Learn Big Data: The Hadoop Ecosystem Masterclass

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Payment
Обучение платное
Certificate
Сертификация бесплатная
Duration
6 часов курса
О курсе

In this course you will learn Big Data using the Hadoop Ecosystem. Why Hadoop? It is one of the most sought after skills in the IT industry. The average salary in the US is $112,000 per year, up to an average of $160,000 in San Fransisco (source: Indeed).

The course is aimed at Software Engineers, Database Administrators, and System Administrators that want to learn about Big Data. Other IT professionals can also take this course, but might have to do some extra research to understand some of the concepts.

You will learn how to use the most popular software in the Big Data industry at moment, using batch processing as well as realtime processing. This course will give you enough background to be able to talk about real problems and solutions with experts in the industry. Updating your LinkedIn profile with these technologies will make recruiters want you to get interviews at the most prestigious companies in the world.

The course is very practical, with more than 6 hours of lectures. You want to try out everything yourself, adding multiple hours of learning. If you get stuck with the technology while trying, there is support available. I will answer your messages on the message boards and we have a Facebook group where you can post questions.

Программа
Introduction
Course Introduction
Course introduction, lecture overview, course objectives
Course Guide
This document provides a guide to do the demos in this course
What is Big Data and Hadoop
You will learn about Big Data, Data Types, the difference between structured and unstructured data, and what data science is
What is Big Data
The 3 (or 4) V's of Big Data explained
Examples of Big Data
What is Big Data? Some examples of companies using Big Data, like Spotify, Amazon, Google, and Tesla
What is Data Science
What can we do with Big Data? Data Science explained.
What is Hadoop
How to build a Big Data System? What is Hadoop?
Hadoop Distributions
Hadoop Distributions: a comparison between Apache Hadoop, Hortonworks Data Platform, Cloudera, and MapR
What is Big Data Quiz
Introduction to Hadoop
Hadoop Installation
How to install Hadoop? You can install Hadoop using vagrant with Virtualbox / VMWare, or on the Cloud using AWS. Hortonworks also provides a Sandbox.
Требования
  • You will need to have a background in IT. The course is aimed at Software Engineers, System Administrators, DBAs who want to learn about Big Data
  • Knowing any programming language will enhance your course experience
  • The course contains demos you can try out on your own machine. To run the Hadoop cluster on your own machine, you will need to run a virtual server. 8 GB or more RAM is recommended.
Что Вы изучите?
  • Process Big Data using batch
  • Process Big Data using realtime data
  • Be familiar with the technologies in the Hadoop Stack
  • Be able to install and configure the Hortonworks Data Platform (HDP)
Лекторы
Edward Viaene
Edward Viaene
DevOps, Cloud, Big Data Specialist

I've been a System Administrator and full stack developer for over 10 years, the typical profile for a DevOps engineer. I've been working in multiple organizations and startups. I've cofounded a startup that focusses on applying DevOps and Cloud. I have been training people in newer technologies, like Big Data. I've trained a lot of people working in FTSE 100 & S&P 100 companies. Today I mainly work together with companies to improve their software delivery processes, while coaching and teaching on platforms like Udemy.

Платформа
Udemy
Курсы Udemy подойдут для профессионального развития. Платформа устроена таким образом, что эксперты сами запускают курсы. Все материалы передаются в пожизненный доступ. На этой платформе можно найти курс, без преувеличений, на любую тему – начиная от тьюториала по какой-то камере и заканчивая теоретическим курсом по управлению финансовыми рисками. Язык и формат обучения устанавливается преподавателем, поэтому стоит внимательно изучить информацию о курсе перед покупкой.
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