• Course
  • Vendor

Learn how big data can be used to solve business problems.

  • Course Start Date: 2019-10-03
  • Time: 08:30:00 - 16:30:00
  • Duration: 2 days 08:30 AM - 04:30 PM
  • Location: Virtual
  • Delivery Methods(s): Virtual Instructor Led
$2,076.00
REGULAR PRICE $2,595.00 Save $519.00
2 discount seats left!
or make an offer

Course Outline

Lessons

The Big Data Foundations course provides you with an understanding of big data, potential data sources that can be used for solving real business problems, and an overview of data mining and the tools used in it.

This is a fundamentals course with practical exercises designed to provide you with hands-on experience in using two of the most popular technologies in big data processing – Hadoop and MongoDB. You will have the opportunity to practice installing these two technologies through lab exercises. The exercises expose you to real-life big data techniques with the purpose of obtaining results from real Twitter datasets.

After completing the course, you will be equipped with practical knowledge that can be used as a starting point in your organizational big data journey.

WHAT YOU'LL LEARN
At the end of this course, you will be able to:
  • Explain big data, its origin, and its characteristics.
  • Discuss the tools applicable used in big data processing.
  • Explain data mining.
  • Discuss popular big data technologies like Hadoop and MongoDB.
  • Discuss big data projects and the main players involved.
  • Identify and obtain relevant datasets when looking at a business problem.
  • Install and manage big data processing environments based on Hadoop or MongoDB at a departmental level.

OUTLINE
Module 1: Course Introduction
  • Let's Get to Know Each Other
  • Course Learning Objectives
  • Course Agenda
  • Activities
  • Exam
  • Course Book
  • CCC – Accreditor of the Course
  • Certification Value

Module 2: Big Data Fundamentals
  • Overview
  • Big Data – History, Overview and Characteristics
  • Big Data Technologies – Overview
  • Big Data Success Stories
  • Big Data – Privacy and Ethics
  • Big Data Projects

Module 3: Big Data Sources
  • Enterprise Data Sources
  • Social Media Data Sources
  • Public Data Sources

Module 4: Data Mining: Concepts and Tools
  • Data Mining – Introduction
  • Data Mining – Tools

Module 5: Big Data Technologies – Hadoop
  • Hadoop Fundamentals
  • Install and Configure
  • MapReduce
  • Data Processing with Hadoop

Module 6: Big Data Technologies – MongoDB
  • MongoDB Fundamentals
  • Install and Configure
  • Document Databases
  • Data Modeling with Document Databases

Exam Preparation Guide
  • Qualification Learning Objectives
  • Learning Level of the Syllabus
  • Certification
  • Exam Instructions
  • Tips for Exam Taking

WHO SHOULD ATTEND
This course is best suited to Information Technology professionals who possess intermediate to advanced programming, system administration, or relational database skills and are looking to move into the area of big data. These include:
  • Database Administrators
  • Business Intelligence Developers
  • Software Engineers
  • Application Developers
  • IT Architects
  • System Administrators
  • This course can also benefit other professionals, such as business analytics and research analytics, who possess strong IT skills and have a deep interest in big data analytics and its benefits.

Cancellation Policy

We require 16 calendar days notice to reschedule or cancel any registration. Failure to provide the required notification will result in 100% charge of the course. If a student does not attend a scheduled course without prior notification it will result in full forfeiture of the funds and no reschedule will be allowed. Within the required notification period, only student substitutions will be permitted. Reschedules are permitted at anytime with 16 or more calendar days notice. Enrollments must be rescheduled within six months of the cancel date or funds on account will be forfeited.

Training Location

Online Classroom
your office

your city, your province
your country   

About Global Knowledge

x

Global Knowledge is the world's leading learning services and professional development solutions provider. We deliver learning solutions to support customers as they adapt to key business transformations and technological advancements that drive the way that organizations around the world differentiate themselves and thrive. Our learning programs, whether designed for a global organization or an individual professional, help businesses close skills gaps and foster an environment of continuous talent development.

Training Provider Rating

This vendor has an overall average rating of 4.39 out of 5 based on 425 reviews.

No comment
No comment
No comment
No comment
No comment
No comment
No comment
No comment
No comment
No comment
No comment
No comment
No comment
Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platfo ... Read more
x

Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platform.. from adobe to something called zoom; I had to call support line cause it stated our instructor wasn’t present. Thankfully I called cause everyone online was in the adobe virtual classroom waiting for what looked like a teacher who didn’t show up for class (IT didn’t get anything resolved until 10mins after start time). I felt like he was really getting hung up on very basic knowledge for the first half of the course (talking about how to create tabs and drag formulas as an example). I completed files a few times before he was done explaining. There was a scheduled fire drill for them (roughly 30mins)that also cut into our time, which wasn’t deducted from the hour lunch break or the two, fifteen min breaks. I also really wish he touched base more on the automating workbook functions portion which we barely did. I'm happy there were/are those study guides (learning videos) and exams to take on my own time that I hope after I've had the class are still available for me to learn from.

No comment
No comment
No comment
No comment
It was difficult to practice on my PC while trying to watch the presentation online.
No comment

Course Reviews

No Reviews Yet