COURSE DESCRIPTION
This course will study the development of big data, from its origins and the conditions of its emergence through its definitions, dimensions, and applications. Big data will be understood as an evolution in coordination with business intelligence, and emphasis will be placed on its techniques in offering additional business model monetization.
The objective of this course is to ensure Management-level graduates are familiar with the fundamental architectures, and value add steps necessary for informed decision making in adopting new business value focused Big Data projects.
DESCRIPTION DU COURS
Ce cours étudiera le développement du big data, depuis ses origines et les conditions de son émergence jusqu’à ses définitions, ses dimensions et ses applications. Le big data sera compris comme une évolution en coordination avec l’intelligence économique, et l’accent sera mis sur ses techniques pour offrir une monétisation supplémentaire du modèle économique.
L’objectif de ce cours est de s’assurer que les diplômés en gestion sont familiers avec les architectures fondamentales, et les étapes de valeur ajoutée nécessaires pour une prise de décision éclairée dans l’adoption de nouveaux projets Big Data axés sur la valeur commerciale.
Links to resources for presentations or summaries:
Hadoop BI effort gets more out of big data at Yellow Pages
Managing Hadoop projects: What you need to know to succeed
What is Cassandra (Apache Cassandra)? – Definition from WhatIs.com
Apache Hive & Hadoop – Hortonworks
How to become a Data Scientist for Free
What is JDBC driver? – Definition from WhatIs.com
What is Open Database Connectivity (ODBC)? – Definition from WhatIs.com
Will the R language benefit from Microsoft acquisition?
Apache Flink: New Hadoop contender squares off against Spark | InfoWorld
What is the Confluent Platform? — Confluent Platform 2.0.0 documentation
5 Ways in Which Big Data Can Help Leverage Customer Data
Hadoop as a Service: 18 Cloud Options
Hadoop Mock Test – TutorialsPoint
Droit de l’environnement et pratique notariale
DBMS
Which in-memory DBMS best fits your company’s needs?
Which relational DBMS is best for your company?
Redis open source DBMS overview
MySQL open source RDBMS overview
Evaluating the different types of DBMS products
Make the right choice between Hadoop clusters and a data warehouse
What is MySQL? – Definition from WhatIs.com
What is NoSQL (Not Only SQL database)? – Definition from WhatIs.com
Unstructured Data: InfoGraphics – Big Data News
What are primary, super, foreign and candidate keys in a DBMS?
A Practical Guide to Data Warehousing in Oracle, Part 2 — DatabaseJournal.com
Analytics
DBMS 2 : Database management and analytic technologies in a changing world
Guide to big data analytics tools, trends and best practices
What is recommendation engine? – Definition from WhatIs.com
Analytics, Data Mining, and Data Science
What is sensor analytics? – Definition from WhatIs.com
A Cheat Sheet on Probability – Data Science Central
Why I Will Never Have a Girlfriend | Tristan Miller
Big Analytics Roundup (February 8, 2016) | The Big Analytics Blog
Directed acyclic graph – Wikipedia, the free encyclopedia
Application programming interface – Wikipedia, the free encyclopedia
Real-time operating system – Wikipedia, the free encyclopedia
Organic data growth and gaining access to the data
How data virtualization tools work
Adding a data virtualization layer to IT systems: Three questions to ask
Spark
Apache Spark Key Terms, Explained
Apache Spark Key Terms, Explained
Spark user survey suggests growth beyond Hadoop
What is Apache Spark? – Definition from WhatIs.com
Why Apache Spark is the Heir to MapReduce in the Hadoop Ecosystem
What is graph analytics? Definition from WhatIs.com
Course Features
- Lectures 0
- Quizzes 0
- Duration 2 days
- Skill level All levels
- Language English / French
- Students 0
- Assessments Yes
