KMR is one of the best training institutes in Hyderabad. I have taken the training by Mr.Harsha on Hadoop. He is very skilled expert and had practical knowledge on Hadoop. He used to give real time examples and also covers the tools from the basics. This is one of the added adavantage for learners. And they provides practice sessions to clarify the doubts, we can also get the recorded video sessions for missing topics. Overall I am much satisfied with this training. So I can say that it's a good institute for learners and job seekers. Thank you..
KMR soft is an approachable institute with good faculty especially who wants a good knowledge in Hadoop . The staff is very friendly and providing a very good ambiance for learners. Hadoop trainer Mr.Harsha is very interactive,responds immediately to clarify the doubts,provides repetitive classes and records for those who will miss the class,shares his at most theoretical as well as practical knowledge with learners,and last but not least conducts practice sessions which are very helpful to understand the topics .
It was great pleasure to learn HADOOP by Mr Karthik sir. He has good real time experience and explained in detail with real time scenarios. He guided, how to prepare the resume and interview tips to face an interview. Thank you.
Good institute to learn hadoop
Approached this institute for Big data & Hadoop training. I have attended demo classes here. the management response was good. they explained to me the course and benefits & fee structure. the course duration was 4.5months its weekly 5days classes, they quoted me 55000 for course fees. they provide good experience faculty for training. the way of teaching was so good. Overall, I'm satisfied with their response.
Excellent faculty In Kelly Technologies for Big data & Hadoop training. I joined this institute for Hadoop Spark & Scala coaching. This training is very helpful to start my new career in Hadoop Learning. the course duration was 2 months, it's daily classes & course fee paid was 13000 for Hadoop and6000 for Spark&Scala. totally I paid 19000 for overall course fees. They have provided good notes and real-time data for practice. The overall great experience here, staff are very supportive and they provided practical training as I was expecting. Thank you!.
Good training, experienced instructors, interactive sessions. To do Big Data training. I have joined this Institute. Here I attended the Demo class, it's really good. The class was already started and going well. It's a regular class. The course duration was two months. I paid the course fee was 12000. I am happy and satisfied with their coaching...
He is a one of the best tutor... Explains with real time scenarios, he makes sure everyone understands the concepts. he even connects with you offline if you want to get your doubt's clarified or if you are stuck while practicing.
I attended Hadoop and Spark both training classes given by KC Nag. Nag has in depth technical knowledge on Hadoop eco system, as he has real time experience. Nag provided the training with practice examples for each topic. He is more dedicated and put a lot of efforts to make us understand the concepts. Thank you Nag for your wonderful training.
I attended Hadoop & Spark training by KC as i decided to change career direction towards bigdata and datascience. He has vast knowledge on hadoop, spark and related technologies. He explained every topic in detailed using real world use cases along with kaggle datasets and some other datasources too. He helped us setting up development environment locally as well as cluster setup using amazon EC2/EMR platforms. He always open for suggestions and answers queries during the class. I am really thankful to KC for providing such great training sessions and highly recommend his Hadoop & Spark Training course.
1. Srinivas has a rich working experience in Big Data and Hadoop components, his courses have a well thought of content with lots of real time examples, always open to discussions , very proactive in sharing the resources he refers, encourages to ask more questions. 2. Best place to start learning Big Data, Hadoop and Ecosystem Components i.e MapReduce, Spark, Flume, Sqoop, Oozie, HBase, Zeppelin.. 3. Excellent course outline, practical oriented teaching, in depth explanation, very current with new developments in BigData space.
I have attended Srinivas Hadoop & spark online classes, it was amazing and I like the course content.He always ensures that everybody understand the concepts and He tries to give more real time example on each and every topic (hive,spark,streams,scala..etc).I would definitely recommend his online classes who wants to learn bigdata technologies. I really like his approach, here are few things:- 1.Cluster setup on cloud. 2.You will be provided each session recorded video 3.He focus more on technologies being used more in the real time world (spark, scala, streams, hive, hbase) and he also covered remains Hadoop eco system components as well (hdfs, map reduce etc). 4.He tries to give more real time use cases 5.He provides good support in setting up clusters on cloud/system and required workspace (eclipse,git..etc).
Hadoop training focuses on providing candidates with skills associated with various big data and Hadoop modules. This course focuses on skills which involve the implementation of the Hadoop framework. This training will help candidates’ master concepts such as Yarn, MapReduce, HDFS, Spark, Flume etc.
The duration for this course is as follows:
This course is ideal for professionals working as system administrators, programming developers, data warehousing experts and business intelligence professionals.
A programming background isn’t a necessity. However, candidates with a programming background will benefit more especially in languages such as JAVA and LINUX.
There are no specific pre-requisites for Hadoop training. However, candidates who have good knowledge in UNIX, SQL or Java will have an added advantage over the rest.
The objectives of this course are as follows
The Case for Apache Hadoop
Hadoop Distributed File System
Overview of the Hadoop Ecosystem
Planning your Hadoop Cluster
Managing and Scheduling Jobs
Cluster Monitoring and Troubleshooting
Populating HDFS from External Sources
Installing and Managing Other Hadoop Projects
Hadoop Distributed File System (HDFS)