Architecting Big Data Solutions - Use Cases and Scenarios

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Architecting Big Data Solutions - Use Cases and Scenarios

Course Details

Cost

$8/mo

Skillshare offers a wide variety of free and Premium courses on creative skills, marketing and more.

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  • On demand

Course Provider

Skillshare online courses
In Skillshare’s unique philosophy, everyone is a teacher, and everyone is a learner. Rather than a traditional lecture format, courses are offered within a global online learning community in which learners collaborate and learn by doing. Instructors are industry leaders who share their skills with anyone who wants to learn. No credits are offered. Founded by online entrepreneurs Michael Karnjanaprakorn and Malcolm Ong, Skillshare’s online “campus” was launched in April 2011. Its catalog h...
In Skillshare’s unique philosophy, everyone is a teacher, and everyone is a learner. Rather than a traditional lecture format, courses are offered within a global online learning community in which learners collaborate and learn by doing. Instructors are industry leaders who share their skills with anyone who wants to learn. No credits are offered. Founded by online entrepreneurs Michael Karnjanaprakorn and Malcolm Ong, Skillshare’s online “campus” was launched in April 2011. Its catalog has grown from 15 to more than 250 online courses that cover creative arts, entrepreneurship, branding and marketing, lifestyle and technology. The School of MakeOurMark, with courses in photography, illustration and tattooing, was launched in October 2013, and the School of Design went live the following month. Among the instructors who have taught courses are Seth Godin, founder of online marketing firm Yoyodyne, who teaches a class on entrepreneurship; DJ Young Guru, who leads a course on mixing and recording; and actor, writer and director James Franco, whose course focuses on screenwriting for short films. You can begin a Skillshare collaboration by taking an introductory course in a particular area to learn, for example, the fundamentals of Photoshop and expand your knowledge with a five-part, in-depth Photoshop series.

Provider Subject Specialization
Arts & Design
Business & Management
32 reviews

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.

Thi...

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.

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