Big Mountain Data & SQL Saturday Sessions


Data Technologies for Developers

Big Data Introduction
  3  

"Learn the Lingo" of Data Warehousing. Big Data employees are typically paid 20-30% more than their peers. Explore the technical realities and challenges within Big Data. We will discuss Data Warehouses, Star Schemas, Data Repository Architecture, Slowly Changing Data and several common terms utilized in Big Data discussions to have you speaking intelligently about Big Data.

Level 100 - Introduction
Duration: Hour
Presenter: John Weeks


NoSQL Introduction
  1  

Understand what NoSQL is and what it is not. Why would you want to use NoSQL within your project and which NoSQL database would you utilize. Explore the relationships between NoSQL and RDBMS. Understand how to select between an RDBMs (MySQL and PostgreSQL), Document Database(MongoDB), Key-Value Store, Graph Database, and Columnar databases or combinations of the above.

Level 200 - (Beginner): Introductory / fast moving
Duration: Hour
Presenter: John Weeks



Machine Learning

There are no presentations in this track.


Data Analytics

Three Classic Mistakes of Data Analysis
  0  

Most folks get started analyzing data and drawing inferences the moment they have some data available. Statistical tools can be very valuable in providing new information and insight, however, any one of these three mistakes can completely mislead teams, leading them astray, and drawing the wrong conclusions. So - what are the three mistakes and how do they help? That will be discussed in this session with a limited amount of interactivity.

Level 300 - (Intermediate): Basic knowledge of subject matter is suggested
Duration: Half Hour
Presenter: Rai Chowdhary



Professional Development

There are no presentations in this track.


Architecture

Emerging Patterns in BigData Solutions
  0  

What do Big Data solution architectures being implemented today have in common? Regardless of industry, business context or operating environment, and technology selection, what patterns are emerging in organizations developing Big Data solutions? In this session, we will cover five solution patterns in BigData and provide some implementation guidance on how they may or not apply to your efforts in providing BigData solutions.

Level 300 - (Intermediate): Basic knowledge of subject matter is suggested
Duration: Hour
Presenter: Ryan Plant



Business of Data

It Takes Three Brains to Analyze Data
  0  

It is quite important to understand how the brain functions and what impact does that have when it comes to using data to make decisions. The world is replete with examples of bad decisions being made despite the data suggesting otherwise. Participants will gain insight into why we make decision mistakes despite the availability of factual data.

Level 100 - Introduction
Duration: Half Hour
Presenter: Rai Chowdhary



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