Complete Hadoop Framework including kafka,spark and mongo db

Complete hands on learning on hadoop framework and its ecosystems including advanced concepts like apache spark, kafka

3.90 (207 reviews)

Udemy

platform

English

language

Other

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

Why take this course?

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.

Screenshots

Complete Hadoop Framework including kafka,spark and mongo db - Screenshot_01

Complete Hadoop Framework including kafka,spark and mongo db - Screenshot_02

Complete Hadoop Framework including kafka,spark and mongo db - Screenshot_03

Complete Hadoop Framework including kafka,spark and mongo db - Screenshot_04

Reviews

Suryakant

March 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.

Petr

February 18, 2018

The speaker is repeating over and over the same concepts without adding new information as if he was not sure himself how it works.

Marco

November 27, 2017

Speaker con pesante accendo indiano, corso disorganizzato, molte ripetizioni nella presentazione, disordine e difficoltà di lettura del materiale su mobile.

Narasimha

November 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.

Vignesh

September 17, 2017

It's too good for freshers for experienced need little deeper about code and all those things but it's very useful for new learners.Thankyou.

Bienvenido

June 29, 2017

Discussed the topic very well and provided an example that helps me understand and appreciate how it works.

Nishant

May 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.

Naren

May 17, 2017

The author of the course is experienced, he is able to translate his experience into his teaching makes this crystal clear by comparison or by examples. Good place to learn about Big Data.

Anirudh

January 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.

Kishore

January 29, 2017

Overall its good. It covers basic concepts and application code. It would be good if it explains with good real time examples.

Marco

January 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.

Ankush

January 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.

Steve

December 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.

Trey

December 8, 2016

Very general hadoop introduction. I was expecting a lot more talk about kafka, but there's isn't. That was a disappointment also not enough code demonstration is another issue.

Kanaiya

November 18, 2016

This is great tutorial. It just a practical approach. Explanation are very practical. Although it has less diagram for explanations, it has great content. This is great if you want to move to hadoop.

Charts

Price

Rating

Enrollment distribution

Complete Hadoop Framework including kafka,spark and mongo db - Distribution chart