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Projects in Hadoop and Big Data – Learn by Building Apps – Udemy

(10 customer reviews)

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Description

What you’ll learn

  • Understand the Hadoop Ecosystem and Associated Technologies
  • Learn Concepts to Solve Real World Problems
  • Learn the Updated Changes in Hadoop
  • Use Code Examples Present Here to Create Your own Big Data Services
  • Get fully functional VMs fine tuned and created specifically for this course.

The most awaited Big Data course on the planet is here. The course covers all the major big data technologies within the Hadoop ecosystem and weave them together in real life projects. So while doing the course you not only learn the nuances of the hadoop and its associated technologies but see how they solve real world problems and how they are being used by companies worldwide.

This course will help you take a quantum jump and will help you build Hadoop solutions that will solve real world problems. However we must warn you that this course is not for the faint hearted and will test your abilities and knowledge while help you build a cutting edge knowhow in the most happening technology space. The course focuses on the following topics

Add
Value to Existing Data
– Learn how technologies such as Mapreduce applies to Clustering problems. The project focus on removing duplicate or equivalent values from a very large data set with Mapreduce.

Hadoop
Analytics and NoSQL
– Parse a twitter stream with Python, extract keyword with apache pig and map to hdfs, pull from hdfs and push to mongodb with pig, visualise data with node js . Learn all this in this cool project.

Kafka Streaming with Yarn and Zookeeper – Set up a twitter stream with Python, set up a Kafka stream with java code for producers and consumers, package and deploy java code with apache samza.

Real-Time Stream Processing with Apache Kafka and Apache Storm – This project focus on twitter streaming but uses Kafka and apache storm and you will learn to use each of them effectively.

Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache Solr – Set up the relational schema for a Health Care Data dictionary used by the US Dept of Veterans Affairs, demonstrate underlying technology and conceptual framework. Demonstrate issues with certain join queries that fail on MySQL, map technology to a Hadoop/Hive stack with Scoop and HCatalog, show how this stack can perform the query successfully.

Log collection and analytics with the Hadoop Distributed File System using Apache Flume and Apache HCatalog – Use Apache Flume and Apache HCatalog to map real time log stream to hdfs and tail this file as Flume event stream. , Map data from hdfs to Python with Pig, use Python modules for analytic queries

Data Science with Hadoop Predictive Analytics – Create structured data with Mapreduce, Map data from hdfs to Python with Pig, run Python Machine Learning logistic regression, use Python modules for regression matrices and supervise training

Visual Analytics with Apache Spark on Yarn – Create structured data with Mapreduce, Map data from hdfs to Python with Spark, convert Spark dataframes and RDD’s to Python datastructures, Perform Python visualisations

Customer 360 degree view, Big Data
Analytics for e-commerce
– Demonstrate use of EComerce tool ‘Datameer’ to perform many fof the analytic queries from part 6,7 and 8. Perform queries in the context of Senitment analysis and Twiteer stream.

Putting it all together Big Data with Amazon Elastic Map Reduce – Rub clustering code on AWS Mapreduce cluster. Using AWS Java sdk spin up a Dedicated task cluster with the same attributes.

So after this course you can confidently built almost any system within the Hadoop family of technologies. This course comes with complete source code and fully operational Virtual machines which will help you build the projects quickly without wasting too much time on system setup. The course also comes with English captions. So buckle up and join us on our journey into the Big Data.

Who this course is for:

  • Students who want to use Hadoop and Big Data in their Workplace and want to learn the implementation details for big data technologies.

Course content

  • Introduction
  • Add Value to Existing Data with Mapreduce
  • Hadoop Analytics and NoSQL
  • Kafka Streaming with Yarn and Zookeeper
  • Real Time Stream processing with Apache Kafka and Apache Storm
  • Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache S
  • Log collection and analytics with the Hadoop Distributed File System using Apach
  • Data Science with Hadoop Predictive Analytics
  • Visual Analytics with Apache Spark on Yarn
  • Customer 360 degree view, Big Data Analytics for e-commerce

10 reviews for Projects in Hadoop and Big Data – Learn by Building Apps – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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