Big Data and Hadoop for Beginners - with Hands-on!

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Big Data and Hadoop for Beginners - with Hands-on!

Course Details

Cost

$8/mo

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  • On demand

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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.

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Arts & Design
Business & Management
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Course Description

The main objective of this course is to help you understand Complex Architectures of Hadoop and its components, guide you in the right direction to start with, and quickly start working with Hadoop and its components.

It covers everything what you need as a Big Data Beginner. Learn about Big Data market, different job roles, technology trends, history of Hadoop, HDFS, Hadoop Ecosystem, Hive and Pig. In this course, we will see how as a beginner one should start with Hadoop. This course comes with a lot of hands-on examples which will help you learn Hadoop quickly.

The course have 6 sections, and focuses on the following topics:

Big Data at a Glance: Learn about Big Data and different job roles required in Big Data market. Know big data salary trends around the globe. Learn about hottest technologies and their trends in the market.

Getting Started with Hadoop: Understand Hadoop and its complex arch...

The main objective of this course is to help you understand Complex Architectures of Hadoop and its components, guide you in the right direction to start with, and quickly start working with Hadoop and its components.

It covers everything what you need as a Big Data Beginner. Learn about Big Data market, different job roles, technology trends, history of Hadoop, HDFS, Hadoop Ecosystem, Hive and Pig. In this course, we will see how as a beginner one should start with Hadoop. This course comes with a lot of hands-on examples which will help you learn Hadoop quickly.

The course have 6 sections, and focuses on the following topics:

Big Data at a Glance: Learn about Big Data and different job roles required in Big Data market. Know big data salary trends around the globe. Learn about hottest technologies and their trends in the market.

Getting Started with Hadoop: Understand Hadoop and its complex architecture. Learn Hadoop Ecosystem with simple examples. Know different versions of Hadoop (Hadoop 1.x vs Hadoop 2.x), different Hadoop Vendors in the market and Hadoop on Cloud. Understand how Hadoop uses ELT approach. Learn installing Hadoop on your machine. We will see running HDFS commands from command line to manage HDFS.

Getting Started with Hive: Understand what kind of problem Hive solves in Big Data. Learn its architectural design and working mechanism. Know data models in Hive, different file formats supported by Hive, Hive queries etc. We will see running queries in Hive.

Getting Started with Pig: Understand how Pig solves problems in Big Data. Learn its architectural design and working mechanism. Understand how Pig Latin works in Pig. You will understand the differences between SQL and Pig Latin. Demos on running different queries in Pig.

Use Cases: Real life applications of Hadoop is really important to better understand Hadoop and its components, hence we will be learning by designing a sample Data Pipeline in Hadoop to process big data. Also, understand how companies are adopting modern data architecture i.e. Data Lake in their data infrastructure.

Practice: Practice with huge Data Sets. Learn Design and Optimization Techniques by designing Data Models, Data Pipelines by using real life applications' data sets.

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