGA.Really thePEGA material is so helpful for interview purpose and excellent teaching for Pega Sir. I think no other institute will provide this kind of teaching....He is the Best....and Hardworking daily he asks questions of previous topics,he motivate and build the confidence in students. If daily we do practice without any delay then sap basis will become easy and interesting for us.


Vinay


Today I completed my PEGA training. My Pega  classes are up to the mark. With this course i will be able to go to IT industry and start working .Trainer Shared all the information . If you ask something he is explaining that all part of advanced PEGA concepts . Once you complete the course and go for the interview you will come to know what was the quality of training.waiting for my placement.


Aditi Roy


"I am Vaishnavi, B.Tech IT. Now I am working in software company as a PHP developer. I have done PEGA training at Learning Hubtechnologies. The training was very useful to get this job easily. They have advanced technologies with updated syllabus. Overall, I feel the training is really worth for my money, time and effort spent here.They provide placements also. "


Vaishnavi