Architecting Big Data Solutions (Udemy.com)

How to architect big data solutions by assembling various big data technologies - modules and best practices

Created by: V2 Maestros

Produced in 2017

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What you will learn

  • Understand the differences between Traditional and Big Data Solutions
  • Breakdown a Big Data solution into its modules
  • Look at Technology options for each module
  • Learn the advantages, short comings and use cases for each technology option
  • Architect multiple real life use cases

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Quality Score

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Overall Score : 78 / 100

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Course Description

The Big Data phenomenon is sweeping across the IT landscape. New technologies are born, new ways of analyzing data are created and new business revenue streams are discovered every day. If you are in the IT field, Big data should already be impacting you in some way.
Building Big Data solutions is radically different from how traditional software solutions were built. You cannot take what you learnt in the traditional data solutions world and apply them verbatim to Big Data solutions. You need to understand the unique problem characteristics that drive Big Data and also become familiar with the unending technology options available to solve them.
This course will show you how Big Data solutions are built by stitching together big data technologies. It explains the modules in a Big Data pipeline, options available for each module and the Advantages, short comings and use cases for each option.
This course is great interview preparation resource for Big Data ! Any one - fresher or experienced should take this course.
Note: This is a theory course. There is no source code/ programming included.Who this course is for:
  • Anyone interested in Big Data
  • Software Architects
  • Students in IT
  • Professional preparing for Big Data interviews

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Instructor Details

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V2 Maestros is dedicated to teaching big data / data science courses to students all over the world. Our instructors have real world experience practicing big data and data science and delivering business results. Big Data Science is a hot and happening field in the IT industry. Unfortunately, the resources available for learning this skill are hard to find and expensive. We hope to ease this problem by providing quality education at affordable rates, there by building Big Data and Data Science talent across the world.

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Reviews

3.9

97 total reviews

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By Anil Prakash Singh

Awesome course and great explanation. I have a better idea of how to think for big data use cases. looking forward for more such interesting courses.

By Ajay Meher

I am new to Big Data but I am quite impressed with the methodical and meticulous approach the instructor gave before I could jump to the programming and understand the nuances of Big Data Architecture and best practices.

I understand this is only theoretical approach but I could use some graphical representations at some point because lot of text just making it hard to focus and concentrate.

By NurSamsi

This course give you a good picture of how big data products constructed, collaborated, implemented, and finally can deliver solutions and solve the problem.

By Chris Kahn

Excellent content, but the presentation is incredibly boring. You are just looking at slides while the instructor reads the text. Content could be more engaging.

By Shashikant Kulkarni

This course is good to start on architecting big data projects. It provides a systematic overview of big data technologies which are categorized according to stages of data manipulation. I liked the consistency in the use of the Architecture Template.

This could be a guideline for solutioning the big data projects. Old course so needs to be updated with current details but still the outline is good. The instructor definitely has good knowledge of the area. Thank you.

By Sumit Dhar

The course would have been better from the point of view of completeness with the following:

1. Set expectation and added note on expected audience

2. Material on Governance and estimating volumetrics

3. Some analysis on how IT executives can assess cost of big data solution

The material covered was interesting and help stitch in various components of Big Data Technology and ease some of the confusion out there in the market

By Michael Reints

I really liked the pace and structure of the course. I knew very little about Big Data Architecture before the course, but I am now intrigued and eager to learn more. The format of introducing concepts and describing pros, cons, best practices and current technologies paired nicely with my learning style.

By David Haertzen

This was a very good overview course. It introduced big data architecture patterns in an organized framework. It could be improved by addubg: links to learn more about each component, quizzes and downloadable architecture template documents/diagrams.

By Peter Kratky , Instarea s.r.o. , ID: 438

The course provides a systematic overview of big data technologies which are categorized according to stages of data manipulation.

However, the course is mostly as text slides that makes it boring and difficult to remember the technologies (at least providing logos would be helpful for better remembering).

Real-world use cases with diagrams are the most valuable part

By Sadanandegowda DM

This course have very high-level solution architecture...It doesn't covered in-detail considerations of Big Data solution architecture. Its recorded 2 years ago and some stuff may not effective in today real-world. Please update the course with latest technologies and in-detailed solution design for use cases.

By Giorgio Giuliani

Good course for an overview on big data. It is particularly focused on evaluating different solutions for each layer.

I found really useful the Use cases coverage at the end of the course.

By Carlos Roberto Ueda

The course has been presenting a very good overview of what you have available to architect a big data solution.

With this course we can see that a lot of parts are involved and play a very important role in the big data solution.