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Hadoop Development

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Big Data Hadoop Certification Training

Maxsoft Hadoop Developer Training will help you get a detailed idea about Big Data and Hadoop. Some of the topics included are introduction to the Hadoop ecosystem, understanding of HDFS and MapReduce including MapReduce abstraction. Learn to install, implement various components of Hadoop like Pig, Hive, Flume, Sqoop and YARN.

What you will learn in this Hadoop Developer Online Training Course?

  • 1. Learn the Hadoop Architecture and Hadoop basics for beginners
  • 2. Learn what is Hadoop, HDFS and MapReduce framework
  • 3. Write MapReduce programs and deploy Hadoop clusters
  • 4. Develop applications for Big Data using Hadoop Technology
  • 5. Develop YARN programs on the Hadoop Latest version
  • 6. Work on Big Data analytics using Hive, Pig and YARN
  • 7. Integrate MapReduce and HBase to do advanced usage and Indexing
  • 8. Learn fundamentals of Spark framework and its working
  • 9. Understand RDD in Apache Spark
  • 10. Learn Hadoop development best practices
  • 11. Job scheduling using Oozie
  • 12. Prepare for the Cloudera Spark and Hadoop Developer Certification

Who should take this Hadoop Developer Training Course?

  • Software Developers, analytics, BI, ETL, and data warehousing professionals
  • Big Data Hadoop developers, architects and testing personnel

What are the prerequisites for Hadoop Developer Training?
You don’t need prior knowledge of Apache Hadoop.

This Hadoop Developer online training equips you with the right skill sets needed to take the Professional Hadoop Developer Cloudera Certification. This Hadoop Certification training is your passport to the most sought-after jobs in the Big Data world.

Upon completion of this course at Software, the candidates will be proficient into:

  • Realize the core concepts of HDFS and MapReduce structure
  • Identify concepts associated to setup Hadoop Cluster
  • Realize Hadoop architecture
  • Grasp the ability to write Complex MapReduce programs
  • Know about Schedule jobs using Oozie
  • Execute Data analytics using Yarn, Hive and Pig
  • Implement the Hadoop development best practices
  • Our experts will teach complex concepts in an organized and simple manner
  • Realistic knowledge with actual case studies and projects

We will provide you practical coursework and system access after every class to complete before the next class begins.

Get Certified:
Maxsoft technical panel assists you to become certified Big Data Hadoop Development Professional.T&C apply.

Future Scope and Job opportunities:
Hadoop Big Data has become as technology which got great demand in the market. Most of the corporations invested about $15 billion on data management and analytics. Hence, this creates a lot of employment and growth opportunities for the Hadoop developers. The certified Hadoop Professionals who enters in to the Big Data becomes Data Scientists, Hadoop architects and Hadoop Tester with growing career graph.
Thus, there is a lot of scope for Hadoop developers in the Business Analytics currently.

Introduction to Hadoop
The introduction to Hadoop, its significance for Big Data applications, comparing it with traditional database management systems, the history of Hadoop, its various components and the Hadoop Architecture.

Hadoop Distributed File System (HDFS)The overview of Hadoop Distributed File System, the architecture of HDFS, understanding how HDFS stores file in a distributed environment, the different Hadoop files systems failure components and the recoveries methodologies, understanding load-balancing in Hadoop cluster and block placement.

Planning your Hadoop cluster Designing, configuring of multi-node Hadoop cluster, capacity management, replicating of HDFS block, rack awareness in Hadoop, understanding the network topology of the Hadoop cluster. Hadoop Deployment Hadoop installation steps, different types of Hadoop deployment, work profiling, best practices for disk, memory, and CPU allocations, understanding the distributed architecture of the Hadoop cluster. Working with HDFS Detailed understanding of the working of HDFS, learning about the various operations in HDFS, various commands, how HDFS reads files, copying of data using ‘distcp’. Mapreduce Abstraction Introduction to MapReduce abstraction, learning how it works on large datasets and about MapReduce abstraction, the mapping and reducing functions, the various components of the MapReduce process, various terminologies used, an example of the MapReduce process in real world. Hadoop Cluster Configuration Configuring of Hadoop in the cluster, the various parameters and values for configuration, learning the various parameters in HDFS and MapReduce, the configuration files in Hadoop environment, include and exclude configuration files, a real world introduction to MapReduce performance tuning. Hadoop Administration and Maintenance Introduction to Hadoop administration and maintenance, understanding the various directory structures and files, datanode and filenode, getting to know metadata and data backup, the various failure and recovery procedures, node addition and removal, maintaining Hadoop clusters, the MapReduce programming model, understanding of Schedulers. Hadoop Monitoring and Troubleshooting Hadoop cluster monitoring and troubleshooting, deploying stack traces and logs for Hadoop cluster monitoring and troubleshooting, the various Open Source tools for monitoring of Hadoop clusters. Job Scheduling Introduction to scheduling in Hadoop, the Fair Scheduler for enforcing fair sharing in each queue, the Capacity Scheduler for simulating the Hadoop cluster for FIFO, the configuration of Fair Scheduler. Project – Hadoop Multi Node Cluster Setup and Running Map Reduce Jobs on Amazon Ec2 Hadoop Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup, Running Map Reduce Jobs on Cluster. Hadoop Security Introduction to Hadoop security concepts, why Hadoop security is important?,Hadoop security system concepts, what Kerberos is and how it works, securing a hadoop cluster with Kerberos, Other security concepts. Hadoop Admin Project Project – Working with Map Reduce, Hive, Sqoop Problem Statement – It describes that how to import mysql data using sqoop and querying it using hive and also describes that how to run the word count mapreduce job. Project – Multinode Cluster Setup Problem Statement – It includes following actions: Hadoop Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster , setup,Running Map Reduce Jobs on Cluster

