Definitions

Session Types

General Sessions
75-minute Conference Sessions

Half-Day Sessions
2.5 hours long, with a 15-minute break

Lightning Talks
10-minute talks that combine into a 75-minute General Session

Pre-Conference Sessions 
Full day sessions presented on the Monday and Tuesday before the general conference begins

Streams

Architecture

This stream will support learning focused on the framework and strategy for your data platform. From reconciling your organizations business and data strategies; to integration across a variety of tools, departments, clouds, or environments; to compliance, and everything in between. See what is coming tomorrow and how best to plan for it today.

Data Management

Whether you are the steward of your organization's data or you are optimizing your applications connection to the data this is where the rubber meets the road.

  • Data Management: Taking care of all your organization's data: acquiring, processing, storing, and securing the data while optimizing performance, building for scale and enabling access.
  • Development: Understanding how your application interacts with the data platform while optimizing your code for lightning fast application performance ensuring the smoothest experience for your user.

Analytics

From extracting, cleansing and preparing data, to analyzing and visualizing findings, to data science, machine learning and artificial intelligence. This is where the data gets a voice. Whether you use complex code or Excel, our Analytics stream can help you transform your data into insights for your business.

Professional Development

Not all skills are technical. The Professional Development stream will help you get the softer skills required to take your career to the next level by learning how to effectively communicate across your organization, demonstrate leadership, and influence change.

PASS Summit 2020 Tracks

Design

The first step in a data project is designing the solution – planning, scoping and identifying business requirements. This track includes sessions on infrastructure, data warehousing, ETL, data models, designing for the future and more. It covers what data pros need to know to successfully plan and manage small to enterprise-wide solutions.

Build

Building a technology solution is where the planning and design take form. This track covers the critical areas of creating solutions, including architecture, development, debugging, implementation, and performance.

Support

Maintaining and supporting database systems and solutions is crucial. This track focuses on the more administrative but no less important aspects of database system maintenance.

Perform

After a solution is in place, it must be tested, monitored, and optimized. This track covers the skills needed to fine-tune a solution, including trouble-shooting, performance testing, packaging, release, and speed. It also includes DevOps sessions focused on managing and motivating teams.

Scale

Successfully scaling technology requires the right tools, the right process, and the right mindset. This track focuses on the skills needed to scale a solution, including deployment, agile, Azure, and cloud.

Analyze

Analyzing critical business data is imperative for organizations today. This track focuses on how to ask questions of data, how to monitor the health of the organization using dashboards, how to explore new ways to visualize data, and how to create powerful reports to drive better decisions.

Evolve

The Evolve track is designed to inspire data professionals to proactively manage their career growth and their career journey. This track provides interactive and inspiring sessions to challenge data professionals to think differently about their careers, and learn what is needed to succeed today and in the future.

Innovate

All industries are impacted by innovation. Staying current with trends enables data professionals to bring leadership and guidance back to their companies and plan for initiatives. This track includes sessions on planning for the near future along with a look inside innovation being developed by the world’s most forward-thinking companies.

Technology Focuses

  • Advanced Analytics
  • Application Development
  • Artificial Intelligence
  • Big Data
  • Business Intelligence and Data Warehousing
  • Cloud Solutions
  • Data Governance / Privacy
  • Data Platform Strategy
  • Database Administration
  • Development
  • DevOps
  • Hybrid Infrastructure
  • Professional Development (Other)
  • Security

Session Skill Levels

100 Level
Introduction
1 yr experience

Assumes some basic knowledge of the concepts/features

200 Level
Beginner
1-3 yrs experience

Assumes comfort with technical concepts

300 Level
Intermediate
4-6 yrs experience

Assumes solid knowledge of technology

400 Level
Advanced
6+ yrs experience

Assumes advanced understanding of technology

500 Level
Expert
8+ yrs experience

Assumes deep technical knowledge of the technology

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