Complete Hadoop Framework including kafka,spark and mongo db (Udemy.com)
Complete hands on learning on hadoop framework and its ecosystems including advanced concepts like apache spark, kafka
Created by: Srikanth Gorripati
Last updated January 2019
What you will learn
- Importance of hadoop framework in BigData analytics
- Understanding Hadoop Framework in detail
- Hands on experience on data ingestion techniques : Apache Sqoop and Apache Flume
- Hands on experience on MapReduce Programming and its hidden concepts
- Hands on experience on Apache Hive Programming, Performance tuning, UDF's
- Understand and work with Pig
- Realtime data streaming analysis with Apache Spark and its ecosystems
- Understand and work with Apache Kafka
- Process workflow automation using Oozie
- Understand and work with MongoDb
- Case Studies , practical explanations and Interview Questions
How it compares
Against the other 150 rated Udemy courses in Hadoop on CourseDuck:
- Rating3.6 out of 5higher than 6% of them
- Reviews207#87 of 151 by number of reviews
- Length18.5 hourslonger than 88% of them
- Last updatedJanuary 2019earlier than 78% of them
Course Description
Data Analytics is the practice of using data to drive business strategy and performance. It includes a range of approaches and solutions, from looking backward to evaluate what happened in the past to looking forward to do scenario planning and predictive modelling.Data Analytics spans all of the functional businesses to address a continuum of opportunities in Information Management, Performance Optimisation and Analytic Insights. Organizations now realize the inherent value of transforming these big data into actionable insights. Data science is the highest form of big data analytics that produce the most accurate actionable insights, identifying what will happen next and what to do about it.
Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. Hadoop is not just an effective distributed storage system for large amounts of data, but also, importantly, a distributed computing environment that can execute analyses where the data is.
In this course, detailed explanation about hadoop framework and its ecosystems has been provided. All the concepts are explained in detail with examples and business use cases as case studies.Also, latest technologies in big data area like apache spark, apache kafka, Mongo DB are explained. In addition, Interview questions with respect to each ecosystem and resume preparation tips are included.
Instructor Details
- 3.6 Rating
207 Reviews
Srikanth Gorripati
• 8+ years of IT industry experience encompassing wide range of skill set.
• 6+ years of experience in working with Big Data Technologies on system which comprises of several applications, highly distributive, massive amount of data using HortonWorks, Cloudera Hadoop distributions
• MapR certified hadoop developer , Oracle certified Java Programmer, PSM1 Certified and Neo4j Certified Graph Developer
• Experience in Agile Development, application design, software development and testing
• Strong expertise on Big Data and Cloud related technologies , tools and frameworks.
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Reviews
By Parvez Ansari on 5/18/2021
I am so glad that I took this course, it was really helpful , great introduction to the tool and all the datawarehousing concepts, and I would like to review the content once again after having some more hands on experience on the tool itself. Instructor is highly experienced and highly capable of teaching what he knows.
By Sribhanu sribhanu on 6/4/2018
This course is very helpful. Concepts are explained very clearly. Trainer made sure that underlying concepts of all the topics are demonstrated in detail. Hands on examples are also very handy. Once you publish videos for kafka and any other new topics please publish.
By Suryakant m on 3/31/2018
Worst course on Udemy. Instead of this you can read tutorialspoint.com and understand concepts clearly.In fact he has copied most of the content from this site. In many videos he tells this concept will be covered in next video but that next video never comes. Regretting by decision to buy this course. It was too late to ask for refund.
By Narasimha Paila on 11/4/2017
there is some audio issue with one chapter. Some chapters are not even there in course for instance, in kafka introduction, he says that in next class, he was going to explain the flow with example but there was no following chapter having this but instead, it went to Oozy. this is a beginner course for all of these components.
By Bienvenido Haya on 6/29/2017
Discussed the topic very well and provided an example that helps me understand and appreciate how it works.
By Nishant Karve on 5/22/2017
Spoken English needs to improve. Technical skills are good. However, ensure that you check what have you delivered in your previous lectures since you tend to repeat the same things again. But keep up the good work. I certainly learnt a lot.
By Anirudh Munnangi on 1/30/2017
The course content is very good. It will provide a good understanding. Presentation can be improved. The other reviews have highlighted the flaws quite well and I don't need to comment on that. I am more concerned about the knowledge.
By Marco Paulo Raimundo Veríssimo on 1/10/2017
Is interesting course with good information but also with some of videos that doesn't explain the correct behavior because lot of command fail and we don't see the correction or reason of failure. Some topics, more towards the end, are not sufficiently in-depth so less interesting.
By Ankush Dev on 1/6/2017
Update: I have updated my rating with an increase because though the presentation is not enjoyable, but content is and I am learning from it. Very good for the beginner. Hope you polish it and add some more content on 1. Twitter setup with Flume 2. Kafka and Spark integration.
By Steve Oldridge on 12/28/2016
The instructor goes through the course just typing in example code or copy pasting it in without any explanation of the principles or concepts of the underlying technologies. There's no high level overviews, no reasoning behind which technologies make sense in different situations. It's literally just "type in this and this happens" which is a poor way to explain in my opinion.
Quality Score
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Overall Score : 72 / 100