1. Which Case-Studies will be a part of the Course?
We will assist you to work on a real time project case studies on the topics covered after course completion. Our instructors will assist you in assigning two projects during the course. All these projects will be practical case studies along with corporate training materials, best online training software, and online software training videos which help you to gain experience - become Senior Big Data Hadoop Admin professionals ahead.

2. How will I execute the practicals?
We will assist you to set the desired environment for executing the practicals of our classes. We also offer set –up documents in our LMS as per your need. If you have any doubts, 24*7 support will always be available in order to solve your queries online.

3. What if I miss a class?
There is no possibility of skipping or losing our training sessions. If it happens, you can simply select one of the following options given below:

  • Learn the recorded sessions of the skipped class through your LMS
  • Live batches, access your skipped sessions of any one from the live batches

4. What if I have queries after I complete this course?
We offer 24*7 Support Team all the time for your access. Also, the team will assist you in answering your queries whenever needed i.e. between and after the batch.

5. How soon after Signing up would I get access to the Learning Content?
We will help you to get access to our LMS immediately after your enrolment. Moreover, you will be provided with an absolute record of our earlier training sessions, presentations, PDFs, assignments. You can begin your learning process consequently by accessing our 24*7 support team as well.

6. Is the course material accessible to the students even after the course training is over?
Yes, it is possible. Once your enrolment is done into the respective course category, you can easily access to the course materials, which are available for a period of time.

7. Who is the Instructor?
Our group of instructors are all working experts from the business with 10-13 years of experience associated to different domains. All of them are subject matter experts (SMEs) and are highly trained by Maxsoft to provide a great learning experience to the candidates successfully.

8. Do you provide placement assistance?
Maxsoft is one of the popular online instructor led and corporate training centre operating successfully. Because of our global presence, number of recruitment firms approaches us for student profiles from time to time. We assist our certified students to prepare their resumes, gain real-time experience and offer assistance for preparing interviews as there is a huge opportunities for Big Data Hadoop Admin Professionals. However, we can’t promise you with placements but we deliver our course carefully and finish the project so that you will attain very good hands on knowledge to work on a live project.

9. I have recently enrolled but I am unable to continue in the same batch. Can I reschedule it to a future date?
Yes, we will provide privileges for you to register at this instant and postpone your classes in future date as well. However, you can access our website to get detailed information about the upcoming batches.

10. Can I enrol now and take LIVE classes after a month or later?
Yes, you can register in the early bird batches first and may connect the classes shortly.

11.Can I get the recorded sessions of a class from some other batches before attending a live class?
Yes, it is possible. We provide recorded sessions assuring that the concepts highlighted in our classes will be absolutely familiar to you when you will join with your batch. Also, we believe that you will reach to a position to ask the right questions and acquire the information about the course as you would have already completed some homework from your end.

12. When are the classes held and when I will do practicals?
We will help you with your live classes to be conducted on Weekends. Also, we provide practical coursework covering each module which you can perform at your own schedule with the assistance of our 24* 7 proficient support group besides live classes. You will experience a real time project at the end of course completion.

13. What are the system requirements for this course?
The entry level system requirements for this course involve:

  • 4GB RAM
  • 10 GB Disk space with dual core CPU

14. How much internet speed is required to attend the LIVE classes?
About 1 Mbps of internet speed is needed to continue the LIVE classes. According to our observation, we have come across some candidates continuing the classes even with a very lesser internet speed as well.

15. What are the payment options?
You can pay online by using your Debit Card, Credit Card, or Net Banking service from the outstanding banks. You can use a CCAvenue Payment Gateway to make the payments. You can pay by PayPal for USD payment. Moreover, you can use our existing EMI options depending on your convenience.

16. What if I have more queries?
We will provide you with support Team who will be available online 24*7 for a specific time period. Also, the Team will assist you in answering the issues between and after the batch.

  • Max Soft Solutions technical panel assists you to become certified Big Data Hadoop Development Professional depending on your performance in the project.