Big Mountain Data & SQL Saturday Sessions


Data Technologies for Developers

Big Data Introduction
  6  

"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


Build Reactive Applications with Akka
  3  

Akka is a toolkit and runtime for building highly concurrent, distributed, and fault tolerant event-driven applications on the JVM.

Level 100 - Introduction
Duration: Hour
Presenter: Garrett Smith


Handling database evolution with Liquibase
  3  

We always keep versions of our code in a source control system, but how about the database? How can we reduce the pain of updating the database model when working on a team, or even knowing when do we need to update it? What can we do if we want to rollback to a previous version of the database? Liquibase is a pretty awesome library that will help you update, maintain and control your database model, as any other asset in your project.

Level 100 - Introduction
Duration: Hour
Presenter: Andres Arias


NoSQL Introduction
  2  

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


Get Value from your investment in Big Data; an deep dive into analytic & visualization tools (Microsoft PowerBI, Tableau, D3)
  0  

Get a very fast demo of visualization tools used to do one of three things: 1. Change a process or behavior 2. Change a product 3. Move a metric And find out when and why you want to use these tools: -Tableau -Microsoft PowerBI (Power View, PowerPivot) -D3

Level 200 - (Beginner): Introductory / fast moving
Duration: Hour
Presenter: Norman Warren


How to get up and running in the "cloud" in less than 20 minutes
  0  

This session will cover how to be up and running in the "cloud" (OpenShift) in less than 20 minutes. I will show how easy it is to create nodes, set up continuous integration and scale all in few minutes using OpenShift.

Level 100 - Introduction
Duration: Half Hour
Presenter: Abhishek Andhavarapu



Machine Learning

Deep Learning
  4  

Google spent over $400million for a deep learning talent acquisition: http://www.technologyreview.com/news/524026/is-google-cornering-the-market-on-deep-learning/ Learn how to get starting using deep learning for prediction. Examples that will be shown will be text prediction and digit recognition. Ben Taylor is HireVue's principal data scientist who has spent the last year working on digital interview prediction.

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


Unstructured Data & Deep Learning
  1  

Many companies are trying to still figure out just how sophisticated they need to be about their data. While companies like Narrative Science ($29M raised), InsideSales.com ($143M raised), and many others aim to bring advanced analytics as a service deeply integrated into their products. Together we'll take a look at the cost/benefit of going from a simple classifier to a more complex deep learning approach to keyword relevance in a simple proof of concept around predicting and optimizing responses in email and tweets.

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



Data Analytics

Three Classic Mistakes of Data Analysis
  3  

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


Resume modeling
  2  

This session will cover the full flow for doing resume prediction from candidates to scoring resumes algorithmically. This talk should help inspire individuals who are looking at doing text prediction from unstructured formats. Also, it should inspire general unstructured prediction interests. Ben is HireVue's principal data scientist and has been responsible for much of the machine learning behind digital interview prediction.

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



Professional Development

Data Driven Culture for Business Users
  1  

In big data companies, business intelligence problems are tackled by three major groups: Data scientists, analytics, and business analysts. With big data technology developing at a rapid pace, data scientists and data analytics experts are being asked to focus on more and more on predictive and machine learning business questions. Meanwhile, business analysts, who often rely on data analytics support, are left without adequate support to solve the business problems that will impact their bottom line. Sara and Raquel will present a case study of how eBay’s “Shared Purpose” has fostered a culture of professional learning opportunities for business analysts to grow foundational technology skills. As business analysts become increasingly more versant on data discovery technologies, and even basic SQL, we can bridge the gap between the business side and the analytic side -- driving increased business productivity overall.

Volunteers: Sara Jones
Want to volunteer? I Can Present This!


Building the Big Data Community in Utah
  1  

What are the strategic and tactical steps that have been taken to grow the Big Data Community in Utah? What will be the path going forward and how do we alter the trajectory we're on to reach seemingly unachievable levels of success and become the premier Big Data Hub for the country and the world? Overview, thought discussion, and open conversation about the next steps to community stardom!

Level 200 - (Beginner): Introductory / fast moving
Duration: Hour
Presenter: Nick Baguley



Architecture

Emerging Patterns in BigData Solutions
  3  

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


Real time analytics using Hadoop and Elasticsearch
  0  

This session will cover how to use a batch processing engine (Hadoop) and speed layer (elasticsearch) for near real time analytics. Our master record store is SQL Server. We use Hadoop to perform all the heavy computations, etl process etc. And elasticsearch as the speed layer to which the reporting API’s hit. This session will also cover on how to import data into Hadoop, perform the necessary computation and export the data to an external data source.

Level 200 - (Beginner): Introductory / fast moving
Duration: Hour
Presenter: Abhishek Andhavarapu



Business of Data

It Takes Three Brains to Analyze Data
  4  

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


Why invest in Big Data and how to determine ROI - A CIO's perspective
  4  

The hype about Big Data is abundant and can drown out the real value that these new technologies offer. This session is about cutting through that hype and getting to the specifics by analyzing how Big Data technologies have helped allegiance save hundreds of thousands of dollars and improved product performance by 100x. This isn't marketing or sales speak. Jason will walk attendees through the business problems that Allegiance faced prior to the implementation of Big Data as a SaaS product solution. He will cover... - The technical and business challenges - The solution - Implementation of Big Data technologies - People challenges and strategies - How to approach the topic with the rest of your Executive Staff

Level 200 - (Beginner): Introductory / fast moving
Duration: Hour
Presenter: Jason Taylor


Understanding Your Processes Through Operational Intelligence
  4  

Business processes can get large and complex. So much so, that no one can understand each piece of the puzzle that makes the entire process work. This talk will be on how we put into place ways to capture the events of the processes so that we can more effectively understand and troubleshoot the system. This also allows us to perform further analysis (drilling down into details of the process, time patterns to see trends in how long a certain action takes, root cause analysis, and processing load analysis). This can also help people understand the many steps that can go into a business process.

Level 200 - (Beginner): Introductory / fast moving
Duration: Hour
Presenter: Scott Heffron



Data Visualization / Story Telling

There are no presentations in this track.


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