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Big Data Foundation

Kursavgift: kr 16 000 | Varighet: 2 dager

Beskrivelse:

This is a foundation level course designed to provide you with an understanding of Big Data, the potential sources of Big Data that can be used for solving real business problems and also provide an overview of Data Mining and the tools used in it.

This is a fundamental course with practical exercises designed to provide you with some degree of handson experience in using two of the most popular technologies in Big Data processing – Hadoop and MongoDB. You will get the opportunity to practice installing these two technologies through our WorkLabs. The course exposes you to reallife Big Data technologies with the purpose of obtaining results from real datasets from Twitter.

After completing the course, you will be equipped not only with fundamental Big Data knowledge, but will also be introduced to a working development environment containing Hadoop and MongoDB, installed by yourself. This practical knowledge can be used as a starting point in the organizational Big Data journey.

Benefits of taking this course:

Participants in this course will obtain the following benefits:
  • Detailed understanding of Big Data and Data Mining concepts.
  • Ability to identify and obtain relevant datasets when looking at a business problem.
  • Ability to install and manage Big Data processing environments based on Hadoop or MongoDB at a departmental Level.

Målgruppe:

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:
  • Software Engineers
  • Application Developers
  • IT architects
  • System administrators

The course can also be of benefit to other professionals, e.g. business, research, etc., who possess strong Information Technology skills and have a deep interest in Big Data analytics and the benefits it can bring to an organization.


Forkunnskaper:

There are none prerequisites for this course

Learning Objectives:

Individuals certified at this level will have demonstrated their understanding of:
  • Big Data fundamentals
  • Big Data technologies
  • Big Data governance
  • Available Sources of Big Data
  • Data Mining, its concepts and some of the tools used for Data Mining
  • Hadoop, including its concepts, how to install and configure it, the concepts behind MapReduce, and how Hadoop can be used in real life scenarios
  • MongoDB, including its concepts, how to install and configure it, the concepts behind document databases and how MongoDB can be used in real life scenarios


Innhold:

Agenda

Day 1

Day 2

1. Course Introduction 4. Data Mining – Concepts and Tools
2. Big Data Fundamentals 5. Big Data Technologies Hadoop
3. Big Data Sources 6. Big Data Technologies MongoDB
7. Practical WorkLabs


Course Outline :


Big Data Fundamentals


Big Data – History, Overview and Characteristics
  • History
  • Big Data Overview
  • Big Data Characteristics
Big Data Technologies – Overview
  • Hadoop
  • MongoDB
Big Data Success Stories
  • Target US
  • Fighting Piracy on High Seas
Big Data – Privacy and Ethics
  • Privacy
  • Ethics
Big Data Projects
  • WHO Should Be Involved?
  • What is Involved?

Big Data Sources


Enterprise Data Sources
  • Enterprise Systems
  • Data Warehouses
  • Unstructured Data
Social Media Data Sources
  • Facebook
  • Twitter
  • Other Social Media
Public Data Sources
  • Weather
  • Economics
  • Finance
  • Regulatory Bodies

Data Mining – Concepts and Tools


Data Mining – Introduction
  • Types of Data Mining
Data Mining – Tools
  • Weka
  • KNIME
  • R Language

Big Data Technologies Hadoop


Hadoop Fundamentals
  • Main Components of Hadoop
  • Additional Components of Hadoop
Install and Configure
  • Download
  • How to Install and Configure
MapReduce
  • How Does It Work?
Data Processing with Hadoop
  • Twitter Sentiment Analysis
  • Network Log Analysis
Practical Work

Big Data Technologies MongoDB


MongoDB Fundamentals
  • Replication
  • Sharding
  • MongoDB Ecosystem
Install and Configure
  • Download
  • How to Install and Configure
Document Databases
  • Documents
  • Document Design Considerations
  • Fields
Data Modeling with Document Databases
  • Twitter Sentiment Analysis
  • Network Log Analysis
Practical Work

Course Materials:

You will receive the following as part of this course:
  • Participant handbook
  • eBook

For eBooks:
  • Laptop, tablet, Smart Phone, eReader (no Kindle)
  • eBook download instructions


Sertifisering:

This course is relevant for passing the Big Data Foundation exam from Cloud Credential Council.
The exam is not included in the course, and may be taken at our test centres. Additional price for the exam is NOK 2500 + mva.

Examination :
  • Exam Format: closedbook format. Online. Participants may bring paperbased dictionaries. No electronic devices are permitted.
  • Questions: 40 multiple choice questions
  • Passing Score: 65%
  • Exam Duration: 60 minutes. 15 minutes extra time for nonnative English speakers
  • Proctoring: Web proctoring



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    Kursansvarlig

    Trude Dahl Helland

    908 66 561

    Trude.Helland@glasspaper.no


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